Carbon quota information distribution method and device, computer equipment and readable storage medium

Abstract

The invention relates to a carbon quota information distribution method and device, computer equipment and a readable storage medium. The method comprises the steps of obtaining load demand data, operation cost and carbon quota interaction data including a carbon quota providing amount and a carbon quota receiving amount of a micro-grid, and inputting the load demand data, the operation cost and the carbon quota interaction data into an optimized operation model, and generating a maximum available conversion value and an operation constraint condition by optimizing the operation model, inputting the carbon quota providing amount and the carbon quota receiving amount into the adjustment type carbon interaction model, carrying out carbon quota adjustment on the carbon quota providing amount and the carbon quota receiving amount to obtain a carbon quota adjustment value, and under the condition that the operation constraint condition is met, carrying out carbon quota adjustment on the carbon quota providing amount and the carbon quota receiving amount. And correspondingly adjusting the carbon quota adjustment value until the maximum available conversion value reaches the maximum value, obtaining the optimal carbon quota interaction amount among the microgrids, and finally distributing corresponding carbon quota information according to the optimal carbon quota interaction amount. By adopting the method, the distribution accuracy of the carbon quota information can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of power system operation and control, and in particular to a carbon quota information distribution method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] Carbon interaction is a market mechanism that aims to achieve the goal of reducing greenhouse gas emissions by allowing carbon emission rights to interact between different entities and optimizing the allocation of carbon emission rights resources through the establishment of a market mechanism. The carbon interaction market is mainly composed of three parts: the subject responsible for issuing carbon quotas, the carbon emission subjects participating in market interaction, and the interactive institutions that interact with carbon emission rights. The subject responsible for issuing carbon quotas allocates initial carbon emission quotas to each enterprise according to the pre-set ratio. Each carbon emission enterprise strictly abides by the agreement that the amount of carbon emissions is equal to the amount of carbon quotas to purchase or sell carbon emission quotas in the market. When there is a surplus of its own carbon emission quotas, it can sell them.

[0003] The current method of distributing carbon quotas is based on fixed carbon prices and tiered carbon prices. However, this method before the target has the problem of low accuracy in carbon quota distribution. Summary of the invention

[0004] Based on this, it is necessary to provide a carbon quota information distribution method, device, computer equipment, computer readable storage medium and computer program product that can improve the accuracy of carbon quota distribution in response to the above technical problems.

[0005] In a first aspect, the present application provides a carbon quota information distribution method, comprising:

[0006] Obtain the load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota supply and carbon quota reception;

[0007] Input the load demand data, operating cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0008] The carbon quota supply and carbon quota reception are input into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota supply and carbon quota reception are adjusted using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. Under the condition of satisfying the operation constraints, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction between each microgrid is obtained;

[0009] According to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid.

[0010] In one embodiment, the method further comprises:

[0011] Under the condition that the available conversion value is maximized, the interactive conversion value between each microgrid is obtained;

[0012] The maximized available conversion value and interactive conversion value are input into the pre-built carbon quota sharing adjustment negotiation model. Under the condition of satisfying the pre-set resource use constraints, the interactive conversion value is adjusted until the pre-set objective function reaches the minimum value, and the current interactive conversion value is obtained through the carbon quota sharing adjustment negotiation model.

[0013] In one embodiment, after obtaining the current interactive conversion value through the carbon quota sharing adjustment negotiation model, the method includes:

[0014] The carbon quota price between each microgrid is obtained by using the current interactive conversion value to compare with the optimal carbon quota interaction amount;

[0015] The carbon quota price is used as the new carbon quota price between microgrids.

[0016] The Nash adjustment method of asymmetric Nash negotiation is used to adjust the carbon quota provided and received, and the carbon quota adjustment value of each microgrid is obtained, including:

[0017] The maximum amount acquisition module in the multi-microgrid inter-grid adjustment carbon interaction model is used to obtain the maximum carbon quota supply of each microgrid from multiple carbon quota supply amounts, and the maximum carbon quota receiving amount of each microgrid is obtained from multiple carbon quota receiving amounts;

[0018] The maximum carbon quota supply, the maximum carbon quota reception, the carbon quota supply and the carbon quota reception are input into the adjustment value generation module in the multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota adjustment value of each microgrid is generated through the nonlinear energy mapping function pre-set in the adjustment value generation module.

[0019] The optimized operation models include: the optimized operation model of the science and technology park microgrid;

[0020] The operating costs include: carbon emission costs, thermal power unit operating costs, natural gas unit operating costs, solvent loss costs, carbon storage equipment costs, power transmission costs, wind farm maintenance costs, electric vehicle cluster operating costs, science and technology park and distribution network power interaction costs, and science and technology park power demand response costs;

[0021] The carbon quota interaction data include: the first carbon quota interaction volume and the corresponding first carbon quota interaction price between the science and technology park and the residential area in any period, and the second carbon quota interaction volume and the corresponding second carbon quota interaction price between the science and technology park and the industrial area;

[0022] The load demand data include: the maximum charging power, maximum discharging power, maximum power, minimum power and power change of the electric vehicle cluster in the time period, the power of the electric vehicle cluster at any time; the maximum value and minimum value of the power purchase and sale of the science and technology park to the distribution network, and the external power purchase and sale state variables corresponding to the science and technology park; the maximum value and minimum value of the purchase and sale of carbon quotas by the science and technology park to the superior carbon market, and the external purchase and sale of carbon quotas state variables corresponding to the science and technology park; the power load power, original load, transfer load and reduction load of the science and technology park after responding to user demand in the time period; the initial carbon quota and actual carbon emissions of the science and technology park; the maximum value of carbon quota interaction, interactive carbon quota amount and total interaction cost of each microgrid;

[0023] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0024] The maximum charging power, maximum discharging power, maximum power, minimum power, power change and power are input into the electric vehicle cluster charging and discharging constraint construction module in the science and technology park microgrid optimization operation model. The electric vehicle cluster charging and discharging constraint is obtained through the electric vehicle cluster charging and discharging constraint construction module.

[0025] The maximum value of power purchase and sale, the minimum value of power purchase and sale, and the external power purchase and sale state variables are input into the power purchase and sale power constraint construction module for the distribution network in the optimization operation model of the science and technology park microgrid. The power purchase and sale power constraint for the distribution network is obtained through the power purchase and sale power constraint construction module.

[0026] The maximum value of the purchase and sale carbon quota, the minimum value of the purchase and sale carbon quota and the external purchase and sale carbon quota state variables are input into the construction module of the purchase and sale carbon quota constraint to the superior carbon market in the optimization operation model of the science and technology park microgrid. The purchase and sale carbon quota constraint to the superior carbon market is obtained through the construction module of the purchase and sale carbon quota constraint to the superior carbon market.

[0027] The load power after user demand response, original load, transferred load, and reduced load are input into the power balance constraint construction module in the microgrid optimization operation model of the science and technology park. The power balance constraint is obtained through the power balance constraint construction module.

[0028] Input the initial carbon quota and actual carbon emissions into the carbon quota balance constraint construction module in the science and technology park microgrid optimization operation model, and obtain the carbon quota balance constraint through the carbon quota balance constraint construction module;

[0029] Input the carbon emission cost, the operation cost of thermal power units, the operation cost of natural gas units, the solvent loss cost, the carbon storage equipment cost, the power transmission cost, the wind farm maintenance cost, the electric vehicle cluster operation cost, the power interaction cost between the science and technology park and the distribution network, and the power demand response cost of the science and technology park into the operation cost acquisition module in the science and technology park microgrid optimization operation model, and obtain the operation cost of the science and technology park through the operation cost acquisition module;

[0030] Input the first carbon quota interaction amount, the first carbon quota interaction price, the second carbon quota interaction amount and the second carbon quota interaction price into the interaction conversion value acquisition module in the science and technology park microgrid optimization operation model, and obtain the first interaction conversion value and the second interaction conversion value respectively through the interaction conversion value acquisition module;

[0031] The operation cost of the science and technology park, the first interactive conversion value and the second interactive conversion value are input into the available conversion value acquisition module in the science and technology park microgrid optimization operation model, and the maximum available conversion value of the science and technology park is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0032] The optimized operation model also includes: the residential microgrid optimized operation model;

[0033] Operation costs include: interaction costs between the residential area and the upper carbon market, operation costs of the natural gas source cogeneration unit, electricity transmission costs, photovoltaic solar panel maintenance costs, and electricity demand response costs;

[0034] The carbon quota interaction data include: the third carbon quota interaction volume and the corresponding third carbon quota interaction price of residential areas and science and technology parks in any period of time, and the fourth carbon quota interaction volume and the corresponding fourth carbon quota interaction price of residential areas and industrial areas;

[0035] Load demand data include: the output power of CHP units in the time period, the heat power of gas boilers, the heat load power after user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power; the initial carbon quota of the residential area and the actual carbon emissions of the residential area;

[0036] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0037] The output electric power, the heat power generated by the gas boiler, the heat load power after the user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power are input into the electric and heat balance constraint construction module of the residential microgrid optimization operation model. The electric and heat balance constraints are obtained through the electric and heat balance constraint construction module.

[0038] Input the initial carbon quota of the residential area and the actual carbon emissions of the residential area into the carbon quota balance constraint construction module of the residential area microgrid optimization operation model, and obtain the carbon quota balance constraint through the carbon quota balance constraint construction module;

[0039] Input the interaction cost between the residential area and the upper carbon market, the operation cost of the natural gas source cogeneration group, the power transmission cost, the photovoltaic solar panel maintenance cost, and the power demand response cost into the operation cost acquisition module in the residential area microgrid optimization operation model, and obtain the residential area operation cost through the operation cost acquisition module;

[0040] Input the third carbon quota interaction amount, the third carbon quota interaction price, the fourth carbon quota interaction amount and the fourth carbon quota interaction price into the interactive conversion value acquisition module in the residential microgrid optimization operation model, and obtain the third interactive conversion value and the fourth interactive conversion value respectively through the interactive conversion value acquisition module;

[0041] The residential area operation cost, the third interactive conversion value and the fourth interactive conversion value are input into the available conversion value acquisition module in the residential area microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0042] The operation optimization model also includes: industrial zone microgrid optimization operation model;

[0043] The operating costs include: the interaction costs between the industrial zone and the upper carbon market, the operating costs of thermal power units, the operating costs of gas units, the power transmission costs, the power interaction costs and the load demand response costs;

[0044] The carbon quota interaction data include: the fifth carbon quota interaction volume and the corresponding fifth carbon quota interaction price of industrial areas and science and technology parks in any period, and the sixth carbon quota interaction volume and the corresponding sixth carbon quota interaction price of industrial areas and residential areas;

[0045] Load demand data include: the energy storage discharge power and energy storage charging power in the industrial area during the time period;

[0046] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0047] Input the energy storage discharge power and energy storage charging power of the industrial zone into the power balance constraint construction module of the industrial zone microgrid optimization operation model, and obtain the power balance constraint through the power balance constraint construction module;

[0048] The interaction cost between the industrial zone and the upper carbon market, the operation cost of thermal power units and gas units, the power transmission cost, the power interaction cost and the load demand response cost are input into the operation cost acquisition module in the industrial zone microgrid optimization operation model, and the operation cost of the industrial zone is obtained through the operation cost acquisition module;

[0049] Input the fifth carbon quota interaction amount, the fifth carbon quota interaction price, the sixth carbon quota interaction amount and the sixth carbon quota interaction price into the interaction conversion value acquisition module in the industrial zone microgrid optimization operation model, and obtain the fifth interaction conversion value and the sixth interaction conversion value respectively through the interaction conversion value acquisition module;

[0050] The industrial zone operating cost, the fifth interactive conversion value and the sixth interactive conversion value are input into the available conversion value acquisition module in the industrial zone microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0051] In a second aspect, the present application also provides a carbon quota information distribution device, comprising:

[0052] A data acquisition module is used to obtain the load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota supply and carbon quota reception;

[0053] A generation module is used to input load demand data, operating costs and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0054] The interaction amount acquisition module is used to input the carbon quota supply amount and the carbon quota reception amount into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and use the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply amount and the carbon quota reception amount to obtain the carbon quota adjustment value of each microgrid. Under the condition of meeting the operation constraint conditions, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, so as to obtain the optimal carbon quota interaction amount between each microgrid;

[0055] The information distribution module is used to distribute the corresponding carbon quota information to each microgrid according to the optimal carbon quota interaction amount.

[0056] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0057] Obtain the load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota supply and carbon quota reception;

[0058] Input the load demand data, operating cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0059] The carbon quota supply and carbon quota reception are input into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota supply and carbon quota reception are adjusted using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. Under the condition of satisfying the operation constraints, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction between each microgrid is obtained;

[0060] According to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid.

[0061] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the following steps are implemented:

[0062] Obtain the load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota supply and carbon quota reception;

[0063] Input the load demand data, operating cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0064] The carbon quota supply and carbon quota reception are input into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota supply and carbon quota reception are adjusted using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. Under the condition of satisfying the operation constraints, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction between each microgrid is obtained;

[0065] According to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid.

[0066] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0067] Obtain the load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota supply and carbon quota reception;

[0068] Input the load demand data, operating cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0069] The carbon quota supply and carbon quota reception are input into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota supply and carbon quota reception are adjusted using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. Under the condition of satisfying the operation constraints, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction between each microgrid is obtained;

[0070] According to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid.

[0071] The above-mentioned carbon quota information distribution method, device, computer equipment, computer-readable storage medium and computer program product first obtain the load demand data, operating cost and carbon quota interaction data including the carbon quota supply amount and the carbon quota reception amount of each microgrid, input the load demand data, operating cost and carbon quota interaction data into the pre-constructed optimization operation model corresponding to each microgrid, generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model, input the carbon quota supply amount and the carbon quota reception amount into the pre-constructed multi-microgrid inter-grid adjustment carbon interaction model, use the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply amount and the carbon quota reception amount, and obtain the carbon quota adjustment value of each microgrid. When the operation constraint conditions are met, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction amount between each microgrid is obtained. Finally, according to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid. Based on the differences in the internal components of different microgrids, a pre-built optimization operation model is used to obtain differentiated maximum available conversion values ​​and operation constraints. The multi-microgrid inter-grid adjustment carbon interaction model based on Nash negotiation theory is further used. Under the constraints of operation constraints, the optimal carbon quota interaction amount when the maximum available conversion value reaches the maximum value is obtained through this carbon interaction model. Based on the optimal carbon quota interaction amount, carbon quota information is distributed to each microgrid. By paying attention to the differentiated characteristics of each microgrid, the carbon quota interaction amounts between microgrids are differentiated and complemented, which improves the scientificity and accuracy of the determined optimal quota interaction amount, thereby improving the accuracy of the distribution of carbon quota information. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0073] Figure 1 A diagram of an application environment of a carbon quota information distribution method in an embodiment;

[0074] Figure 2 A schematic diagram of a process of distributing carbon quota information in one embodiment;

[0075] Figure 3 A diagram of an interconnected microgrid system architecture in one embodiment;

[0076] Figure 4 A line chart of carbon quota transaction prices within a multi-microgrid system in another embodiment;

[0077] Figure 5a A comparison chart of independent carbon emissions of each microgrid in an embodiment;

[0078] Figure 5b A comparison diagram of carbon emissions of various microgrids in another embodiment;

[0079] Figure 6 is a structural block diagram of a carbon quota information distribution device in one embodiment;

[0080] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0081] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0082] The carbon quota information distribution method provided in the embodiment of the present application can be applied to Figure 1In the application environment shown, the interconnected microgrid system can communicate with the server 102 through the network. The data storage system can store data that the server 102 needs to process. The data storage system can be integrated on the server 102, or it can be placed on the cloud or other network servers. The server 102 obtains the load demand data, operation cost and carbon quota interaction data of each microgrid, including the carbon quota supply amount and the carbon quota reception amount, first inputs the load demand data, operation cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, generates the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model, then inputs the carbon quota supply amount and the carbon quota reception amount into the pre-built multi-microgrid inter-network adjustment carbon interaction model, uses the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota of Tempe supply amount and carbon quota reception amount, obtains the carbon quota adjustment value of each microgrid, and then adjusts the carbon quota adjustment value accordingly when the operation constraint conditions are met until the maximum available conversion value reaches the maximum value, obtains the optimal carbon quota interaction amount between each microgrid, and finally distributes the corresponding carbon quota information to each microgrid according to the optimal carbon quota interaction amount. Among them, the microgrid can be composed of a regional power supply system divided into regions according to function and a device that generates carbon, such as a science and technology park, an industrial area, a residential area, etc. The server 102 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0083] In an exemplary embodiment, Figure 2 As shown, a carbon quota information distribution method is provided, which is applied to Figure 1 The server 104 in the example is used as an example to illustrate the method, which includes the following steps S201 to S204. Among them:

[0084] Step S201, obtaining load demand data, operating costs and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota provided amount and the carbon quota received amount.

[0085] Among them, load demand data can be understood as the demand for resources of the microgrid system within a certain period of time, such as electricity load demand data and hydraulic load demand data; operating cost can be understood as the operation of power generation and power supply equipment within the microgrid, as well as the cost consumed to ensure the normal operation of the microgrid; carbon quota interaction data can be understood as the interaction data of carbon quotas between microgrids, and the interaction data includes quantity and price.

[0086] For example, server 102 obtains load demand data, operating costs and carbon quota interaction data of each microgrid, wherein the carbon quota interaction data includes the carbon quota supply amount and the carbon quota reception amount, laying a data foundation for the subsequent acquisition of the maximum available conversion value and operating constraints of each microgrid.

[0087] Step S202, input the load demand data, operation cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model.

[0088] Among them, the optimization operation model can be understood as a mathematical model used for calculation, maximizing the available conversion value can be understood as the optimal operating benefit of the microgrid under the current circumstances, that is, combining economy and low carbon, and the operation constraints can be understood as the conditions that should be met when adjusting the carbon quota interaction between microgrids in the future, which is necessary to ensure the normal operation of each microgrid.

[0089] Optionally, the server 102 inputs the load demand data, the operating cost and the carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and calculates the load demand data, the operating cost and the carbon quota interaction data through the optimization operation model to obtain the optimal operation benefit and operation constraint conditions of each microgrid. The optimal operation benefit and operation constraint conditions corresponding to each microgrid are obtained by optimizing the operation model, which has high flexibility and accuracy, and then the accuracy of the optimal carbon quota interaction amount is obtained.

[0090] Step S203, input the carbon quota supply amount and the carbon quota reception amount into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, use the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply amount and the carbon quota reception amount, and obtain the carbon quota adjustment value of each microgrid. When the operating constraints are met, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction amount between the microgrids is obtained.

[0091] Among them, asymmetric Nash negotiation can be understood as the asymmetry of information, resources or power between the participants. Unlike the classical Nash equilibrium theory, asymmetric Nash negotiation takes into account the capabilities, advantages and strategic choices of different participants; the Nash adjustment method can be understood as finding a fair and reasonable solution between the participants in the negotiation to optimize the utility of both parties. The core concept is to achieve the highest possible benefits through reasonable cooperation. The carbon quota adjustment value can be understood as a measurable measure of the contribution of each microgrid in carbon emission reduction. The greater the contribution, the greater the corresponding adjustment value.

[0092] For example, the server 102 inputs the carbon quota supply and carbon quota reception into the pre-built multi-microgrid inter-network adjustment carbon interaction model, and uses the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply and carbon quota reception to obtain the carbon quota adjustment value of each microgrid. Under the condition of satisfying the operation constraint conditions, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction between each microgrid is obtained. Combining the Nash adjustment method, the maximum available conversion value of each microgrid and the operation constraint conditions, the optimal carbon quota interaction obtained is more reasonable and more suitable for the application environment where multiple microgrids coexist and collaborate.

[0093] Step S204: Distribute corresponding carbon quota information to each microgrid according to the optimal carbon quota interaction amount.

[0094] Among them, the carbon quota information can be understood as the initial carbon quota that each microgrid should have, which is issued by the server to make the carbon quota interaction between microgrids smoother.

[0095] Optionally, the server 102 generates the initial carbon quota that each microgrid system should be equipped with according to the optimal carbon quota interaction amount, and distributes the corresponding initial carbon quota to each microgrid, and each microgrid interacts with each other based on the initial carbon quota. Due to the rationality and accuracy of the optimal carbon quota interaction amount, the distribution accuracy of the carbon quota information is improved.

[0096] In the above-mentioned carbon quota information distribution method, the load demand data, operating cost and carbon quota interaction data including the carbon quota supply and carbon quota reception of each microgrid are first obtained, and the load demand data, operating cost and carbon quota interaction data are input into the pre-constructed optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, and the carbon quota supply and carbon quota reception are input into the pre-constructed multi-microgrid inter-grid adjustment carbon interaction model. The carbon quota supply and carbon quota reception are adjusted by the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. When the operation constraint conditions are met, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction amount between each microgrid is obtained. Finally, according to the optimal carbon quota interaction amount, the corresponding carbon quota information is distributed to each microgrid. Based on the differences in the internal components of different microgrids, a pre-built optimization operation model is used to obtain differentiated maximum available conversion values ​​and operation constraints. The multi-microgrid inter-grid adjustment carbon interaction model based on Nash negotiation theory is further used. Under the constraints of operation constraints, the optimal carbon quota interaction amount when the maximum available conversion value reaches the maximum value is obtained through this carbon interaction model. Based on the optimal carbon quota interaction amount, carbon quota information is distributed to each microgrid. By paying attention to the differentiated characteristics of each microgrid, the carbon quota interaction amounts between microgrids are differentiated and complemented, which improves the scientificity and accuracy of the determined optimal quota interaction amount, thereby improving the accuracy of the distribution of carbon quota information.

[0097] In one embodiment, the method also includes: when the maximized available conversion value reaches a maximum value, obtaining the interactive conversion value between each microgrid; inputting the maximized available conversion value and the interactive conversion value into a pre-constructed carbon quota sharing adjustment negotiation model, and adjusting the interactive conversion value while satisfying pre-set resource usage constraints until the pre-set objective function reaches a minimum value, and obtaining the current interactive conversion value through the carbon quota sharing adjustment negotiation model.

[0098] Among them, the interactive conversion value can be understood as the carbon quota trading value between microgrids where carbon quota trading occurs.

[0099] For example, when the maximum available conversion value reaches the maximum value, the server 102 obtains the carbon quota trading value between each microgrid, and inputs the maximum available conversion value and the carbon quota trading value into the pre-built carbon quota sharing adjustment negotiation model, and adjusts the interactive conversion value under the condition of satisfying the pre-set resource use restriction conditions until the pre-set objective function obtains the minimum value, and obtains the current carbon quota trading value through the carbon quota sharing adjustment negotiation model. Effectively integrate and allocate carbon quotas between microgrids, promote efficient use and conversion of resources, and minimize the cost of striving for efficient use of resources.

[0100] In one of the embodiments, after obtaining the current interactive conversion value through the carbon quota sharing adjustment negotiation model, it includes: using the current interactive conversion value to compare with the optimal carbon quota interaction amount to obtain the carbon quota price between each microgrid; and using the carbon quota price as the new carbon quota price between each microgrid.

[0101] Optionally, server 102 uses the current carbon quota transaction value to compare with the optimal carbon quota interaction amount to obtain the carbon quota price between each microgrid, and uses this carbon quota price as the new carbon quota price between each microgrid. The carbon quota price obtained above can maximize the economic benefits, and the carbon quota prices between microgrids are almost the same, which enhances the stability of the system.

[0102] In an exemplary embodiment, the carbon quota provided amount and the carbon quota received amount are adjusted by using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid, including:

[0103] Through the maximum amount acquisition module in the multi-microgrid inter-grid adjustment carbon interaction model, the maximum carbon quota supply of each microgrid is obtained from multiple carbon quota supply amounts, and the maximum carbon quota reception of each microgrid is obtained from multiple carbon quota reception amounts; the maximum carbon quota supply amount, the maximum carbon quota reception amount, the carbon quota supply amount and the carbon quota reception amount are input into the adjustment value generation module in the multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota adjustment value of each microgrid is generated through the nonlinear energy mapping function pre-set in the adjustment value generation module.

[0104] For example, the server 102 obtains the maximum carbon quota supply of each microgrid from multiple carbon quota supply amounts, and obtains the maximum carbon quota receiving amount of each microgrid from multiple carbon quota receiving amounts through the maximum amount acquisition module in the multi-microgrid inter-network adjustment carbon interaction model, and inputs the maximum carbon quota supply amount, the maximum carbon quota receiving amount, the carbon quota supply amount and the carbon quota receiving amount into the adjustment value generation module in the multi-microgrid inter-network adjustment carbon interaction model, and brings the data into the nonlinear mapping function through the nonlinear energy mapping function pre-set in the adjustment value generation module to generate the carbon quota adjustment value of each microgrid. By using the nonlinear mapping function to numerically quantify the contribution of each microgrid to the sharing, it is convenient to obtain the optimal carbon quota interaction amount based on the subsequent quantification of this contribution.

[0105] In one embodiment, the optimized operation model includes: a science and technology park microgrid optimized operation model;

[0106] The operating costs include: carbon emission costs, thermal power unit operating costs, natural gas unit operating costs, solvent loss costs, carbon storage equipment costs, power transmission costs, wind farm maintenance costs, electric vehicle cluster operating costs, science and technology park and distribution network power interaction costs, and science and technology park power demand response costs;

[0107] The carbon quota interaction data include: the first carbon quota interaction volume and the corresponding first carbon quota interaction price between the science and technology park and the residential area in any period, and the second carbon quota interaction volume and the corresponding second carbon quota interaction price between the science and technology park and the industrial area;

[0108] The load demand data include: the maximum charging power, maximum discharging power, maximum power, minimum power and power change of the electric vehicle cluster in the time period, the power of the electric vehicle cluster at any time; the maximum value and minimum value of the power purchase and sale of the science and technology park to the distribution network, and the external power purchase and sale state variables corresponding to the science and technology park; the maximum value and minimum value of the purchase and sale of carbon quotas by the science and technology park to the superior carbon market, and the external purchase and sale of carbon quotas state variables corresponding to the science and technology park; the power load power, original load, transfer load and reduction load of the science and technology park after responding to user demand in the time period; the initial carbon quota and actual carbon emissions of the science and technology park; the maximum value of carbon quota interaction, interactive carbon quota amount and total interaction cost of each microgrid;

[0109] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0110] The maximum charging power, maximum discharging power, maximum power, minimum power, power change and power are input into the electric vehicle cluster charging and discharging constraint construction module in the science and technology park microgrid optimization operation model. The electric vehicle cluster charging and discharging constraint is obtained through the electric vehicle cluster charging and discharging constraint construction module.

[0111] The maximum value of power purchase and sale, the minimum value of power purchase and sale, and the external power purchase and sale state variables are input into the power purchase and sale power constraint construction module for the distribution network in the optimization operation model of the science and technology park microgrid. The power purchase and sale power constraint for the distribution network is obtained through the power purchase and sale power constraint construction module.

[0112] The maximum value of the purchase and sale carbon quota, the minimum value of the purchase and sale carbon quota and the external purchase and sale carbon quota state variables are input into the construction module of the purchase and sale carbon quota constraint to the superior carbon market in the optimization operation model of the science and technology park microgrid. The purchase and sale carbon quota constraint to the superior carbon market is obtained through the construction module of the purchase and sale carbon quota constraint to the superior carbon market.

[0113] The load power after user demand response, original load, transferred load, and reduced load are input into the power balance constraint construction module in the microgrid optimization operation model of the science and technology park. The power balance constraint is obtained through the power balance constraint construction module.

[0114] Input the initial carbon quota and actual carbon emissions into the carbon quota balance constraint construction module in the science and technology park microgrid optimization operation model, and obtain the carbon quota balance constraint through the carbon quota balance constraint construction module;

[0115] Input the carbon emission cost, the operation cost of thermal power units, the operation cost of natural gas units, the solvent loss cost, the carbon storage equipment cost, the power transmission cost, the wind farm maintenance cost, the electric vehicle cluster operation cost, the power interaction cost between the science and technology park and the distribution network, and the power demand response cost of the science and technology park into the operation cost acquisition module in the science and technology park microgrid optimization operation model, and obtain the operation cost of the science and technology park through the operation cost acquisition module;

[0116] Input the first carbon quota interaction amount, the first carbon quota interaction price, the second carbon quota interaction amount and the second carbon quota interaction price into the interaction conversion value acquisition module in the science and technology park microgrid optimization operation model, and obtain the first interaction conversion value and the second interaction conversion value respectively through the interaction conversion value acquisition module;

[0117] The operation cost of the science and technology park, the first interactive conversion value and the second interactive conversion value are input into the available conversion value acquisition module in the science and technology park microgrid optimization operation model, and the maximum available conversion value of the science and technology park is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0118] Optionally, the science and technology park is located in the suburbs with high wind power output. The system includes thermal power units and natural gas units equipped with carbon capture equipment, wind turbines, power-to-gas equipment, carbon storage equipment, basic power loads and electric vehicles.

[0119] The goal of the science and technology park microgrid is to optimize its electricity purchase and sales and carbon quota purchase and sales to maximize operating benefits. Its objective function is as follows:

[0120] max U tec =I tec2res +I tec2ind -C tec (1)

[0121] Where: U tec The operation benefits of the microgrid in the science and technology park; tec2res Trading income for technology parks and residential areas; I tec2ind For the technology park and industrial zone transaction income; C tec The operating costs of the science and technology park.

[0122]

[0123] Where: C tec2res，t , C tec2ind，t are the carbon quota trading volumes of the science and technology park, residential area and industrial area in period t respectively; tec2res，t , π tec2ind，t are the carbon quota trading prices for the science and technology park, residential area and industrial area during period t respectively.

[0124] C tec =C T，tec +C G，tec +C GT，tec +C R，tec +C Z，tec +C wT，tec +C EV，tec +C otra，tec +C DR，tec (4)

[0125]

[0126] Where: C T，tec for the cost of carbon emissions; are the purchase and sale prices of carbon quotas in the upper market respectively; and is the carbon quota traded between the science and technology park and the upper carbon market during period t; C G，tec is the operating cost of thermal power units; C GT，tec is the operating cost of the natural gas unit; C R，tec is the solvent loss cost; C Z，tec is the cost of carbon storage equipment; C tran，tec is the cost of power transmission; C WT，tec is the maintenance cost of the wind farm; C EV，tec Costs of running a cluster of electric vehicles; are the charging and discharging power of the electric vehicle cluster in the science and technology park during period t; ev is the charging and discharging loss of the electric vehicle cluster; C otra，tec The cost of electricity trading between the science and technology park and the distribution network; and are the electricity purchase and sale prices of the distribution network; C DR，tec The cost of electricity demand response in science and technology parks.

[0127] The constraints are as follows:

[0128] (1) Electric vehicle cluster charging and discharging constraints:

[0129]

[0130] Where: is the maximum charging and discharging power of the electric vehicle cluster in the science and technology park during period t; is the power of the electric vehicle cluster at time t; The maximum and minimum power of the electric vehicle cluster in period t respectively; It is the change in power consumption of the electric vehicle cluster in the science and technology park during period t due to EV users joining or leaving the grid.

[0131] (2) Constraints on power purchase and sales from distribution networks:

[0132]

[0133] Where: They are the maximum and minimum values ​​of electricity purchased and sold by the industrial park to the distribution network; They are the external electricity purchase and sales state variables corresponding to the science and technology park.

[0134] (3) Constraints on the purchase and sale of carbon quotas in the upper carbon market:

[0135]

[0136] Where: They are the maximum and minimum values ​​of carbon quotas purchased and sold by the park to the higher-level carbon market; They are the state variables of external purchase and sale of carbon quotas corresponding to the science and technology park.

[0137] (4) Electric power balance constraints:

[0138]

[0139] Where: is the power load power after the users in the science and technology park respond to the demand during period t; is the original electrical load during period t; Transfer the electrical load for time period t; Reduce the electrical load during period t.

[0140] (5) Carbon quota balance constraints:

[0141]

[0142] Where: The initial carbon quota for the science park; is the actual carbon emissions of the science park.

[0143] (6) Carbon quota trading constraints:

[0144]

[0145] Where: The maximum value of carbon quota trading for each microgrid; is the carbon quota of each microgrid; τ i，t It is the total cost required for each entity to participate in carbon trading.

[0146] The load demand data, operating costs and carbon quota interaction data in the science and technology park are input into the science and technology park microgrid optimization operation model. Through this model, the charging and discharging constraints of the electric vehicle cluster in the science and technology park, the power purchase and sale constraints from the distribution network, the purchase and sale of carbon quotas from the superior carbon market, the power balance constraints and the power balance constraints are obtained. Under these constraints, the maximum available conversion value in the current science and technology park is obtained, which lays a data foundation for the science and technology park's differentiated constraints and the maximum available conversion value for the subsequent generation of the optimal carbon quota interaction between each microgrid, and lays a data foundation for achieving differentiated complementarity.

[0147] In one of the embodiments, the optimized operation model further includes: a residential microgrid optimized operation model;

[0148] Operation costs include: interaction costs between the residential area and the upper carbon market, operation costs of the natural gas source cogeneration unit, electricity transmission costs, photovoltaic solar panel maintenance costs, and electricity demand response costs;

[0149] The carbon quota interaction data include: the third carbon quota interaction volume and the corresponding third carbon quota interaction price of residential areas and science and technology parks in any period of time, and the fourth carbon quota interaction volume and the corresponding fourth carbon quota interaction price of residential areas and industrial areas;

[0150] Load demand data include: the output power of CHP units in the time period, the heat power of gas boilers, the heat load power after user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power; the initial carbon quota of the residential area and the actual carbon emissions of the residential area;

[0151] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0152] The output electric power, the heat power generated by the gas boiler, the heat load power after the user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power are input into the electric and heat balance constraint construction module of the residential microgrid optimization operation model. The electric and heat balance constraints are obtained through the electric and heat balance constraint construction module.

[0153] Input the initial carbon quota of the residential area and the actual carbon emissions of the residential area into the carbon quota balance constraint construction module of the residential area microgrid optimization operation model, and obtain the carbon quota balance constraint through the carbon quota balance constraint construction module;

[0154] Input the interaction cost between the residential area and the upper carbon market, the operation cost of the natural gas source cogeneration group, the power transmission cost, the photovoltaic solar panel maintenance cost, and the power demand response cost into the operation cost acquisition module in the residential area microgrid optimization operation model, and obtain the residential area operation cost through the operation cost acquisition module;

[0155] Input the third carbon quota interaction amount, the third carbon quota interaction price, the fourth carbon quota interaction amount and the fourth carbon quota interaction price into the interactive conversion value acquisition module in the residential microgrid optimization operation model, and obtain the third interactive conversion value and the fourth interactive conversion value respectively through the interactive conversion value acquisition module;

[0156] The residential area operation cost, the third interactive conversion value and the fourth interactive conversion value are input into the available conversion value acquisition module in the residential area microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0157] For example, considering that household users in residential areas have solar panels, the system photovoltaic output level is relatively high. The system includes a natural gas source heat-power cogeneration unit, photovoltaic equipment, gas boiler, heat storage equipment, basic electricity, heat load and electric vehicles.

[0158] The objective function of the residential microgrid operation is as follows:

[0159] max U res =I res2tec +I res2ind -C res (30)

[0160] Where: U res The operating benefits of the main microgrid in the residential area; res2tec Trading income for residential areas and technology parks; I res2ind Trading income for residential and industrial areas; C res Running costs for residential areas.

[0161]

[0162] Where: C res2tec，t , C res2ind，t are the carbon quota trading volumes of residential areas, science and technology parks, and industrial areas during period t; res2tec，t , π res2ind，t are the carbon quota trading prices for residential areas, science and technology parks, and industrial areas during period t respectively.

[0163] C res =C T，res +C Gas，res +C PV，res +CEV，res +C otraa，res +C DR，res (33)

[0164]

[0165] Where: C T，res The cost of trading with the parent carbon market for residential areas; and is the carbon quota traded between the residential area and the upper carbon market during period t; C Gas，res is the operating cost of the natural gas-based cogeneration unit in the residential area; C tran，res is the electricity transmission cost in residential areas; C PV，res The maintenance cost of photovoltaic solar panels; PV P is the maintenance cost coefficient per unit photovoltaic power generation; PV，t is the photovoltaic power generation in period t; C EV，res Costs of running a cluster of electric vehicles; They are respectively the charging and discharging power of the residential electric vehicle cluster during period t; and are the power purchase and sale between the residential area and the distribution network at time t; C DR，tec The cost of demand response for residential electricity.

[0166] The electrical and thermal power balance constraints are as follows:

[0167]

[0168] Where: is the output power of CHP (Cogeneration Heat and Power) unit i in period t; The heating power of the gas boiler; The heat load power after responding to user demand; is the original heat load during period t; Transfer heat load for period t; Reduce heat load for period t; Thermal storage charging and discharging power.

[0169] The carbon quota balance constraints are as follows:

[0170]

[0171] Where: Initial carbon quota for residential areas; is the actual carbon emissions of the residential area.

[0172] The load demand data, operating costs and carbon quota interaction data in the residential area are input into the science and technology park microgrid optimization operation model. Through this model, the electricity and heat balance constraints and carbon quota balance constraints in the residential area are obtained, and the maximum available conversion value in the current residential area is obtained under these constraints. This lays a data foundation for the differentiated constraints and maximized available conversion values ​​of the residential areas for the subsequent generation of the optimal carbon quota interaction between each microgrid, and also lays a data foundation for achieving differentiated complementarity.

[0173] In an exemplary embodiment, the operation optimization model further includes: an industrial zone microgrid optimization operation model;

[0174] The operating costs include: the interaction costs between the industrial zone and the upper carbon market, the operating costs of thermal power units, the operating costs of gas units, the power transmission costs, the power interaction costs and the load demand response costs;

[0175] The carbon quota interaction data include: the fifth carbon quota interaction volume and the corresponding fifth carbon quota interaction price of industrial areas and science and technology parks in any period, and the sixth carbon quota interaction volume and the corresponding sixth carbon quota interaction price of industrial areas and residential areas;

[0176] Load demand data include: the energy storage discharge power and energy storage charging power in the industrial area during the time period;

[0177] The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each microgrid. The maximum available conversion value and operation constraint conditions of each microgrid are generated through the optimization operation model, including:

[0178] Input the energy storage discharge power and energy storage charging power of the industrial zone into the power balance constraint construction module of the industrial zone microgrid optimization operation model, and obtain the power balance constraint through the power balance constraint construction module;

[0179] The interaction cost between the industrial zone and the upper carbon market, the operation cost of thermal power units and gas units, the power transmission cost, the power interaction cost and the load demand response cost are input into the operation cost acquisition module in the industrial zone microgrid optimization operation model, and the operation cost of the industrial zone is obtained through the operation cost acquisition module;

[0180] Input the fifth carbon quota interaction amount, the fifth carbon quota interaction price, the sixth carbon quota interaction amount and the sixth carbon quota interaction price into the interaction conversion value acquisition module in the industrial zone microgrid optimization operation model, and obtain the fifth interaction conversion value and the sixth interaction conversion value respectively through the interaction conversion value acquisition module;

[0181] The industrial zone operating cost, the fifth interactive conversion value and the sixth interactive conversion value are input into the available conversion value acquisition module in the industrial zone microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0182] Optionally, the industrial zone microgrid mainly includes coal-fired units, natural gas units, energy storage devices, industrial power loads, etc., and its optimization operation objective function is as follows:

[0183] max U ind =I ind2tec +I ind2res -C ind (43)

[0184] Where: U ind The operating benefits of the main microgrid in the industrial zone; ind2tec Trading income for industrial and technology parks; ind2res Trading income for industrial and residential areas; C ind The operating costs of the industrial zone.

[0185]

[0186] Where: C ind2tec，t , C ind2res，t are the trading carbon quotas of industrial zone, science park and residential area in period t respectively; ind2tec，t , π ind2res，t are the carbon quota trading prices for industrial zones, science and technology parks, and residential areas during period t respectively.

[0187] C ind =C T，ind +C G，ind +C GT，ind +C otra，ind +C D，ind (46)

[0188]

[0189] Where: C T，ind is the transaction cost between the industrial zone and the upper carbon market; C Gi，ind is the operating cost of thermal power units in industrial areas; C GT，ind is the operating cost of gas-fired units in industrial areas; C tran，ind is the electricity transmission cost in industrial area; C otra，ind The cost of electricity transaction between industrial zone and upper distribution network; C DR，tec The demand response cost for industrial loads.

[0190] The power balance constraint is shown in equation (52)-(53):

[0191]

[0192] Where: is the energy storage discharge power in the industrial area during period t; is the energy storage charging power in the industrial area during period t.

[0193] The load demand data, operating costs and carbon quota interaction data in the industrial zone are input into the science and technology park microgrid optimization operation model. Through this model, the electricity and heat balance constraints and carbon quota balance constraints in the industrial zone are obtained, and the maximum available conversion value in the current industrial zone is obtained under these constraints. This lays a data foundation for the differentiated constraints and maximized available conversion values ​​of the industrial zone for the subsequent generation of the optimal carbon quota interaction between each microgrid, and also lays a data foundation for achieving differentiated complementarity.

[0194] In an exemplary embodiment, a specific implementation method for distributing carbon quota information is provided, as follows:

[0195] Taking a multi-microgrid system consisting of three microgrids as an example, cooperative optimization operation is carried out based on transactions. Considering that different microgrids have different source-load characteristics and operating equipment, science and technology parks, residential areas and industrial areas are selected to represent typical microgrids, and optimization operation models are established for different types of microgrids.

[0196] Multi-microgrid system architecture Figure 3 As shown in the figure, a multi-microgrid system is composed of distribution network operators, superior carbon markets, multi-microgrid system agent platforms and several microgrids, realizing energy sharing and coordinated complementarity in a larger range.

[0197] Microgrids usually contain various energy supply equipment such as thermal power units, natural gas units and renewable energy units, multiple energy storage devices such as electric storage, heat storage and carbon storage, and multiple user needs such as electric load, heat load and electric vehicle load. In addition, some microgrids are also equipped with multi-energy coupling equipment such as power-to-gas equipment and gas boilers, as well as emission reduction devices such as carbon capture systems to meet the operation needs of different types of microgrids.

[0198] 1. Construction of microgrid operation model in science and technology park:

[0199] The science and technology park is located in the suburbs, with high wind power output. The system includes thermal power units and natural gas units equipped with carbon capture equipment, wind turbines, power-to-gas equipment, carbon storage equipment, basic power loads and electric vehicles.

[0200] The goal of the science and technology park microgrid is to optimize its electricity purchase and sales and carbon quota purchase and sales to maximize operating benefits. Its objective function is as follows:

[0201] max U tec =Itec2res +I tec2ind -C tec (54)

[0202] Where: U tec The operation benefits of the microgrid in the science and technology park; tec2res Trading income for technology parks and residential areas; I tec2ind For the technology park and industrial zone transaction income; C tec The operating costs of the science and technology park.

[0203]

[0204] Where: C tec2rcs，t , C tec2ind，t are the carbon quota trading volumes of the science and technology park, residential area and industrial area in period t respectively; tec2res，t , π tec2ind，t are the carbon quota trading prices for the science and technology park, residential area and industrial area during period t respectively.

[0205] C tec =C T，tec +C G，tec +C GT，tec +C R，tec +C Z，tec +C WT，tec +C EV，tec +C otra，tec +C DR，tec (57)

[0206]

[0207]

[0208] Where: C T，tec for the cost of carbon emissions; are the purchase and sale prices of carbon quotas in the upper market respectively; and is the carbon quota traded between the science and technology park and the upper carbon market during period t; C G，tec is the operating cost of thermal power units; C Gt，tec is the operating cost of the natural gas unit; C R，tec is the solvent loss cost; C Z，tec is the cost of carbon storage equipment; C tran，tec is the cost of power transmission; C WT，tec is the maintenance cost of the wind farm; C EV，tec Costs of running a cluster of electric vehicles; are the charging and discharging power of the electric vehicle cluster in the science and technology park during period t; ev is the charging and discharging loss of the electric vehicle cluster; C otra，tecThe cost of electricity trading between the science and technology park and the distribution network; and are the electricity purchase and sale prices of the distribution network; C DR，tec The cost of electricity demand response in science and technology parks.

[0209] The constraints are as follows:

[0210] (1) Electric vehicle cluster charging and discharging constraints:

[0211]

[0212] Where: is the maximum charging and discharging power of the electric vehicle cluster in the science and technology park during period t; is the power of the electric vehicle cluster at time t; The maximum and minimum power of the electric vehicle cluster in period t respectively; It is the change in power consumption of the electric vehicle cluster in the science and technology park during period t due to EV users joining or leaving the grid.

[0213] (2) Constraints on power purchase and sales from distribution networks:

[0214]

[0215] Where: They are the maximum and minimum values ​​of electricity purchased and sold by the industrial park to the distribution network; They are the external electricity purchase and sales state variables corresponding to the science and technology park.

[0216] (3) Constraints on the purchase and sale of carbon quotas in the upper carbon market:

[0217]

[0218] Where: They are the maximum and minimum values ​​of carbon quotas purchased and sold by the park to the higher-level carbon market; They are the state variables of external purchase and sale of carbon quotas corresponding to the science and technology park.

[0219] (4) Electric power balance constraints:

[0220]

[0221] Where: is the power load power after the users in the science and technology park respond to the demand during period t; is the original electrical load during period t; Transfer the electrical load for time period t; Reduce the electrical load during period t.

[0222] (5) Carbon quota balance constraints:

[0223]

[0224] Where: The initial carbon quota for the science park; is the actual carbon emissions of the science park.

[0225] (6) Carbon quota trading constraints:

[0226]

[0227]

[0228] Where: The maximum value of carbon quota trading for each microgrid; is the carbon quota of each microgrid; τ i，t It is the total cost required for each entity to participate in carbon trading.

[0229] 2. Construction of residential microgrid operation model:

[0230] Considering that the households in the residential area have solar panels, the system photovoltaic output level is relatively high. The system includes a natural gas source heat-power cogeneration unit, photovoltaic equipment, gas boilers, heat storage equipment, basic electricity, heat load and electric vehicles.

[0231] The objective function of the residential microgrid operation is as follows:

[0232] max U res =I res2tec +I res2ind -C res (83)

[0233] Where: U res The operating benefits of the main microgrid in the residential area; res2tec Trading income for residential areas and technology parks; I res2ind Trading income for residential and industrial areas; C res Running costs for residential areas.

[0234]

[0235] Where: C res2tec，t , C res2ind，t are the carbon quota trading volumes of residential areas, science and technology parks, and industrial areas during period t; res2tec，t , π res2ind，t are the carbon quota trading prices for residential areas, science and technology parks, and industrial areas during period t respectively.

[0236] C res =C T，res +C Gas，res +C PV，res +CEV，res +C otra，res +C DR，res (86)

[0237]

[0238] Where: C T，res The cost of trading with the parent carbon market for residential areas; and is the carbon quota traded between the residential area and the upper carbon market during period t; C Gas，res is the operating cost of the natural gas-based cogeneration unit in the residential area; C tran，res is the electricity transmission cost in residential areas; C PV，res The maintenance cost of photovoltaic solar panels; PV P is the maintenance cost coefficient per unit photovoltaic power generation; PV，t is the photovoltaic power generation in period t; C EV,res Costs of running a cluster of electric vehicles; They are respectively the charging and discharging power of the residential electric vehicle cluster during period t; and are the power purchase and sale between the residential area and the distribution network at time t; C DR，tec The cost of demand response for residential electricity.

[0239] The electrical and thermal power balance constraints are as follows:

[0240]

[0241] Where: is the output power of CHP unit i in period t; The heating power of the gas boiler; The heat load power after responding to user demand; is the original heat load during period t; Transfer heat load for period t; Reduce heat load for period t; Thermal storage charging and discharging power.

[0242] The carbon quota balance constraints are as follows:

[0243]

[0244] Where: Initial carbon quota for residential areas; is the actual carbon emissions of the residential area.

[0245] 3. Construction of industrial zone microgrid operation model:

[0246] The industrial zone microgrid mainly includes coal-fired units, natural gas units, energy storage devices, industrial power loads, etc. Its optimization operation objective function is as follows:

[0247] max U ind =I ind2tec +I ind2res -C ind (96)

[0248] Where: U ind The operating benefits of the main microgrid in the industrial zone; ind2tec Trading income for industrial and technology parks; ind2res Trading income for industrial and residential areas; C ind The operating costs of the industrial zone.

[0249]

[0250] Where: C ind2tec，t , C ind2res，t are the trading carbon quotas of industrial zone, science park and residential area in period t respectively; ind2tec，t , π ind2tec，t are the carbon quota trading prices for industrial zones, science and technology parks, and residential areas during period t respectively.

[0251] C ind =C T，ind +C G，ind +C GT，ind +C otra，ind +C DR，ind (99)

[0252]

[0253] Where: C T，ind is the transaction cost between the industrial zone and the upper carbon market; C G，ind is the operating cost of thermal power units in industrial areas; C GT，ind is the operating cost of gas-fired units in industrial areas; C tran，ind is the electricity transmission cost in industrial area; C otra，ind The cost of electricity transaction between industrial zone and upper distribution network; C DR，tec The demand response cost for industrial loads.

[0254] The power balance constraint is shown in equation (52)-(53):

[0255]

[0256] Where: is the energy storage discharge power in the industrial area during period t; is the energy storage charging power in the industrial area during period t.

[0257] 4. Low-carbon collaborative operation strategy of multiple microgrids on the distribution network side:

[0258] For the problem of coordinated operation of multiple microgrids in science and technology parks, residential areas and industrial areas, the application of Nash negotiation game theory can:

[0259]

[0260] Where: is the optimal operating benefit of each microgrid when there is no cooperation (i.e., maximizing the available conversion value); U n is the optimal operating benefit of each microgrid during cooperation. The problem of multi-microgrid coordinated operation is decomposed into the sub-problem of maximizing the cooperative operation benefit of each microgrid and the sub-problem of cooperative benefit allocation, which are solved in turn.

[0261] 4.1. Cooperative operation method based on bargaining carbon trading:

[0262] The bargaining carbon trading model among multiple microgrids is as follows:

[0263]

[0264] Where: n is the optimal operation benefit of each microgrid during cooperation; C n is the operating cost of each microgrid during cooperation.

[0265] At the same time, the interactive carbon quotas between microgrids meet the following requirements:

[0266] π ij，t +π ji，t =0 (109)

[0267] In the formula: When π ij，t =-π ji，t When , it indicates that the microgrids have reached a consensus on carbon quota trading, and the rest are similar.

[0268] 4.1.1 Nash bargaining (adjustment) method based on asymmetric Nash negotiation:

[0269] Asymmetric bargaining refers to the different bargaining power of each participant in the bargaining process. A nonlinear function based on natural logarithm is used to quantify the contribution of different microgrids in carbon trading. Then, the contribution of each microgrid in the cooperation is comprehensively considered, and mutual negotiations are carried out based on the comprehensive contribution rate to determine the carbon quota trading price.

[0270] Calculate the total carbon quota provided by each microgrid during the optimization period and carbon allowances received

[0271]

[0272] An exponential function is used to construct a nonlinear energy mapping function, and the bargaining power of each microgrid in carbon quota trading is quantified according to its contribution:

[0273]

[0274] Where: are the maximum values ​​of carbon quota supplied and received by each microgrid respectively.

[0275] The bargaining power obtained from formula (112) can make all entities participating in carbon trading have bargaining value; at the same time, as the contribution of the microgrid participating in the sharing increases, its bargaining value increases accordingly.

[0276] By solving the sub-problem of maximizing the cooperative operation benefit, the optimal expected transaction carbon quota between each microgrid can be determined, based on which a bargaining negotiation model for carbon quota sharing among multiple microgrids on the distribution network side is constructed:

[0277]

[0278] Where: The optimal solution to the sub-problem of maximizing the benefits of cooperative operation; I 12 is the transaction income between microgrid 1 and microgrid 2, and the rest are similar.

[0279] At the same time, the interactive carbon quota prices between microgrids meet the following requirements:

[0280] c ij，t =c ji，t =0 (114)

[0281] In the formula: when c ij，t =c ji,t When , it indicates that the microgrids have reached a consensus on carbon quota trading, and the rest are similar.

[0282] 5. Analysis on the effectiveness of low-carbon collaborative operation strategy of multiple microgrids on the distribution network side based on differentiated and complementary characteristics (the following data are examples and do not limit this application to be implemented only in this case):

[0283] In order to verify the economy and low-carbon nature of the low-carbon collaborative operation strategy of multiple microgrids on the distribution network side based on differentiated and complementary characteristics, this section establishes the following two optimized operation scenarios for comparative analysis:

[0284] Scenario 1: Each microgrid operates independently;

[0285] Scenario 2: Coordinated operation of multiple microgrids based on complementary differentiated characteristics;

[0286] The comparison of the economy and low-carbon performance of the cooperative operation of multiple microgrids on the distribution network side under the two scenarios is shown in Tables 1 and 2.

[0287] Table 1 Comparison of operation economy of scenario 1-2

[0288]

[0289] As shown in Table 1, compared with independent operation, when multiple microgrids conduct bargaining carbon trading, the overall benefit of the alliance increases by 1.04%. After cooperative operation, the income of each microgrid increased by 1854.57, 3509.99 and 1707.52 yuan respectively. Through the tripartite cooperative operation, the interests of each microgrid have been significantly improved.

[0290] Table 2 Comparison of carbon emissions in scenario 1-2

[0291]

[0292] As shown in Table 2, compared with independent operation, when the multi-microgrid system conducts carbon quota trading, the net carbon emissions of the system are reduced by 17.40%. When the microgrids operate cooperatively, the adjustable characteristics of the system are improved. On the basis of taking into account the economy, the low-carbon units replace the high-carbon units, making the overall carbon emissions of the system at a lower level.

[0293] like Figure 4 As shown in the figure, a carbon quota trading price diagram for multiple microgrids under scenario 2 is provided. The carbon quota trading price set by each microgrid is within the price range of purchasing and selling carbon emission rights to the superior carbon market, and the carbon quota trading price between microgrids is generally maintained at a low level.

[0294] Figure 5a and Figure 5b Comparing the low-carbon effects of each scenario, we can see that when each microgrid operates independently, the system carbon emissions are at a high level. When participating in carbon quota sharing, the net carbon emissions of the multi-microgrid system can be maintained at a low level, and the emission reduction of the unit can also be maintained at a high level.

[0295] Compared with the prior art, this application has the following advantages:

[0296] 1. Focus on the differentiated characteristics of each microgrid, build the optimal operation model corresponding to each microgrid, and generate the maximum available conversion and operation constraints of each microgrid by inputting the data of each microgrid into the optimal operation model, laying a data foundation for the subsequent acquisition of the optimal carbon quota interaction between microgrids based on differentiated characteristics.

[0297] 2. Based on targeted and specific constraints, a more scientific and accurate optimal carbon quota interaction volume can be obtained through the pre-built multi-microgrid inter-grid adjustment carbon interaction model, thereby improving the accuracy of the carbon quota information distributed to each microgrid based on the optimal carbon quota interaction volume.

[0298] 3. The carbon quota mutual assistance between microgrids is achieved, the overall low-carbon effect of the system is improved, and the operating economy and low-carbon nature of each microgrid are balanced.

[0299] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0300] Based on the same inventive concept, the embodiment of the present application also provides a carbon quota information distribution device for implementing the carbon quota information distribution method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more carbon quota information distribution device embodiments provided below can refer to the limitations of the carbon quota information distribution method above, and will not be repeated here.

[0301] In an exemplary embodiment, Figure 6 As shown, a carbon quota information distribution device is provided, including: a data acquisition module 601, a generation module 602, an interaction acquisition module 603 and an information distribution module 604, wherein:

[0302] The data acquisition module 601 is used to acquire the load demand data, operation cost and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota provided amount and the carbon quota received amount;

[0303] A generation module 602 is used to input the load demand data, the operation cost and the carbon quota interaction data into the pre-built optimization operation model corresponding to each microgrid, and generate the maximum available conversion value and operation constraint conditions of each microgrid through the optimization operation model;

[0304] The interaction amount acquisition module 603 is used to input the carbon quota supply amount and the carbon quota reception amount into the pre-built multi-microgrid inter-grid adjustment carbon interaction model, and use the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply amount and the carbon quota reception amount to obtain the carbon quota adjustment value of each microgrid. Under the condition of meeting the operation constraint conditions, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, so as to obtain the optimal carbon quota interaction amount between each microgrid;

[0305] The information distribution module 604 is used to distribute corresponding carbon quota information to each microgrid according to the optimal carbon quota interaction amount.

[0306] In one embodiment, the carbon quota information distribution device also includes an interactive conversion value acquisition module, which is used to obtain the interactive conversion value between each microgrid when the maximized available conversion value reaches a maximum value; the maximized available conversion value and the interactive conversion value are input into a pre-constructed carbon quota sharing adjustment negotiation model, and the interactive conversion value is adjusted while satisfying pre-set resource usage constraints until the pre-set objective function reaches a minimum value, and the current interactive conversion value is obtained through the carbon quota sharing adjustment negotiation model.

[0307] In one embodiment, the interactive conversion value acquisition module also includes a price update submodule, which is used to use the current interactive conversion value to compare with the optimal carbon quota interaction amount to obtain the carbon quota price between each microgrid; and use the carbon quota price as the new carbon quota price between each microgrid.

[0308] In an exemplary embodiment, the interaction quantity acquisition module 603 is also used to obtain the maximum carbon quota supply quantity of each microgrid from multiple carbon quota supply quantities and to obtain the maximum carbon quota reception quantity of each microgrid from multiple carbon quota reception quantities through the maximum quantity acquisition module in the multi-microgrid inter-grid adjustment carbon interaction model; the maximum carbon quota supply quantity, the maximum carbon quota reception quantity, the carbon quota supply quantity and the carbon quota reception quantity are input into the adjustment value generation module in the multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota adjustment value of each microgrid is generated through the nonlinear energy mapping function pre-set in the adjustment value generation module.

[0309] In one embodiment, the optimized operation model includes: a science and technology park microgrid optimized operation model;

[0310] The operating costs include: carbon emission costs, thermal power unit operating costs, natural gas unit operating costs, solvent loss costs, carbon storage equipment costs, power transmission costs, wind farm maintenance costs, electric vehicle cluster operating costs, science and technology park and distribution network power interaction costs, and science and technology park power demand response costs; carbon quota interaction data include: the first carbon quota interaction amount and the corresponding first carbon quota interaction price between the science and technology park and the residential area in any period of time, as well as the second carbon quota interaction amount and the corresponding second carbon quota interaction price between the science and technology park and the industrial area; load demand data include: the maximum charging power, maximum discharge power, and load demand of the electric vehicle cluster in the period of time. Electric power, maximum power, minimum power and power change, the power of the electric vehicle cluster at any time; the maximum and minimum power purchase and sale of the science and technology park to the distribution network, and the corresponding external power purchase and sale state variables of the science and technology park; the maximum and minimum carbon quota purchase and sale of the science and technology park to the superior carbon market, and the corresponding external carbon quota purchase and sale state variables of the science and technology park; the power load, original load, transfer load and reduction load of the science and technology park after responding to user demand in the time period; the initial carbon quota and actual carbon emissions of the science and technology park; the maximum carbon quota interaction, interactive carbon quota and total interaction cost of each microgrid;

[0311] The generation module 602 is also used to input the maximum charging power, the maximum discharging power, the maximum amount of electricity, the minimum amount of electricity, the amount of electricity change and the amount of electricity into the electric vehicle cluster charging and discharging constraint construction module in the science and technology park microgrid optimization operation model, obtain the electric vehicle cluster charging and discharging constraint through the electric vehicle cluster charging and discharging constraint construction module, input the maximum value of electricity purchase and sale, the minimum value of electricity purchase and sale and the external electricity purchase and sale state variables into the power purchase and sale to distribution network power constraint construction module in the science and technology park microgrid optimization operation model, obtain the power purchase and sale to distribution network power constraint through the power purchase and sale to distribution network power constraint construction module, and input the maximum value of carbon purchase and sale quota, the minimum value of carbon purchase and sale quota and the external carbon purchase and sale state variables into the power purchase and sale to distribution network power constraint construction module in the science and technology park microgrid optimization operation model. The state variables are input into the construction module of the purchase and sale of carbon quota constraints to the superior carbon market in the optimization operation model of the microgrid in the science and technology park. The purchase and sale of carbon quota constraints to the superior carbon market are obtained through the construction module of the purchase and sale of carbon quota constraints to the superior carbon market. The electric load power, original electric load, transferred electric load, and reduced electric load after the user demand response are input into the electric power balance constraint construction module in the optimization operation model of the microgrid in the science and technology park. The electric power balance constraint is obtained through the electric power balance constraint construction module. The initial carbon quota and the actual carbon emissions are input into the carbon quota balance constraint construction module in the optimization operation model of the microgrid in the science and technology park. The carbon quota balance constraint is obtained through the carbon quota balance constraint construction module.

[0312] The carbon emission cost, the operating cost of thermal power units, the operating cost of natural gas units, the solvent loss cost, the carbon storage equipment cost, the power transmission cost, the wind farm maintenance cost, the electric vehicle cluster operating cost, the power interaction cost between the science and technology park and the distribution network, and the power demand response cost of the science and technology park are input into the operating cost acquisition module in the science and technology park microgrid optimization operation model, and the science and technology park operating cost is obtained through the operating cost acquisition module; the first carbon quota interaction amount, the first carbon quota interaction price, the second carbon quota interaction amount and the second carbon quota interaction price are input into the interactive conversion value acquisition module in the science and technology park microgrid optimization operation model, and the first interactive conversion value and the second interactive conversion value are respectively obtained through the interactive conversion value acquisition module; the science and technology park operating cost, the first interactive conversion value and the second interactive conversion value are input into the available conversion value acquisition module in the science and technology park microgrid optimization operation model, and the maximum available conversion value of the science and technology park is obtained from the available conversion value acquisition module while the above-mentioned constraints are met.

[0313] In one embodiment, the optimization operation model also includes: a residential microgrid optimization operation model; the operation cost includes: the interaction cost between the residential area and the upper carbon market, the operation cost of the natural gas source cogeneration group, the power transmission cost, the photovoltaic solar panel maintenance cost, and the power demand response cost; the carbon quota interaction data includes: the third carbon quota interaction amount and the corresponding third carbon quota interaction price of the residential area and the science and technology park in any period, and the fourth carbon quota interaction amount and the corresponding fourth carbon quota interaction price of the residential area and the industrial area; the load demand data includes: the output power of the CHP unit in the period, the heat power of the gas boiler, the heat load power after the user demand response, the original heat load power, the transfer heat load, the reduction heat load, the heat storage power and the heat release power; the initial carbon quota of the residential area and the actual carbon emissions of the residential area;

[0314] The generation module 602 is also used to input the output electric power, the heat power generated by the gas boiler, the heat load power after the user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power into the electric and heat balance constraint construction module of the residential microgrid optimization operation model, and obtain the electric and heat balance constraints through the electric and heat balance constraint construction module.

[0315] Input the initial carbon quota of the residential area and the actual carbon emissions of the residential area into the carbon quota balance constraint construction module of the residential area microgrid optimization operation model, and obtain the carbon quota balance constraint through the carbon quota balance constraint construction module;

[0316] The interaction cost between the residential area and the upper-level carbon market, the operation cost of the natural gas cogeneration group, the electricity transmission cost, the maintenance cost of the photovoltaic solar panel, and the electricity demand response cost are input into the operation cost acquisition module in the residential microgrid optimization operation model, and the residential area operation cost is obtained through the operation cost acquisition module; the third carbon quota interaction amount, the third carbon quota interaction price, the fourth carbon quota interaction amount and the fourth carbon quota interaction price are input into the interactive conversion value acquisition module in the residential microgrid optimization operation model, and the third interactive conversion value and the fourth interactive conversion value are respectively obtained through the interactive conversion value acquisition module; the residential area operation cost, the third interactive conversion value and the fourth interactive conversion value are input into the available conversion value acquisition module in the residential microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

[0317] In an exemplary embodiment, the operation optimization model also includes: an industrial zone microgrid optimization operation model; the operation cost includes: the interaction cost between the industrial zone and the upper carbon market, the operation cost of the thermal power unit, the operation cost of the gas unit, the power transmission cost, the power interaction cost and the load demand response cost; the carbon quota interaction data includes: the fifth carbon quota interaction amount and the corresponding fifth carbon quota interaction price of the industrial zone and the science and technology park in any period, and the sixth carbon quota interaction amount and the corresponding sixth carbon quota interaction price of the industrial zone and the residential area; the load demand data includes: the energy storage discharge power and the energy storage charging power of the industrial zone in the period;

[0318] The generation module 602 is also used to input the industrial zone energy storage discharge power and the industrial zone energy storage charging power into the power balance constraint construction module of the industrial zone microgrid optimization operation model, and obtain the power balance constraint through the power balance constraint construction module;

[0319] The interaction cost between the industrial zone and the upper-level carbon market, the operating cost of thermal power units, the operating cost of gas units, the electricity transmission cost, the electricity interaction cost and the load demand response cost are input into the operating cost acquisition module in the industrial zone microgrid optimization operation model, and the industrial zone operating cost is obtained through the operating cost acquisition module; the fifth carbon quota interaction amount, the fifth carbon quota interaction price, the sixth carbon quota interaction amount and the sixth carbon quota interaction price are input into the interactive conversion value acquisition module in the industrial zone microgrid optimization operation model, and the fifth interactive conversion value and the sixth interactive conversion value are respectively obtained through the interactive conversion value acquisition module; the industrial zone operating cost, the fifth interactive conversion value and the sixth interactive conversion value are input into the available conversion value acquisition module in the industrial zone microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module while meeting the above-mentioned constraints.

[0320] Each module in the above-mentioned carbon quota information distribution device can be implemented in whole or in part by software, hardware and their combination. Each of the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of each of the above modules.

[0321] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store the load demand data, operating cost, carbon quota interaction data, maximized available conversion value, operating constraints, and optimal carbon quota interaction data of each microgrid. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a carbon quota information distribution method is implemented.

[0322] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0323] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the carbon quota information distribution method of the above embodiment is implemented.

[0324] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the carbon quota information distribution method of the above embodiment is implemented.

[0325] In one embodiment, a computer program product is provided, including a computer program, which implements the carbon quota information distribution method of the above embodiment when executed by a processor.

[0326] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0327] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0328] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0329] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for distributing carbon quota information, characterized in that: The method comprises: Obtaining load demand data, operating costs, and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota provided amount and the carbon quota received amount; Input the load demand data, operating cost and carbon quota interaction data into the pre-built optimization operation model corresponding to each of the microgrids, and generate the maximum available conversion value and operation constraint conditions of each of the microgrids through the optimization operation model; The carbon quota supply amount and the carbon quota reception amount are input into a pre-constructed multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota supply amount and the carbon quota reception amount are adjusted by using the Nash adjustment method of asymmetric Nash negotiation to obtain the carbon quota adjustment value of each microgrid. When the operation constraint condition is met, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches the maximum value, and the optimal carbon quota interaction amount between each microgrid is obtained; According to the optimal carbon quota interaction amount, corresponding carbon quota information is distributed to each of the microgrids.

2. The method according to claim 1, characterized in that: The method further comprises: When the maximized available conversion value reaches a maximum value, obtaining the interactive conversion value between the microgrids; The maximized available conversion value and the interactive conversion value are input into a pre-constructed carbon quota sharing adjustment negotiation model. Under the condition of satisfying pre-set resource usage constraints, the interactive conversion value is adjusted until the pre-set objective function reaches a minimum value, and the current interactive conversion value is obtained through the carbon quota sharing adjustment negotiation model.

3. The method according to claim 2, characterized in that After obtaining the current interactive conversion value through the carbon quota sharing adjustment negotiation model, it includes: The carbon quota price between the microgrids is obtained by dividing the current interactive conversion value by the optimal carbon quota interaction amount; The carbon quota price is used as a new carbon quota price between the microgrids.

4. The method according to claim 1, characterized in that The Nash adjustment method using asymmetric Nash negotiation performs carbon quota adjustment on the carbon quota provided amount and the carbon quota received amount to obtain the carbon quota adjustment value of each microgrid, including: The maximum amount acquisition module in the multi-microgrid inter-grid adjustment carbon interaction model is used to acquire the maximum carbon quota supply amount of each microgrid from the multiple carbon quota supply amounts, and the maximum carbon quota reception amount of each microgrid is acquired from the multiple carbon quota reception amounts; The maximum carbon quota supply amount, the maximum carbon quota reception amount, the carbon quota supply amount and the carbon quota reception amount are input into the adjustment value generation module in the multi-microgrid inter-grid adjustment carbon interaction model, and the carbon quota adjustment value of each microgrid is generated through the nonlinear energy mapping function pre-set in the adjustment value generation module.

5. The method according to claim 1, characterized in that: The optimization operation model includes: a science and technology park microgrid optimization operation model; The operating costs include: carbon emission costs, thermal power unit operating costs, natural gas unit operating costs, solvent loss costs, carbon storage equipment costs, power transmission costs, wind farm maintenance costs, electric vehicle cluster operating costs, science and technology park and distribution network power interaction costs, and science and technology park power demand response costs; The carbon quota interaction data includes: the first carbon quota interaction amount and the corresponding first carbon quota interaction price of the science and technology park and the residential area in any period, and the second carbon quota interaction amount and the corresponding second carbon quota interaction price of the science and technology park and the industrial area; The load demand data include: the maximum charging power, maximum discharging power, maximum power, minimum power and power change of the electric vehicle cluster in the time period, the power of the electric vehicle cluster at any time; the maximum value and minimum value of the power purchase and sale of the science and technology park to the distribution network, and the external power purchase and sale state variables corresponding to the science and technology park; the maximum value and minimum value of the carbon quota purchase and sale of the science and technology park to the superior carbon market, and the external carbon quota purchase and sale state variables corresponding to the science and technology park; the power load, original load, transfer load and reduction load of the science and technology park after user demand response in the time period; the initial carbon quota and actual carbon emissions of the science and technology park; the maximum value of carbon quota interaction, interactive carbon quota amount and total interaction cost of each microgrid; The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each of the microgrids, and the maximum available conversion value and operation constraint conditions of each of the microgrids are generated by the optimization operation model, including: The maximum charging power, maximum discharging power, maximum power, minimum power, power change and power are input into the electric vehicle cluster charging and discharging constraint construction module in the science and technology park microgrid optimization operation model, and the electric vehicle cluster charging and discharging constraint is obtained through the electric vehicle cluster charging and discharging constraint construction module. The maximum value of power purchase and sale, the minimum value of power purchase and sale, and the external power purchase and sale state variables are input into the power purchase and sale power constraint construction module for the distribution network in the optimization operation model of the science and technology park microgrid, and the power purchase and sale power constraint for the distribution network is obtained through the power purchase and sale power constraint construction module for the distribution network. The maximum value of the purchase and sale carbon quota, the minimum value of the purchase and sale carbon quota and the external purchase and sale carbon quota state variable are input into the construction module of the purchase and sale carbon quota constraint to the superior carbon market in the optimization operation model of the science and technology park microgrid, and the purchase and sale carbon quota constraint to the superior carbon market is obtained through the construction module of the purchase and sale carbon quota constraint to the superior carbon market. The electric load power after the user demand response, the original electric load, the transferred electric load, and the reduced electric load are input into the electric power balance constraint construction module in the science and technology park microgrid optimization operation model, and the electric power balance constraint is obtained through the electric power balance constraint construction module. Inputting the initial carbon quota and the actual carbon emissions into the carbon quota balance constraint construction module in the science and technology park microgrid optimization operation model, and obtaining the carbon quota balance constraint through the carbon quota balance constraint construction module; Input the carbon emission cost, the operating cost of thermal power units, the operating cost of natural gas units, the solvent loss cost, the carbon storage equipment cost, the power transmission cost, the wind farm maintenance cost, the electric vehicle cluster operating cost, the power interaction cost between the science and technology park and the distribution network, and the power demand response cost of the science and technology park into the operating cost acquisition module in the microgrid optimization operation model of the science and technology park, and obtain the operating cost of the science and technology park through the operating cost acquisition module; Input the first carbon quota interaction amount, the first carbon quota interaction price, the second carbon quota interaction amount and the second carbon quota interaction price into the interaction conversion value acquisition module in the science and technology park microgrid optimization operation model, and obtain the first interaction conversion value and the second interaction conversion value respectively through the interaction conversion value acquisition module; The science and technology park operating cost, the first interactive conversion value and the second interactive conversion value are input into the available conversion value acquisition module in the science and technology park microgrid optimization operation model, and the maximum available conversion value of the science and technology park is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

6. The method according to claim 1, characterized in that The optimization operation model also includes: a residential microgrid optimization operation model; The operating costs include: interaction costs between the residential area and the upper carbon market, operation costs of the natural gas source cogeneration unit, electricity transmission costs, photovoltaic solar panel maintenance costs, and electricity demand response costs; The carbon quota interaction data includes: the third carbon quota interaction amount and the corresponding third carbon quota interaction price of the residential area and the science and technology park in any period, and the fourth carbon quota interaction amount and the corresponding fourth carbon quota interaction price of the residential area and the industrial area; The load demand data include: the output power of the CHP unit during the period, the heat power of the gas boiler, the heat load power after the user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power; the initial carbon quota of the residential area and the actual carbon emissions of the residential area; The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each of the microgrids, and the maximum available conversion value and operation constraint conditions of each of the microgrids are generated by the optimization operation model, including: The output electric power, the heat power generated by the gas boiler, the heat load power after the user demand response, the original heat load power, the transferred heat load, the reduced heat load, the heat storage power and the heat release power are input into the electric and heat balance constraint construction module of the residential microgrid optimization operation model, and the electric and heat balance constraints are obtained through the electric and heat balance constraint construction module. Inputting the initial carbon quota of the residential area and the actual carbon emissions of the residential area into the carbon quota balance constraint construction module of the residential area microgrid optimization operation model, and obtaining the carbon quota balance constraint through the carbon quota balance constraint construction module; Input the interaction cost between the residential area and the upper carbon market, the operation cost of the natural gas source cogeneration group, the power transmission cost, the photovoltaic solar panel maintenance cost, and the power demand response cost into the operation cost acquisition module in the residential area microgrid optimization operation model, and obtain the residential area operation cost through the operation cost acquisition module; Input the third carbon quota interaction amount, the third carbon quota interaction price, the fourth carbon quota interaction amount and the fourth carbon quota interaction price into the interaction conversion value acquisition module in the residential microgrid optimization operation model, and obtain the third interaction conversion value and the fourth interaction conversion value respectively through the interaction conversion value acquisition module; The residential area operating cost, the third interactive conversion value and the fourth interactive conversion value are input into the available conversion value acquisition module in the residential area microgrid optimization operation model, and the maximum available conversion value of the residential area is obtained from the available conversion value acquisition module under the condition of satisfying the above-mentioned constraints.

7. The method according to claim 1, characterized in that The operation optimization model also includes: an industrial zone microgrid optimization operation model; The operating costs include: the interaction costs between the industrial zone and the upper carbon market, the operation costs of thermal power units and gas units, the power transmission costs, the power interaction costs and the load demand response costs; The carbon quota interaction data includes: the fifth carbon quota interaction amount and the corresponding fifth carbon quota interaction price of the industrial zone and the science and technology park in any period, and the sixth carbon quota interaction amount and the corresponding sixth carbon quota interaction price of the industrial zone and the residential area; The load demand data includes: the industrial area energy storage discharge power and the industrial area energy storage charging power during the period; The load demand data, operating cost and carbon quota interaction data are input into the pre-built optimization operation model corresponding to each of the microgrids, and the maximum available conversion value and operation constraint conditions of each of the microgrids are generated by the optimization operation model, including: Input the industrial zone energy storage discharge power and the industrial zone energy storage charging power into the power balance constraint construction module of the industrial zone microgrid optimization operation model, and obtain the power balance constraint through the power balance constraint construction module; Input the interaction cost between the industrial zone and the upper carbon market, the operation cost of thermal power units and gas units, the power transmission cost, the power interaction cost and the load demand response cost into the operation cost acquisition module in the industrial zone microgrid optimization operation model, and obtain the operation cost of the industrial zone through the operation cost acquisition module; Input the fifth carbon quota interaction amount, the fifth carbon quota interaction price, the sixth carbon quota interaction amount and the sixth carbon quota interaction price into the interaction conversion value acquisition module in the industrial zone microgrid optimization operation model, and obtain the fifth interaction conversion value and the sixth interaction conversion value respectively through the interaction conversion value acquisition module; The industrial zone operating cost, the fifth interactive conversion value and the sixth interactive conversion value are input into the available conversion value acquisition module in the industrial zone microgrid optimization operation model, and the maximized available conversion value of the residential area is obtained from the available conversion value acquisition module while satisfying the above-mentioned constraints.

8. A carbon quota information distribution device, characterized in that: The device comprises: A data acquisition module, used to acquire the load demand data, operating cost and carbon quota interaction data of each microgrid; the carbon quota interaction data includes the carbon quota provided amount and the carbon quota received amount; A generation module, used to input the load demand data, operating cost and carbon quota interaction data into a pre-built optimization operation model corresponding to each of the microgrids, and generate a maximum available conversion value and operation constraint condition of each of the microgrids through the optimization operation model; An interaction amount acquisition module is used to input the carbon quota supply amount and the carbon quota reception amount into a pre-built multi-microgrid inter-grid adjustment carbon interaction model, and use the Nash adjustment method of asymmetric Nash negotiation to adjust the carbon quota supply amount and the carbon quota reception amount to obtain the carbon quota adjustment value of each microgrid, and when the operation constraint condition is met, the carbon quota adjustment value is adjusted accordingly until the maximum available conversion value reaches a maximum value, so as to obtain the optimal carbon quota interaction amount between each microgrid; An information distribution module is used to distribute corresponding carbon quota information to each of the microgrids according to the optimal carbon quota interaction amount.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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