Multi-energy P2P (Peer-to-Peer) sharing control system and method for double-layer multi-region integrated energy system

Abstract

The invention discloses a multi-energy P2P sharing control system and method for a double-layer multi-area comprehensive energy system. The system comprises a power supply company, a gas supply company and a comprehensive energy operator. The integrated energy operator is connected with the power supply company, the gas supply company and the multi-region integrated energy system and is used for performing energy transaction and scheduling with the multi-region integrated energy system; the multi-region integrated energy system is composed of a plurality of different types of region integrated energy systems, and energy conversion units and energy storage equipment are configured in the region integrated energy systems in a heterogeneous mode according to energy consumption characteristics. A plurality of regional comprehensive energy systems are connected with one another, and electric energy and heat energy complementation among regions is directly achieved in a P2P sharing mode. By adopting the method, the operation cost of the comprehensive energy system of each region can be effectively reduced, and the optimal energy P2P price of each region can be obtained to adapt to the actual operation.

Description

Technical Field

[0001] The present invention relates to the technical field of optimal control of multi-region integrated energy systems, and specifically to a multi-energy P2P sharing control system and its control method for a two-layer multi-region integrated energy system. Background Art

[0002] With the change in the diversity of energy types and the expansion of demand by humans, the problems of energy shortage and global warming have become increasingly prominent. The regional integrated energy system is considered to be able to effectively alleviate the instability of energy supply and reduce carbon emissions.

[0003] Considering that the regional integrated energy system has the dual roles of both producer and consumer, it is possible for multiple regional integrated energy systems to achieve complementary and mutually beneficial energy. At the same time, with the concept of energy sharing taking root in people's hearts, the interconnection of multiple regional integrated energy systems to achieve information and energy interaction and coordination has been proven to be able to effectively improve the stability of the operation of the regional integrated energy system.

[0004] However, in the current multi-region energy allocation control systems and methods, direct energy sharing cannot be completed between regions and needs to be done through a third-party energy intermediary, which brings two defects in the energy sharing process. First: the exposure of privacy information, and the energy transaction information of each region is exposed to the third-party energy intermediary, and the increase in the number of regions will also increase the data pressure on the third party; Second: neither the buyer nor the seller can maximize their interests, because a third party is involved, and the third party often extracts some benefits from it.

[0005] Secondly, there is no distinction made between the units and energy storage devices configured in each current regional integrated energy system, and each regional integrated energy system is arranged the same. However, in the actual operation process, the energy consumption characteristics of each regional integrated energy system are significantly different, which also makes the demands for energy conversion equipment units and energy storage devices significantly different. If the units and energy storage devices are not designed heterogeneously, not only these devices cannot be fully utilized, but also huge investment waste will be caused.

[0006] In terms of control methods, the current control methods do not consider the energy cooperation model of each regional integrated energy system. The problem of minimizing the operation cost of the multi-region integrated energy system is not split according to each regional integrated energy system, and it remains to be discussed whether the actual cost is minimized; Secondly, the benefits brought by the energy cooperation between each regional integrated energy system are not considered, and naturally the energy P2P price of each regional integrated energy system cannot be calculated based on the actual operation situation. Therefore, the cost minimization of the existing control methods can only be a relative value and cannot match the actual situation. Summary of the Invention

[0007] In order to overcome the defects and deficiencies of the existing technology, this application proposes a multi-energy P2P sharing control system and method for a two-layer multi-region integrated energy system, enabling the cooperation game mode of energy P2P sharing to be retained among the regional integrated energy systems, achieving cost minimization, and adapting to actual operation.

[0008] Alternatively, further, the present invention can effectively reduce the operating cost of each regional integrated energy system and obtain the optimal energy P2P price for each region.

[0009] The embodiments of this application are implemented as follows: A multi-energy P2P sharing control system for a two-layer multi-region integrated energy system, characterized by comprising: A power supply company and a gas supply company, respectively used to provide electric energy and natural gas; An integrated energy operator, including gas storage equipment and electricity storage equipment, used to profit from charging and discharging energy in time-of-use energy prices; the integrated energy operator is connected to the power supply company, the gas supply company, and the multi-region integrated energy system, and is used to conduct energy transactions and scheduling with the multi-region integrated energy system; A multi-region integrated energy system, composed of multiple different types of regional integrated energy systems. Inside the regional integrated energy system, energy conversion units and energy storage equipment are configured heterogeneously according to energy consumption characteristics; multiple regional integrated energy systems are interconnected and directly achieve complementary electric energy and heat energy between regions through P2P sharing.

[0010] In the above technical solution, taking the integrated energy operator as the leader and the multi-region integrated energy system as the follower, a Stackerberg principal-agent game theory model is constructed. Inside the multi-region integrated energy system, each regional integrated energy system is constructed as a cooperation game model for energy P2P sharing.

[0011] In the above technical solution, the multi-region integrated energy system includes residential areas, industrial areas, and commercial areas, and the energy conversion units and energy storage equipment in different regions are configured differently according to their respective energy consumption characteristics.

[0012] In the above technical solution, the different regional differential configurations in the multi-region integrated energy system are reflected in three aspects: different configurations and capacities of renewable energy power generation devices and energy storage devices, different configurations of energy conversion devices, and different types and quantities of load type requirements.

[0013] In the above technical solution, each type of regional integrated energy system is equipped with distributed power generation devices such as wind power or photovoltaic power.

[0014] In the above technical solution, the configuration model of the energy conversion unit in the regional integrated energy system is as follows: The gas turbine model is set as follows: Electric energy output: The electric energy output of the gas turbine is proportional to the amount of natural gas burned, subject to the minimum and maximum power generation limits of the equipment; Thermal energy output: The thermal energy generated by the gas turbine is a by-product of the electric energy output. The amount of thermal energy generated is subject to the upper and lower limits of the thermal power of the gas turbine; The gas boiler model is set as follows: Thermal energy output: The gas boiler generates thermal energy by burning natural gas. The amount of thermal energy output depends on the amount of natural gas burned and the conversion efficiency of the equipment; Constraint conditions: The operation of the gas boiler is subject to the upper and lower limits of natural gas consumption and thermal energy output; The electric boiler model is set as follows: Thermal energy output: The electric boiler generates thermal energy by consuming electric energy. The amount of thermal energy output is proportional to the amount of electric energy input, subject to the power range of the electric boiler equipment; The absorption chiller model is set as follows: Cooling energy output: The absorption chiller generates cooling energy by consuming thermal energy. The amount of cooling energy output depends on the input thermal energy and the conversion efficiency of the electric boiler; Constraint conditions: The operation of the absorption chiller is subject to the upper and lower limits of thermal energy input and cooling energy output; The electric chiller model is set as follows: Cooling / thermal energy output: The electric chiller generates cooling energy or thermal energy by consuming electric energy. The output amount depends on the power of the electric chiller and the operating mode; Constraint conditions: The operation of the electric chiller is subject to the upper and lower limits of electric energy input and cooling / thermal energy output.

[0015] In the above technical solution, the integrated energy system model includes an energy conversion unit model, an energy storage device model, a multi-energy load model, and an energy P2P sharing model.

[0016] In the above technical solution, the energy storage device configuration model in each regional integrated energy system is as follows: Electric energy storage device model: Charge / discharge process: The electric energy storage device charges when the electricity price is low and discharges when the electricity price is high. Through the charge-discharge process, the time transfer of electric energy is realized, and the electricity consumption cost is reduced; Constraint conditions: The operation of the electric energy storage device is subject to the charging power, discharging power, energy storage capacity, and charge-discharge efficiency of the device; The charge and discharge states need to be avoided from occurring simultaneously to ensure the normal operation of the device; Thermal energy storage device model: Charge / heat release process: The thermal energy storage device stores thermal energy when there is an excess of thermal energy and releases thermal energy when there is a shortage of thermal energy, realizing the time transfer of thermal energy and improving the energy utilization efficiency; Constraints: The operation of the heat storage device is restricted by the heat storage power, heat release power, heat storage capacity, and heat storage efficiency. At the same time, the charging and discharging states of the device need to be avoided from occurring simultaneously to ensure the normal operation of the device. Gas storage device model: A gas storage device is a device used to store and release natural gas, such as a gas storage tank.

[0017] Charging / discharging process: The gas storage device is set to store natural gas when the natural gas price is low and release natural gas when the natural gas price is high or the demand is large, so as to achieve the time transfer of natural gas and reduce the gas consumption cost. Constraints: The operation of the gas storage device is restricted by the charging power, discharging power, gas storage capacity, and charging / discharging efficiency. At the same time, the charging and discharging states of the device need to be avoided from occurring simultaneously to ensure the normal operation of the device.

[0018] In the above technical solution, the multi-region integrated energy systems directly conduct energy transactions through a decentralized P2P sharing method without going through a third-party energy intermediary.

[0019] In the above technical solution, in the second stage: The asymmetric Nash bargaining method distributes benefits according to the energy contribution degrees of the regional integrated energy systems, while considering the interests of the various subjects participating in the game, the interests of the overall multi-region integrated energy system, and the energy contribution degrees of the various subjects.

[0020] In the above technical solution, when there is an imbalance between energy supply and demand in a regional integrated energy system, priority is given to completing compensation within the regional integrated energy system in the form of energy P2P sharing transactions. When the energy P2P complementarity cannot be completed within the multi-region integrated energy system, compensation is carried out through transactions with a third-party integrated energy operator.

[0021] An optimization control method for a multi-energy P2P sharing system of a two-layer multi-region integrated energy system, characterized by comprising the following steps: Construct an integrated energy system model, which includes an energy conversion unit model, a heat storage device model, a multi-energy load model, and an energy P2P sharing model. Establish a two-layer game model, including a master-slave game model between the integrated energy operator and the multi-region integrated energy systems, and a cooperative game model within the multi-region integrated energy systems; and set it into the following two stages: The first stage: Construct a Stackelberg leader-follower game theory model with the integrated energy operator as the leader and the multi-region integrated energy system as the follower through the principal-agent game theory. Inside the multi-region integrated energy system, construct a cooperative game model for energy P2P sharing in each regional integrated energy system; optimize the problem of maximizing the comprehensive benefits of the integrated energy operator and minimizing the operating costs of the multi-region integrated energy system. The second stage: According to the energy P2P transaction volume information in the first stage, use the asymmetric Nash bargaining method to optimize the energy P2P sharing transaction price between regional integrated energy systems, and fairly distribute the interests of each region in energy sharing.

[0022] In the above technical solution, the multi-region integrated energy systems directly conduct energy transactions through a decentralized P2P sharing method without going through a third-party energy intermediary.

[0023] In the above technical solution, in the second stage: the asymmetric Nash bargaining method distributes interests according to the energy contribution degree of each regional integrated energy system, and at the same time considers the interests of each subject participating in the game, the interests of the overall multi-region integrated energy system, and the energy contribution degree of each subject.

[0024] In the above technical solution, when there is an imbalance between energy supply and demand in a certain regional integrated energy system, priority is given to completing compensation within the multi-region integrated energy system in the form of energy P2P sharing transactions; when energy P2P complementary cannot be completed within the multi-region integrated energy system, compensation is carried out through transactions with a third-party integrated energy operator.

[0025] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention comprehensively considers the diversity of load demands in the multi-region integrated energy system, the intermittency of renewable energy power generation, and the fairness of interest distribution among the subjects in the multi-region integrated energy system, and proposes a two-layer multi-region integrated energy system multi-energy P2P sharing system.

[0026] (2) The prior art only needs to solve the optimization problems that occur in the principal-agent game model composed of the upper-layer shared energy storage operator and the lower-layer regional integrated energy system. Generally, it is the problem of minimizing the cost of the upper-layer shared energy storage operator and the problem of minimizing the cost of the lower-layer regional integrated energy system.

[0027] The present invention first needs to solve the problem of maximizing the comprehensive benefits of integrated energy operators in the first stage and the problem of minimizing the operating costs of multi-region integrated energy systems. Further, the problem of minimizing the operating costs of multi-region integrated energy systems is decomposed into each regional integrated energy system, and each regional integrated energy system solves its respective sub-problems distributively to obtain the optimal scheduling strategy. In the second stage, in order to solve the benefits brought by energy cooperation between regional integrated energy systems, a distributed algorithm is adopted, and each regional integrated energy system solves the optimal energy P2P price respectively. The optimization problem of the present invention is more complex than the prior art.

[0028] (3) The present invention establishes a leader-follower non-cooperative game model for integrated energy operators and multi-region integrated energy systems, enabling the leader - integrated energy operator to set dynamic energy purchase and sale prices. The formulation of this dynamic price can stimulate each regional integrated energy system to complete demand response. At the same time, each regional integrated energy system within the multi-region integrated energy system is constructed as a cooperative game model, optimizing the energy P2P trading volume and benefit distribution between regional integrated energy systems. Under this cooperative game, the operating costs of each regional integrated energy system can be effectively reduced, and the local consumption of energy can be promoted.

[0029] (4) Compared with traditional methods, the benefit distribution method of the present invention adopts the asymmetric Nash bargaining method, which can simultaneously consider the interests of each subject participating in the game, the interests of the overall multi-region integrated energy system, and the energy contribution degree of each subject. It can ensure fair and objective benefit distribution through technical means, effectively improve the benefits of each regional integrated energy system, and enhance the enthusiasm of each subject for energy P2P sharing. Brief Description of the Drawings

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0031] Figure 1 It is a structural block diagram of a dual-layer multi-region integrated energy system multi-energy P2P sharing control system for the embodiments of the present application.

[0032] Figure 2 It is a flowchart of the control method for the embodiments of the present application. Detailed Embodiments

[0033] The features and performances of the present application will be further described in detail below in combination with embodiments.

[0034] Embodiment 1 As Figure 2 shown, the present invention provides an energy control method for a multi - energy P2P sharing system based on the above - mentioned double - layer multi - area integrated energy system. The main idea is as follows: First, model the optimization problems of the integrated energy operator and each regional integrated energy system, and design a two - stage distributed trading and benefit distribution method; in the first stage, construct a non - cooperative game model for the multi - area integrated energy system composed of the integrated energy operator and each regional integrated energy system, and construct a cooperative game model for each regional integrated energy system in the multi - area integrated energy system; in the non - cooperative game model, with the integrated energy operator as the leader, the optimization goal is to maximize the comprehensive benefit, and with the multi - area integrated energy system as the follower, the optimization goal is to minimize the total cost; in the cooperative game model, each regional integrated energy system can share trading electric energy and heat energy with each other.

[0035] When both the above - mentioned non - cooperative game and cooperative game reach equilibrium, the leader - the integrated energy operator obtains the energy trading volume with the power supply company and the gas supply company, the energy trading price with each regional integrated energy system, and the charging and discharging scheduling of the energy storage equipment within the integrated energy operator; the follower - each regional integrated energy system in the multi - area integrated energy system obtains the energy trading volume with the integrated energy operator, the energy P2P sharing trading volume with other regional integrated energy systems, and the scheduling strategies of the energy storage equipment and energy conversion devices within the regional integrated energy system; in the second stage, each regional integrated energy system quantifies its respective energy contribution degree by using the method of non - linear energy mapping according to the energy P2P sharing trading volume with other regional integrated energy systems obtained in the first stage, and then solves the energy P2P sharing trading price between each regional integrated energy system through the alternating direction multiplier method and the asymmetric Nash negotiation method. The specific steps of this method are as follows: The first - stage control includes controlling the optimal energy trading strategy between the multi - area integrated energy system and the integrated energy operator, as well as the optimal energy P2P sharing trading volume between each regional integrated energy system: (1) Based on the electricity purchase and sale demand and gas purchase demand of the multi - area integrated energy system, the integrated energy operator combines the electricity purchase and sale costs and constraints with the power supply company (including electricity purchase and sale price limits, trading volume limits), the gas purchase costs and constraints with the gas supply company (including gas purchase price limits, trading volume limits), and overall considers the multi - energy balance constraint and the operation constraint of the energy storage equipment, and finally calculates the optimal strategy that maximizes the benefit of the integrated energy operator. This strategy specifically includes: the trading volume of purchasing or selling electric energy from / to the power supply company, the trading volume of purchasing natural gas from the gas supply company, and the electricity purchase and sale price and natural gas sale price formulated for the multi - area integrated energy system; Specifically, the comprehensive benefit of the integrated energy operator is expressed as follows: ; Among them, represents the benefit of the integrated energy operator within one day. and respectively represent the profits obtained by the integrated energy operator in the electricity trading and natural gas trading during the time period . represents the maintenance cost of the energy storage device during the time period . The set is the entire scheduling cycle, represents 24 hours a day.

[0036] Furthermore, the specific description is as follows: ; Among them, , , respectively represent the electricity selling price, electricity purchasing price of the integrated energy operator to the power supply company and the natural gas purchasing price from the gas supply company at the moment. and represent the electricity purchasing price and electricity selling price of the multi-region integrated energy system to the integrated energy operator at the moment. , , respectively represent at the th region integrated energy system's electricity power purchased from the integrated energy operator, electricity power sold, and natural gas power purchased. , , respectively represent at the moment the integrated energy operator's electricity power purchased from the power supply company, electricity power sold, and gas energy power purchased from the gas supply company. , and , are the charging power and discharging power of the energy storage device in the integrated energy operator at the moment. , and , are the maintenance costs per unit of charging and discharging. The set represents the overall regional integrated energy system, is the total number of regional integrated energy systems in the system.

[0037] The energy purchase and sale price constraint conditions of the said integrated energy operator are as follows: ; The multi - energy balance constraint of the integrated energy operator is as follows: ; ; (2) Based on the electricity purchase and sale price and natural gas purchase price preliminarily formulated by the integrated energy operator, the multi - regional integrated energy system combines the operation constraints (output limit, capacity constraint) of the units and energy storage devices in each regional integrated energy system and the multi - energy balance constraint within each region, and obtains the optimal strategy that minimizes the total cost of the multi - regional integrated energy system through calculation. This strategy specifically includes: the operating power of the units and energy storage devices in the multi - regional integrated energy system, the electricity and natural gas trading volumes with the integrated energy operator, and the P2P sharing trading volumes of electricity and heat energy between the regional integrated energy systems; Specifically, the operating cost of the multi - regional integrated energy system is expressed as follows: ; ; Among them, is the comprehensive cost of the multi - regional integrated energy system, represents the comprehensive cost of the th regional integrated energy system. , represent the electricity and natural gas trading costs of the th regional integrated energy system at the th moment, , , , respectively represent the demand response cost, equipment operation and maintenance cost, energy storage device operation and maintenance cost, and carbon over - emission cost of the th regional integrated energy system at the th moment. represents the cost of participating in energy P2P sharing of the th regional integrated energy system at the th moment. Note that in the overall multi - regional integrated energy system .

[0038] Furthermore, it is specifically expressed as follows: ; Among them, , , , , , respectively represent the th regional integrated energy system at the Transferable electric load, curtailable electric load, transferable gas load, curtailable gas load, curtailable heat load, converted curtailable load at a certain moment and 、 、 、 、 represent the unit compensation costs for electric load transfer, electric load curtailment, gas load transfer, gas load curtailment, heat load curtailment, and cold load curtailment respectively. 、 、 、 、 represent the maintenance cost coefficients of equipment such as electric chillers, electric boilers, absorption chillers, gas boilers, and gas turbines respectively. represents the unit carbon emission price per ton. represents the th regional integrated energy system's carbon dioxide emissions for which carbon tax needs to be paid at a certain moment. 、 represent the electric energy and heat energy obtained by the th regional integrated energy system from the th regional integrated energy system, 、 represent the corresponding P2P trading prices of electric energy and heat energy.

[0039] The constraint conditions of the multi-regional integrated energy operator are expressed as follows: The electricity-gas-heat-cooling energy load balance constraints for each regional integrated energy system are expressed as follows:

[0040] ;

[0041] Among them, 、 represent the power of photovoltaic and wind power generation of the th regional integrated energy system at a certain moment . 、 represent the electric energy and heat energy powers generated by the gas turbine in the th regional integrated energy system at a certain moment . is the charging power demand of electric vehicles in the th regional integrated energy system at each moment . , respectively represent the discharging and charging powers of the electricity storage equipment in the th regional integrated energy system at moment. , respectively represent the discharging and charging powers of the gas storage equipment in the th regional integrated energy system at moment. , respectively represent the discharging and charging powers of the heat storage equipment in the th regional integrated energy system at moment. , , , respectively represent the electricity load, gas load, heat load, and cooling load of the th regional integrated energy system after demand response. , respectively represent the natural gas powers consumed by the gas turbine and gas boiler in the th regional integrated energy system at moment. , respectively represent the electric energy consumed and cooling energy generated by the electric chiller in the th regional integrated energy system at moment. , , respectively represent the electric energy consumed, heat energy generated, and heat energy generated by the electric boiler in the th regional integrated energy system at moment. , respectively represent the heat energy consumed and cooling energy generated by the absorption chiller in the th regional integrated energy system at moment.

[0042] Specifically, for the overall multi - regional integrated energy system, when forming a non - cooperative game with the integrated energy operator, the multi - regional integrated energy system solves the optimization problem as a whole; during the solution process, the optimization problem of the overall multi - regional integrated energy system is further split into sub - problems of blocks to achieve distributed solution, where represents the number of regional integrated energy systems in the multi - regional integrated energy system. In the process of taking the multi - regional integrated energy system as a whole, a cooperative game model is established between each regional integrated energy system, and a fully distributed energy P2P sharing mechanism is established to achieve energy P2P sharing between each regional integrated energy system.

[0043] (3)Based on the electricity purchase and sales volume and natural gas purchase volume fed back by the multi-region integrated energy system, the integrated energy operator updates and calculates the optimal strategy that maximizes the interests of the integrated energy operator. This strategy specifically includes: the trading volume of purchasing or selling electricity from / to the power supply company, the trading volume of purchasing natural gas from the gas supply company, and the electricity purchase and sales price and natural gas sales price formulated for the multi-region integrated energy system; (4)Based on the optimal electricity purchase and sales price and optimal natural gas purchase price determined by the integrated energy operator, the multi-region integrated energy system updates and calculates the optimal strategy that minimizes the cost of the multi-region integrated energy system. And finally, the strategy that minimizes the cost of the multi-region integrated energy system is determined. This strategy includes: the operating power of the units and energy storage devices in the multi-region integrated energy system, the electricity and natural gas trading volume with the integrated energy operator, and the P2P sharing trading volume of electricity and heat energy between the regional integrated energy systems.

[0044] The second-stage control is to control the optimal energy trading price between the multi-region integrated energy systems: (1)Based on the optimal electricity P2P sharing trading volume and heat energy P2P sharing trading volume obtained in the first stage, each regional integrated energy system in the multi-region integrated energy system uses the asymmetric Nash bargaining theory to quantify the energy contribution degree of each regional integrated energy system in the energy P2P sharing; ; ; ; Among them, and respectively represent the total energy obtained and the total energy provided by the th regional integrated energy system in the energy cooperation contribution. represents the contribution degree obtained by the th regional integrated energy system after quantification through the non-linear energy mapping method. represents the maximum value of the energy contribution among the regional integrated energy systems, represents the maximum value of the energy received among the regional integrated energy systems.

[0045] (2)Taking the energy contribution degree as the core bargaining factor, each regional integrated energy system in the multi-region integrated energy system initially calculates the electricity P2P sharing trading price and heat energy P2P sharing trading price that maximize the interests of each regional integrated energy system according to the cost and net profit constraints of the energy P2P sharing transaction in turn; ; ; Among them, represents the cost that the th regional integrated energy system needs to pay for energy P2P sharing with other regional integrated energy systems at moment, and the total cost that the th regional integrated energy system needs to pay for energy P2P sharing with other regional integrated energy systems during the entire scheduling period. represents the operating cost of the th regional integrated energy system that does not participate in energy P2P sharing.

[0046] (3) Each regional integrated energy system in the multi-regional integrated energy system sequentially updates and calculates its own electricity and heat P2P sharing transaction prices according to the electricity and heat P2P sharing transaction prices fed back by other regional integrated energy systems, and finally obtains the electricity P2P sharing transaction price and heat P2P sharing transaction price that maximize the benefits of each regional integrated energy system.

[0047] Furthermore, the models of the energy conversion devices and energy storage equipment in the system specifically include the following: (1) The model of the gas boiler is as follows: ; Among them, represents the natural gas consumption of the gas boiler in RIES at moment, represents the heat generated by the gas boiler in RIES at moment, , respectively represent the energy conversion efficiency and natural gas calorific value of the gas boiler.

[0048] (2) The model of the gas turbine is as follows: ; ; Among them, represents the natural gas consumption of the gas turbine in the th regional integrated energy system at moment, , respectively represent the heat and electricity generated by the gas turbine in the th regional integrated energy system at moment, , respectively represent the efficiency of the gas turbine in generating heat and electricity.

[0049] (3)The absorption chiller model is as follows: ; where represents the heat consumed by the absorption chiller in the th district integrated energy system at time ; represents the cooling capacity generated by the absorption chiller in the th district integrated energy system at time ; represents the energy conversion efficiency of the absorption chiller.

[0050] (4)The electric boiler model is as follows: ; where represents the electricity consumed by the electric boiler in the th district integrated energy system at time ; represents the heat generated by the electric boiler in the th district integrated energy system at time ; represents the energy conversion efficiency of the electric boiler.

[0051] (5)The electric chiller model is as follows: ; where represents the electricity consumed by the electric chiller in the th district integrated energy system at time ; represents the cooling capacity generated by the electric chiller in the th district integrated energy system at time ; represents the energy conversion efficiency of the electric chiller.

[0052] (6)The constraints of the energy storage device in the integrated energy operator are as follows: ; ; ; ; where , respectively represent the energy storage of the energy storage device in the integrated energy operator at time and the energy storage at time ; , respectively represent the charging and discharging efficiencies of the energy storage device; and 、 and respectively represent the charging energy, discharging energy, upper limit of charging power, and upper limit of discharging power of the energy storage device at moment; and respectively represent the minimum energy storage coefficient and the maximum energy storage coefficient of the energy storage device; and respectively represent the energy storage amounts of the energy storage device at the initial moment and the final moment of the scheduling period. The set represents the identification of the energy storage device in the integrated energy operator, including the electricity storage device and the gas storage device.

[0053] The constraints of the energy storage device in the regional integrated energy system in (7) are as follows:

[0054] ; ; ; Among them, and respectively represent the energy storage amount of the energy storage device in the th regional integrated energy system at moment and the energy storage amount at moment; and respectively represent the charging and discharging efficiencies of the energy storage device; 、 、 and respectively represent the charging energy, discharging energy, upper limit of charging power, and upper limit of discharging power of the energy storage device at moment; and respectively represent the minimum energy storage coefficient and the maximum energy storage coefficient of the energy storage device; and respectively represent the energy storage amounts of the energy storage device at the initial moment and the final moment of the scheduling period. The set represents the identification of the energy storage device in the regional integrated energy system, including the electricity storage device, the heat storage device, and the gas storage device.

[0055] The energy demand response model of each regional integrated energy system in the system is as follows: (1) The electricity-gas energy demand response model is as follows: ; ; ; ; ; ; ; ; Among them, , , and respectively represent the original electricity load, post-demand response electricity load, curtailable electricity load, and shiftable electricity load of the th regional integrated energy system at the moment. , , and respectively represent the original gas load, post-demand response gas load, curtailable gas load, and shiftable gas load of the th regional integrated energy system at the moment. , respectively represent the proportion coefficient of the shiftable electricity load and the proportion coefficient of the curtailable electricity load. , respectively represent the proportion coefficient of the shiftable gas load and the proportion coefficient of the curtailable gas load. The set is the entire scheduling period, represents 24 hours a day.

[0056] (2) The heat-cooling energy demand response model is as follows: ; ; ; ; Among them, , and respectively represent the original heat load, post-demand response heat load, and curtailable heat load of the th regional integrated energy system at the moment. , and respectively represent the original cold load, post-demand response cold load, and curtailable cold load of the th regional integrated energy system at the moment. , respectively represent the proportion coefficient of the shearable heat load and the proportion coefficient of the shearable cold load.

[0057] The carbon trading model of the integrated energy system in each region of the system is as follows: ; ; ; ; ; ; ; Among them, , , represent the carbon dioxide emissions, actual carbon emissions, and the part of carbon quota exempt from carbon tax that the integrated energy system in the th region needs to pay carbon tax at time . The carbon emissions exempt from carbon tax due to carbon quota. , respectively represent the actual carbon emissions when using electricity and natural gas in the integrated energy system in the th region at time . The actual carbon emissions when using electricity and natural gas. , respectively represent the carbon emission factors per unit of electricity and gas consumption, , respectively represent the free carbon quota coefficients per unit of electricity and gas. represents the electricity purchased by the integrated energy system in the th region at time . The electricity purchased. , respectively represent the carbon emission coefficients of the gas turbine and the gas boiler, represents the electrothermal coefficient of the carbon emission of the gas turbine. , respectively represent the carbon quota coefficients for generating carbon dioxide using the gas turbine and the gas boiler.

[0058] The P2P trading mechanism model of the integrated energy system in each region of the system is as follows: ; ; ; ; Among them, , respectively represent the integrated energy system in the th region from the The electric energy obtained by the th regional integrated energy system and the electric energy obtained by the th regional integrated energy system from the th regional integrated energy system, , respectively represent the th regional integrated energy system's thermal energy obtained from the th regional integrated energy system and the thermal energy obtained by the th regional integrated energy system from the th regional integrated energy system, .

[0059] Furthermore, the optimization scheduling model of the integrated energy operator includes an objective function and constraint conditions, which are specifically as follows: 1) The objective function of the integrated energy operator is to maximize the operator's own comprehensive benefits, and its comprehensive benefits are expressed as follows: ; Among them, represents the benefits of the integrated energy operator within one day. and respectively represent the profits obtained by the integrated energy operator in the electricity trading and natural gas trading during the time period , represents the maintenance cost of the energy storage device during the time period for the integrated energy operator.

[0060] Furthermore, it is specifically expressed as follows: ; Among them, , and , are the maintenance costs per unit of charging and discharging. , , respectively represent the electricity selling price, electricity purchasing price from the power supply company, and natural gas purchasing price from the gas supply company by the integrated energy operator at the moment. and represent the electricity purchasing price and electricity selling price of the multi-regional integrated energy system to the integrated energy operator at the moment. represents the The price of purchasing natural gas from the integrated energy operator at each moment. and respectively represent the electric power sold by the th regional integrated energy system to the integrated energy operator and the natural gas power purchased at the moment. and respectively represent the electric power purchased by the integrated energy operator from the power supply company, the electric power sold, and the gas power purchased from the gas supply company at the moment. The set represents the overall regional integrated energy system,

[0061] 2) The constraint conditions of the above-mentioned integrated energy operator are expressed as follows: To protect the interests of each regional integrated energy system, the energy selling price set by the integrated energy operator cannot be higher than the energy selling prices of the power supply company and the gas supply company, and the energy purchasing price cannot be lower than the grid-connected price of the power supply company. The energy purchase and sale price constraint conditions of the integrated energy operator are as follows: ; In the integrated energy operator, the energy input side must be equal to the energy output side to ensure energy balance. The electric power and natural gas energy balance constraints of the integrated energy operator are as follows: ;

[0062] Furthermore, the optimal scheduling model of the multi-regional integrated energy system includes an objective function and constraint conditions, which are specifically as follows: 1) The objective function of the multi-regional integrated energy system is that each regional integrated energy system aims to minimize its own cost, where is the comprehensive cost of the multi-regional integrated energy system, represents the comprehensive cost of the th regional integrated energy system, and is expressed as follows: ; ; Among them, and represent the electric power and natural gas transaction costs of the th regional integrated energy system at the moment, and and and respectively represent the The demand response cost, equipment operation and maintenance cost, energy storage equipment operation and maintenance cost, and carbon over-emission cost of a regional integrated energy system at the moment. Denote the th regional integrated energy system at the moment participating in the cost of energy P2P sharing. Note that in the overall multi-regional integrated energy system .

[0063] Furthermore, the specific description is as follows: ; Among them, , , , , , respectively represent the unit compensation costs of electric load transfer, electric load curtailment, gas load transfer, gas load curtailment, heat load transfer, and cold load transfer. , , , , respectively represent the maintenance cost coefficients of equipment such as electric chillers, electric boilers, absorption chillers, gas boilers, and gas turbines. , are the maintenance costs per unit of charge and discharge energy. represents the unit ton carbon emission price.

[0064] 2) The constraint conditions of the multi-regional integrated energy operator are described as follows: The electric-gas-heat-cooling energy load balance constraints for each regional integrated energy system are described as follows: ; ; ; ; Among them, is the charging power demand of electric vehicles in the th regional integrated energy system at each moment .

[0065] The energy contribution degrees of each regional integrated energy system itself are expressed as: ; ; ; Among them, , respectively represent the sum of the energy obtained and the sum of the energy provided by the th regional integrated energy system in the energy cooperation contribution. represents the contribution degree obtained by quantifying the th regional integrated energy system through the non-linear energy mapping method. represents the maximum value of the energy contribution in each regional integrated energy system, represents the maximum value of the energy received in each regional integrated energy system.

[0066] The integrated energy operator benefit maximization model adopted is: ; wherein, represents the comprehensive benefit of the integrated energy operator, is the constraint set of the integrated energy operator, is the optimization variable set of the integrated energy operator.

[0067] The multi-regional integrated energy system cost minimization model adopted is: ; wherein, is the overall operating cost of the multi-regional integrated energy system, represents the operating cost of the th regional integrated energy system. is the constraint set of the th regional integrated energy system, is the optimization variable set of the th regional integrated energy system.

[0068] The distribution model of each benefit regional integrated energy system in the multi-regional integrated energy system adopted is as follows: ; wherein, represents the operating cost of the th regional integrated energy system without participating in the energy P2P sharing, represents the cost of the th regional integrated energy system participating in the energy P2P transaction.

[0069] Example 2 Such as Figure 1As shown, based on Embodiment 1, this embodiment provides a multi-energy P2P sharing system for a double-layer multi-region integrated energy system, including: a power supply company, a gas supply company, an integrated energy operator (IESO), and a multi-region integrated energy system (Multi-RIES) composed of multiple regional integrated energy systems (RIES); the power supply company, connected to the integrated energy operator, is used to purchase or sell electric energy to the integrated energy operator by adopting a time-of-use electricity price mechanism; the gas supply company, connected to the integrated energy operator, is used to sell natural gas to the integrated energy operator by adopting a time-of-use gas price mechanism; the integrated energy operator, connected to multiple regional integrated energy systems, is capable of interacting electric energy and natural gas energy with the multiple regional integrated energy systems.

[0070] Among them, the integrated energy operator at least includes gas storage equipment and electricity storage equipment, which are used to make profits through energy charging and discharging in the time-of-use energy price, and schedule the energy charging and discharging of the internal electricity storage equipment and gas storage equipment; the regional integrated energy system includes three types of regional integrated energy systems: residential area, industrial area, and commercial area, which are used to determine the energy trading volume with the integrated energy operator and the energy P2P sharing trading volume with other regional integrated energy operators according to the wind energy and photovoltaic power generation volume and its own load demand. The multi-region integrated energy system is represented by a set Each regional integrated energy system is configured with wind energy and photovoltaic power generation devices, energy storage devices [electricity storage devices, gas storage devices, heat storage devices], energy conversion devices [electric boilers, electric chillers, absorption chillers, gas boilers, gas turbines], and various types of loads such as electricity, heat, cold, and natural gas. Each type of region internally includes wind energy and photovoltaic power generation devices and various energy loads, and the energy conversion devices and energy storage devices within each regional integrated energy system are heterogeneous according to the resource endowment and load characteristics of each type of regional integrated energy system. The differences between different regional types are mainly reflected in three aspects: the configuration and capacity of renewable energy power generation devices and energy storage devices are different, the configuration of energy conversion devices is different, and the types and quantities of load type requirements are different. Among them, multiple regional integrated energy systems are interconnected, and each regional integrated energy system can independently P2P share electric energy and heat energy to achieve energy compensation.

[0071] The embodiments described above are part of the embodiments of this application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

Claims

1. A double-layer multi-region integrated energy system multi-energy P2P sharing control system, characterized in that: include: Electricity supply companies and gas supply companies, which provide electricity and natural gas respectively; An integrated energy operator, including gas storage equipment and electricity storage equipment, is used to make profits by charging and discharging energy in the time-of-use energy price; the integrated energy operator connects the power supply company, the gas supply company and the multi-regional integrated energy system, and is used to conduct energy transactions and dispatch with the multi-regional integrated energy system; A multi-regional integrated energy system is composed of a plurality of different types of regional integrated energy systems, wherein energy conversion units and energy storage devices are heterogeneously configured within the regional integrated energy system according to energy consumption characteristics; Multiple regional integrated energy systems are interconnected, and direct inter-regional electric and thermal energy complementarity is achieved through P2P sharing.

2. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: With integrated energy operators as leaders and multi-regional integrated energy systems as followers, a Stackerberg master-slave game theory model is constructed. Within the multi-regional integrated energy system, each regional integrated energy system is constructed as a cooperative game model of energy P2P sharing.

3. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: The multi-region integrated energy system includes residential areas, industrial areas and commercial areas, and the energy conversion units and energy storage equipment in different areas are configured differently according to their respective energy consumption characteristics.

4. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: In the multi-regional integrated energy system, the differentiated configurations of different regions are reflected in three aspects: different configurations and capacities of renewable energy power generation devices and energy storage devices, different configurations of energy conversion devices, and different types and quantities of load requirements.

5. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: Each type of regional integrated energy system is equipped with distributed power generation devices such as wind power or photovoltaics.

6. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: The comprehensive energy system model includes energy conversion unit model, energy storage equipment model, multi-energy load model and energy P2P sharing model.

7. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: The multi-regional integrated energy systems directly conduct energy transactions through a decentralized P2P sharing method without going through a third-party energy intermediary.

8. The double-layer multi-region integrated energy system multi-energy P2P sharing control system according to claim 1 is characterized in that: When an imbalance in energy supply and demand occurs within a regional integrated energy system, priority is given to completing compensation within the regional integrated energy system in the form of energy P2P sharing transactions. When energy P2P complementation cannot be completed within a multi-regional integrated energy system, compensation is made through transactions with third-party integrated energy operators.

9. An optimization control method for a double-layer multi-region integrated energy system multi-energy P2P sharing system, characterized in that: The following steps are involved: Constructing a comprehensive energy system model, the model including an energy conversion unit model, an energy storage device model, a multi-energy load model, and an energy P2P sharing model; A two-layer game model is established, including a master-slave game model between integrated energy operators and multi-regional integrated energy systems, and a cooperative game model within the multi-regional integrated energy system; and it is set up in the following two stages: Phase I: Through the master-slave game theory, a Stackerberg master-slave game theory model is constructed with integrated energy operators as leaders and multi-regional integrated energy systems as followers. Within the multi-regional integrated energy system, each regional integrated energy system is constructed as a cooperative game model for energy P2P sharing; optimize the problem of maximizing the comprehensive benefits of integrated energy operators and minimizing the operating costs of multi-regional integrated energy systems; Phase II: Based on the energy P2P transaction volume information in the first phase, an asymmetric Nash negotiation method is used to optimize the energy P2P sharing transaction price between regional integrated energy systems and fairly distribute the benefits of each region in energy sharing.

10. The optimization control method of the double-layer multi-region integrated energy system multi-energy P2P sharing system according to claim 9 is characterized in that: In the second stage, the asymmetric Nash negotiation method is set as follows: the benefits are distributed according to the energy contribution of each regional integrated energy system, while taking into account the interests of each subject participating in the game, the interests of the overall multi-regional integrated energy system, and the energy contribution of each subject.

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