Method and device for optimizing low-carbon economic operation strategy of comprehensive energy system

Abstract

The invention relates to a comprehensive energy system low-carbon economic operation strategy optimization method and device, and the method comprises the steps: calculating the real-time productivity unit price of each productivity device in a system; determining the total average productivity unit price and the energy storage variation of the energy storage equipment through a logic cycle mode based on historical data, and determining the actual output quantity of the productivity equipment based on the energy storage variation and the real-time productivity unit price of each productivity equipment in the system; and constructing an economic operation strategy model by taking the actual output quantity of the productivity equipment as a constraint and taking the minimum total daily operation and maintenance cost of the system as a target, and solving the economic operation strategy model to obtain an operation decision. According to the invention, various regulation and control requirements under different time scales can be met.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system operation control, and in particular to a method and device for optimizing a low-carbon economic operation strategy of an integrated energy system. Background Art

[0002] As the world's energy shortage gradually intensifies and the global energy system is reformed, the integrated energy system has become an important energy infrastructure. However, due to the diversity of energy supply and consumption, as well as the complex coupling relationship between energy sources, the management and operation of the integrated energy system face severe challenges.

[0003] According to the complementary characteristics of various energy types such as electricity, heat, cold, and gas, as well as the principle of energy cascade utilization, unified planning and coordinated optimization of multi-energy complementary systems is an important way to improve the energy utilization rate of the system. However, traditional operation and scheduling optimization methods are based on historical data, and design system operation management planning schemes for historical loads from a macro perspective. They can calculate the optimal operation strategy that meets the goals in this scenario and provide planning references for similar scenarios in the future. However, they cannot calculate the optimal operation management scheme that responds to current load fluctuations and meets economic or low-carbon goals based on real-time data changes such as real-time load and system operation status and economic environment parameters inside and outside the system, and it is difficult to meet various control needs under different time scales. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method and device for optimizing the low-carbon economic operation strategy of an integrated energy system to meet various control needs under different time scales.

[0005] The technical solution adopted by the present invention to solve the technical problem is: to provide a method for optimizing the low-carbon economic operation strategy of an integrated energy system, comprising the following steps:

[0006] Calculate the real-time unit price of each production capacity equipment in the system;

[0007] Determine the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, and determine the actual output of the production capacity device based on the energy storage change and the real-time production capacity unit price of each production capacity device in the system;

[0008] Taking the actual output of the production capacity equipment as a constraint and minimizing the total daily operation and maintenance cost of the system as a goal, an economic operation strategy model is constructed, and the economic operation strategy model is solved to obtain an operation decision.

[0009] The real-time unit price of each capacity equipment is Calculated, among which, is the unit price of the unit energy e produced by the production equipment, is the performance parameter of the production equipment, Price e is the unit price of the system's outsourced energy e, MC Eq It is the operation and maintenance cost of production capacity equipment.

[0010] The total average production capacity unit price and energy storage change of the energy storage equipment are determined by logical loop based on historical data, specifically:

[0011] The total average production capacity unit price of the energy storage equipment at the current moment is calculated based on historical data, and a logical loop judgment is entered according to the set energy storage change step, number of cycle adjustments, upper and lower limits of reserves, and the total average production capacity unit price and energy storage change of the energy storage equipment are obtained after the cycle ends.

[0012] The total average capacity unit price of the energy storage equipment is Calculated, among which, is the total average production capacity unit price of energy storage equipment at the current moment, is the average production capacity unit price of energy storage equipment k′ before it participates in energy supply, with an initial value of 0; P e,sup The output that needs to be supplemented by the equipment; P e,sum is the total output of the fully loaded equipment, with an initial value of 0; P e,k is the actual output of the kth production equipment after the production equipment is sorted by unit price; x e,k is the unit price of the kth capacity equipment after the capacity equipment is sorted by unit price; η e,k is the performance coefficient of the kth capacity equipment after the capacity equipment is sorted by unit price, and i is the total number of heavy capacity equipment in the system.

[0013] The logic loop judgment is specifically as follows:

[0014] Determine whether the total average production capacity unit price of the energy storage equipment at the current moment is higher than the total average production capacity unit price of the energy storage equipment at the previous moment;

[0015] If yes, the energy storage change at the current moment is reduced by one energy storage change step; if no, the energy storage change at the current moment is increased by one energy storage change step;

[0016] If the energy storage change at the current moment does not meet the energy storage lower limit, the energy storage change is the energy storage lower limit minus the current storage;

[0017] If the energy storage change at the current moment does not meet the energy storage upper limit, the energy storage change is the current storage minus the energy storage upper limit;

[0018] Determine whether the energy storage change at the current moment meets the energy demand;

[0019] If it is satisfied, the total average capacity price of the energy storage equipment is set to the capacity price of the energy storage equipment with the lowest capacity price at present, and the energy storage change is

[0020] If it is not satisfied, the output quantity required by the equipment is And in the next cycle, it is used as an input parameter for calculating the total average capacity unit price of the energy storage equipment;

[0021] Among them, Load e is the energy demand for the current period, is the energy release efficiency of the energy storage device, Q e,t is the energy storage change at the current moment.

[0022] The actual output of the production capacity equipment is determined based on the energy storage change and the real-time production capacity unit price of each production capacity equipment in the system, specifically:

[0023] Sort the real-time capacity unit price of each capacity equipment in the system in ascending order of unit price;

[0024] Determine whether each capacity device, sorted in ascending order of unit price, is fully loaded;

[0025] If the output is at full load, the actual output of each production capacity equipment is the full load output;

[0026] If the output is not at full load, the actual output of each capacity equipment is determined based on the change in energy storage and the total demand.

[0027] The objective function of the economic operation strategy model is: Among them, OPEX IES is the total daily operation and maintenance cost of the system, EC k,e The purchase cost of the equipment that consumes energy is expressed as: E k,e,t is the amount of energy consumed during the preset period, Price e,t is the energy price within the preset period; MC k,e is the maintenance cost, expressed as: Cost is the output of energy equipment within a preset period of time. main,k The operation and maintenance cost per unit output.

[0028] The technical solution adopted by the present invention to solve the technical problem is: to provide a low-carbon economic operation strategy optimization device for an integrated energy system, comprising:

[0029] The calculation module is used to calculate the real-time capacity unit price of each capacity equipment in the system;

[0030] A determination module, used to determine the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, and determine the actual output of the production capacity device based on the energy storage change and the real-time production capacity unit price of each production capacity device in the system;

[0031] The optimization module is used to construct an economic operation strategy model with the actual output of the production capacity equipment as a constraint and the lowest total daily operation and maintenance cost of the system as the goal, and solve the economic operation strategy model to obtain an operation decision.

[0032] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the above-mentioned method for optimizing the low-carbon economic operation strategy of the integrated energy system when executing the computer program.

[0033] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned method for optimizing the low-carbon economic operation strategy of the integrated energy system are implemented.

[0034] Beneficial Effects

[0035] Due to the adoption of the above technical scheme, the present invention has the following advantages and positive effects compared with the prior art: in terms of parameter calculation method, the present invention analyzes the evolution and transmission process of various energy sources in the integrated energy system by considering the influence of various internal and external system environments and economic parameters, and performs capacity consumption and impact measurement, quantifies and calculates the consumption and impact of each technical equipment per unit of energy, and provides a theoretical reference for operation decision-making; in terms of operation logic judgment, based on various economic environment parameters and equipment technical parameters and system equipment operation status and other data, the operation logic judgment of each technical equipment in the system is performed to achieve the optimal economic or environmental benefits of the system while meeting the real-time energy demand; in terms of energy supply system program planning, the design of the electric, heat and cold energy supply system of traditional integrated energy services is integrated with low-carbon technologies such as renewable energy zero-carbon technology and cogeneration of heat and power, and the operation design scheme is optimized and calculated using mathematical programming methods, thereby providing a system operation optimization design scheme that matches the real-time load of the integrated energy system. The present invention performs an operation scheduling optimization method for the park integrated energy system with multi-energy complementarity, which can achieve the relatively optimal operation of the system based on historical data and economic environment parameters, under the condition of real-time dynamic changes in load. It provides a reference for the management and operation of integrated energy systems, real-time response to load demand changes and timely regulation, and formulation of real-time optimal operation decisions, and has good technical feasibility and comprehensive benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a structural diagram of an integrated energy system in a first embodiment of the present invention;

[0037] Figure 2 is a flow chart of a method for optimizing a low-carbon economic operation strategy of an integrated energy system according to a first embodiment of the present invention;

[0038] Figure 3 It is a diagram of the optimization results of the operation of the embodiment of the present invention. DETAILED DESCRIPTION

[0039] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0040] The first embodiment of the present invention relates to a method for optimizing the low-carbon economic operation strategy of an integrated energy system, which can be applied to Figure 1 The integrated energy system shown in Figure 1. In this integrated energy system, solar energy, wind energy and combined heat and power generators are the main power sources, and the mains electricity is the auxiliary power source. When the amount of electricity generated by renewable energy is too large, the surplus electricity can be incorporated into the grid or converted into other forms of energy using technical equipment such as compression heat pumps or electric boilers, thereby reducing the uncertainty risks brought by renewable energy and providing a reliable energy storage option for the energy system. When renewable energy is in short supply, the combined heat and power system uses gas to generate electricity, and the electricity stored in the battery is released to meet the electricity demand. The combined heat and power unit and boiler are the main heat sources, and the district central heating system is the auxiliary heat source. When the system has excess waste heat, the redundant heat can be incorporated into the district heating system or converted into other forms of energy using technical equipment such as absorption heat pumps. The cooling demand is met by heat pumps and electric refrigeration equipment, and is equipped with a water energy storage system. This system can promote the consumption of renewable energy and reduce greenhouse gas emissions through energy coupling technology.

[0041] The low-carbon economic operation strategy optimization method of this implementation method is as follows: Figure 2 As shown, the following steps are included:

[0042] Step 1: Calculate the real-time unit price of each capacity device in the system. In this step, the following formula is used to calculate the real-time unit price of each capacity device:

[0043]

[0044] In the formula, is the unit price of the unit energy e produced by the production equipment, is the performance parameter of the production equipment, Pricee is the unit price of the system's outsourced energy e, MC Eq It is the operation and maintenance cost of production capacity equipment.

[0045] This step provides a theoretical reference for operational decisions by considering the influence of various internal and external system environments and economic parameters and by quantifying the energy consumption and impact of each technical equipment unit.

[0046] Step 2: determine the total average production capacity unit price and energy storage change of the energy storage equipment through a logical loop based on historical data, and determine the actual output of the production capacity equipment based on the energy storage change and the real-time production capacity unit price of each production capacity equipment in the system.

[0047] This step makes further logical judgments on the energy storage equipment and the production capacity equipment respectively.

[0048] For energy storage equipment, since energy storage equipment only realizes the transfer of energy over a time span through various technologies, the real-time operation strategy of the energy storage equipment is related to the energy storage status at the previous moment. Therefore, it is necessary to calculate the total average production capacity unit price of the energy storage equipment at the current moment based on historical data. The calculation method is as follows:

[0049]

[0050] P e,sum =P e,sum +P e,k ,k<i

[0051] in, is the total average production capacity unit price of energy storage equipment at the current moment, is the average production capacity unit price of energy storage equipment k′ before it participates in energy supply, with an initial value of 0; P e,sup The output that needs to be supplemented by the equipment; P e,sum is the total output of the fully loaded equipment, with an initial value of 0; P e,k is the actual output of the kth production equipment after the production equipment is sorted by unit price; x e,k is the unit price of the kth capacity equipment after the capacity equipment is sorted by unit price; η e,k is the performance coefficient of the kth capacity equipment after the capacity equipment is sorted by unit price, and i is the total number of heavy capacity equipment in the system.

[0052] According to the set energy storage change step, cycle adjustment times, storage upper limit and storage lower limit, a logic cycle judgment is entered, and after the cycle ends, the total average production capacity unit price and energy storage change of the energy storage equipment are obtained.

[0053] In this step, the step length of energy storage change is set to h, the number of cycle adjustments is set to n, and the energy storage equipment operation strategy is determined according to the following equation:

[0054]

[0055] Q e,t =Q e,n-1 -h

[0056] Q e,t =Q e,n-1 +h

[0057] If the total average production capacity unit price of energy storage equipment at the current moment Higher than the total average production capacity unit price of energy storage equipment at the previous moment Then energy should be released, and the energy storage change at the current moment is Q e,t Reduce the energy storage change step h; otherwise, recharge should be performed, and the energy storage change at the current moment is Q e,t Add an energy storage change step h.

[0058] After the energy storage change amount changes, it is determined whether the current energy storage change amount meets the upper and lower limit constraints of the storage amount, as shown in the following equation:

[0059] Q e,s +Q e,t >Q e,min

[0060] Q e,s +Q e,t <Q e,max

[0061] If the current energy storage change does not meet the storage lower limit Q e,min , then the current energy storage change Q e,t The strain is the current reserve Q e,s Subtract the lower limit of energy storage Q e,min ,Right now:

[0062] Q e,t =Q e,s -Q e,min

[0063] If the current energy storage change does not meet the storage upper limit Q e,max , then the current energy storage change Q e,t The strain is the current reserve Q e,s Subtract the energy storage limit Q e,max ,Right now:

[0064] Q e,t =Q e,max -Q e,s

[0065] Then determine whether the energy storage change can meet the energy demand. If it can, the total average capacity price is the capacity price of the equipment with the lowest current capacity price. The energy storage change is calculated by the following equation:

[0066]

[0067] Among them, Load e is the energy demand for the current period, It is the energy release efficiency of the energy storage device.

[0068] If it cannot be met, the output P required to be supplemented by the equipment is calculated by the following equation: e,sup :

[0069]

[0070] After that, the calculation result is used as the input parameter for the next cycle, and the final total average capacity unit price is output after the cycle is completed. and energy storage change Q e,t .

[0071] For the capacity equipment, this step sorts the real-time capacity unit price of each capacity equipment in the system in ascending order of unit price, and then determines whether each capacity equipment sorted in ascending order of unit price is fully loaded; if fully loaded, the actual output of each capacity equipment is fully loaded; if not fully loaded, the actual output of each capacity equipment is fully loaded according to the energy storage change Q. e,t The actual output of each production equipment is determined by the total demand Load. The calculation is based on P1+P2+…+P i +Q e,t = Load, where P i is the output of the i-th production capacity equipment after sorting.

[0072] This implementation method makes operation logic judgments on various technical equipment in the system based on various economic and environmental parameters, equipment technical parameters, and system equipment operating status data, so as to meet real-time energy needs while ensuring the optimal economic or environmental benefits of the system.

[0073] Step 3: Taking the actual output of the production capacity equipment as a constraint and minimizing the total daily operation and maintenance cost of the system as the goal, an economic operation strategy model is constructed, and the economic operation strategy model is solved to obtain an operation decision.

[0074] In this step, the actual output of the capacity equipment in step 2 is used as a constraint, and the minimum total daily operation and maintenance cost of the system is taken as the goal. The objective function of the economic operation strategy model is expressed as follows:

[0075]

[0076] Among them, OPEX IES is the total daily operation and maintenance cost of the system, EC k,e is the purchase cost of energy-consuming equipment, MC k,e For maintenance costs.

[0077] The acquisition cost of energy-consuming equipment EC k,e It can be expressed as:

[0078]

[0079] In the formula, E k,e,t is the amount of energy consumed during the preset period, Price e,t is the energy price for a preset period of time.

[0080] Maintenance Cost MC k,e It can be expressed as:

[0081]

[0082] In the formula, Cost is the output of energy equipment within a preset period of time. main,k The operation and maintenance cost per unit output.

[0083] The energy conversion model of the energy supply side equipment can be defined as the following formula:

[0084]

[0085] in, The energy conversion efficiency of the input energy ie into the output energy oe, PO k,oe,t and PI k,ie,t They are the output and input of the device respectively.

[0086] The energy storage model of each device can be expressed by the following formula:

[0087]

[0088] Among them, PS k,e,t is the storage capacity of the energy storage device, and Respectively represent the charging efficiency and the discharging efficiency, PL k,e,t is the energy storage loss, ρ k,e is the energy storage loss coefficient.

[0089] The constraints of the model can be expressed as follows:

[0090]

[0091] Among them, CAP K The installed capacity of the equipment, is a binary variable representing the equipment status, and γ is the minimum load factor of the equipment.

[0092] By solving the above economic operation strategy model, an operation decision can be obtained, which is the real-time optimal operation strategy of the system that can meet the real-time load.

[0093] This implementation method integrates the design of the electricity, heat and cooling energy supply system of traditional integrated energy services with low-carbon technologies such as renewable energy zero-carbon technology and cogeneration of heat and power, and uses mathematical programming methods to optimize the operation design scheme, thereby providing a system operation optimization design scheme that matches the real-time load of the integrated energy system.

[0094] Taking an industrial park in Fujian Province as an example, the method proposed in this embodiment is used to optimize the operation and scheduling of the park comprehensive energy system with multi-energy complementarity. The main technical parameters of the park comprehensive energy system in this embodiment are shown in Table 1, and the main economic parameters are shown in Table 2.

[0095] Table 1 Main technical parameters

[0096]

[0097] Table 2 Economic parameters of main technologies

[0098]

[0099] The operation strategy of the system during a typical period after optimization by the method proposed in this embodiment is as follows: Figure 3 As shown in the figure, (a) corresponds to the system operation plan for the typical period after the system is optimized with the annual total operation and maintenance cost as the target, and (b) corresponds to the system operation plan after the system is optimized with the current moment operation and maintenance cost as the target. It can be seen that the optimized operation plans under the two targets are basically the same, and only the energy storage operation decisions in terms of electricity are different. The battery energy storage system in the scheme (a) tends to release electricity to meet the electricity demand at the peak electricity price, while the battery energy storage system in the scheme (b) chooses to store electricity with a lower total unit price of electricity produced at this time than at the previous moment.

[0100] It is not difficult to find that the method proposed in this implementation can achieve relatively optimal operation of the system under the condition of real-time dynamic changes in load based on historical data and economic environment and other parameters. It provides a reference for the management and operation of the integrated energy system, real-time response to changes in load demand and timely regulation, and formulation of real-time optimal operation decisions, and has good technical feasibility and comprehensive benefits.

[0101] The second embodiment of the present invention relates to a low-carbon economic operation strategy optimization device for an integrated energy system, comprising:

[0102] The calculation module is used to calculate the real-time capacity unit price of each capacity equipment in the system;

[0103] A determination module, used to determine the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, and determine the actual output of the production capacity device based on the energy storage change and the real-time production capacity unit price of each production capacity device in the system;

[0104] The optimization module is used to construct an economic operation strategy model with the actual output of the production capacity equipment as a constraint and the lowest total daily operation and maintenance cost of the system as the goal, and solve the economic operation strategy model to obtain an operation decision.

[0105] The calculation module is Calculate the real-time unit price of each production capacity equipment, where: is the unit price of the unit energy e produced by the production equipment, is the performance parameter of the production equipment, Price e is the unit price of the system's outsourced energy e, MC Eq It is the operation and maintenance cost of production capacity equipment.

[0106] When the determination module determines the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, specifically: the total average production capacity unit price of the energy storage device at the current moment is calculated based on the historical data, and a logical loop judgment is entered according to the set energy storage change step, the number of cycle adjustments, the upper limit of the reserve and the lower limit of the reserve, and the total average production capacity unit price and energy storage change of the energy storage device are obtained after the cycle ends.

[0107] The total average capacity unit price of the energy storage equipment is Calculated, among which, is the total average production capacity unit price of energy storage equipment at the current moment, is the average production capacity unit price of energy storage equipment k′ before it participates in energy supply, with an initial value of 0; P e,sup The output that needs to be supplemented by the equipment; P e,sum is the total output of the fully loaded equipment, with an initial value of 0; P e,k is the actual output of the kth production equipment after the production equipment is sorted by unit price; x e,k is the unit price of the kth capacity equipment after the capacity equipment is sorted by unit price; η e,k is the performance coefficient of the kth capacity equipment after the capacity equipment is sorted by unit price, and i is the total number of heavy capacity equipment in the system.

[0108] The logic loop judgment is specifically as follows:

[0109] Determine whether the total average production capacity unit price of the energy storage equipment at the current moment is higher than the total average production capacity unit price of the energy storage equipment at the previous moment;

[0110] If yes, the energy storage change at the current moment is reduced by one energy storage change step; if no, the energy storage change at the current moment is increased by one energy storage change step;

[0111] If the energy storage change at the current moment does not meet the energy storage lower limit, the energy storage change is the energy storage lower limit minus the current storage;

[0112] If the energy storage change at the current moment does not meet the energy storage upper limit, the energy storage change is the current storage minus the energy storage upper limit;

[0113] Determine whether the energy storage change at the current moment meets the energy demand;

[0114] If it is satisfied, the total average capacity price of the energy storage equipment is set to the capacity price of the energy storage equipment with the lowest capacity price at present, and the energy storage change is

[0115] If it is not satisfied, the output quantity required by the equipment is And in the next cycle, it is used as an input parameter for calculating the total average capacity unit price of the energy storage equipment;

[0116] Among them, Load e is the energy demand for the current period, is the energy release efficiency of the energy storage device, Q e,t is the energy storage change at the current moment.

[0117] The determination module determines the actual output of the production capacity equipment based on the energy storage change and the real-time production capacity unit price of each production capacity equipment in the system, specifically:

[0118] Sort the real-time capacity unit price of each capacity equipment in the system in ascending order of unit price;

[0119] Determine whether each capacity device, sorted in ascending order of unit price, is fully loaded;

[0120] If the output is at full load, the actual output of each production capacity equipment is the full load output;

[0121] If the output is not at full load, the actual output of each capacity equipment is determined based on the change in energy storage and the total demand.

[0122] The objective function of the economic operation strategy model constructed by the optimization module is: Among them, OPEX IES is the total daily operation and maintenance cost of the system, EC k,e The purchase cost of the equipment that consumes energy is expressed as: E k,e,t is the amount of energy consumed during the preset period, Price e,t is the energy price within the preset period; MCk,e is the maintenance cost, expressed as: Cost is the output of energy equipment within a preset period of time. main,k The operation and maintenance cost per unit output.

[0123] The third embodiment of the present invention relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for optimizing the low-carbon economic operation strategy of the integrated energy system of the first embodiment when executing the computer program.

[0124] The fourth embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method for optimizing the low-carbon economic operation strategy of the integrated energy system of the first embodiment.

[0125] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) that contain computer-usable program code.

[0126] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0127] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0129] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for optimizing low-carbon economic operation strategy of an integrated energy system, characterized in that: The following steps are involved: Calculate the real-time unit price of each production capacity equipment in the system; Determine the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, and determine the actual output of the production capacity device based on the energy storage change and the real-time production capacity unit price of each production capacity device in the system; Taking the actual output of the production capacity equipment as a constraint and minimizing the total daily operation and maintenance cost of the system as a goal, an economic operation strategy model is constructed, and the economic operation strategy model is solved to obtain an operation decision.

2. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 1 is characterized in that: The real-time unit price of each capacity equipment is Calculated, where is the unit price of the unit energy e produced by the production equipment, is the performance parameter of the production equipment, Price e is the unit price of the system's outsourced energy e, MC Eq It is the operation and maintenance cost of production capacity equipment.

3. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 1 is characterized in that: The total average production capacity unit price and energy storage change of the energy storage equipment are determined by logical loop based on historical data, specifically: The total average production capacity unit price of the energy storage equipment at the current moment is calculated based on historical data, and a logical loop judgment is entered according to the set energy storage change step, number of cycle adjustments, upper and lower limits of reserves, and the total average production capacity unit price and energy storage change of the energy storage equipment are obtained after the cycle ends.

4. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 3 is characterized in that: The total average capacity unit price of the energy storage equipment is Calculated, where is the total average production capacity unit price of energy storage equipment at the current moment, is the average production capacity unit price of energy storage equipment k′ before it participates in energy supply, with an initial value of 0; P e,sup The output that needs to be supplemented by the equipment; P e,sum is the total output of the fully loaded equipment, with an initial value of 0; P e,k is the actual output of the kth production equipment after the production equipment is sorted by unit price; x e,k is the unit price of the kth capacity equipment after the capacity equipment is sorted by unit price; η e,k is the performance coefficient of the kth capacity equipment after the capacity equipment is sorted by unit price, and i is the total number of heavy capacity equipment in the system.

5. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 4 is characterized in that: The logic loop judgment is specifically as follows: Determine whether the total average production capacity unit price of the energy storage equipment at the current moment is higher than the total average production capacity unit price of the energy storage equipment at the previous moment; If yes, the energy storage change at the current moment is reduced by one energy storage change step; if no, the energy storage change at the current moment is increased by one energy storage change step; If the energy storage change at the current moment does not meet the energy storage lower limit, the energy storage change is the energy storage lower limit minus the current storage; If the energy storage change at the current moment does not meet the energy storage upper limit, the energy storage change is the current storage minus the energy storage upper limit; Determine whether the energy storage change at the current moment meets the energy demand; If it is satisfied, then the total average capacity price of the energy storage equipment is set to be the capacity price of the energy storage equipment with the lowest capacity price. The change in energy storage is If it is not satisfied, the output quantity required by the equipment is And in the next cycle, it is used as an input parameter for calculating the total average capacity unit price of the energy storage equipment; Among them, Load e is the energy demand for the current period, is the energy release efficiency of the energy storage device, Q e,t is the energy storage change at the current moment.

6. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 1, characterized in that: The actual output of the production capacity equipment is determined based on the energy storage change and the real-time production capacity unit price of each production capacity equipment in the system, specifically: Sort the real-time capacity unit price of each capacity equipment in the system in ascending order of unit price; Determine whether each capacity device, sorted in ascending order of unit price, is fully loaded; If the output is at full load, the actual output of each production capacity equipment is the full load output; If the output is not at full load, the actual output of each capacity equipment is determined based on the change in energy storage and the total demand.

7. The method for optimizing low-carbon economic operation strategy of an integrated energy system according to claim 1, characterized in that: The objective function of the economic operation strategy model is: Among them, OPEX IES is the total daily operation and maintenance cost of the system, EC k,e The purchase cost of the equipment that consumes energy is expressed as: E k,e,t is the amount of energy consumed during the preset period, Price e,t is the energy price within the preset period; MC k,e is the maintenance cost, expressed as: Cost is the output of energy equipment within a preset period of time. main,k The operation and maintenance cost per unit output.

8. A low-carbon economic operation strategy optimization device for an integrated energy system, characterized in that: include: The calculation module is used to calculate the real-time capacity unit price of each capacity equipment in the system; A determination module, used to determine the total average production capacity unit price and energy storage change of the energy storage device through a logical loop based on historical data, and determine the actual output of the production capacity device based on the energy storage change and the real-time production capacity unit price of each production capacity device in the system; The optimization module is used to construct an economic operation strategy model with the actual output of the production capacity equipment as a constraint and the lowest total daily operation and maintenance cost of the system as the goal, and solve the economic operation strategy model to obtain an operation decision.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for optimizing the low-carbon economic operation strategy of the integrated energy system as described in any one of claims 1-7 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 for optimizing the low-carbon economic operation strategy of the integrated energy system as described in any one of claims 1 to 7 are implemented.

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