Comprehensive pricing method and device for multi-energy complementary energy system, terminal and storage medium

By establishing a pricing model in the multi-energy complementary energy system, the problems of interest distribution and coordinated development of renewable energy are solved, the on-site absorption of renewable energy and the reduction of system peak shaving pressure are achieved, and the multi-energy complementary energy is promoted. Efficient operation of the base.

CN119323445APending Publication Date: 2025-01-17NORTHWEST ENGINEERING CORPORATION LIMITED
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Patent Information

Application Number
CN202411211644.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-30
Publication Date
2025-01-17

AI Technical Summary

Technical Problem

Multi-energy complementary energy systems face the problems of profit distribution and coordinated development in the process of renewable energy development and promotion, and it is difficult to achieve on-site consumption of renewable energy and reduce the pressure of system peak shaving.

Method used

Adopt the comprehensive pricing method of multi-energy complementary energy systems, and use pricing models to model pricing under different operating modes, including decentralized decision-making models and centralized operating modes, and find solutions to the policy variables to maximize the interests of all parties or maximize joint benefits. Then determine the optimal pricing strategy.

Benefits of technology

It has achieved on-site consumption of renewable energy, reduced the pressure of peak shaking of the system, promoted the construction of multi-energy complementary energy bases and long-term efficient operation, and resolved conflicts of interest in multi-energy complementary systems.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of comprehensive energy system optimization operation, and particularly relates to a multi-energy complementary energy system comprehensive pricing method and device, a terminal and a storage medium. According to the invention, by establishing the pricing model, namely establishing the pricing models in the decentralized decision mode and the centralized operation mode, the analytic solutions in the decentralized decision mode and the centralized operation mode are solved respectively, and the field data of the multi-energy complementary comprehensive energy base are investigated. Comprehensive pricing of the multi-energy complementary energy system is completed by five steps of determining an optimal pricing strategy in combination with actual conditions and applying the determined optimal pricing strategy to operation of the multi-energy complementary energy system, and optimal operation strategies in different operation modes are realized by considering constraints, benefits and objective functions of different operation modes. The benefit conflict of all parties of the multi-energy complementary energy system is solved, and the construction and long-term efficient operation of a large-scale multi-energy complementary energy base are supported while the consumption of renewable energy sources is promoted.
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Description

Technical Field

[0001] The present invention belongs to the technical field of optimized operation of integrated energy systems, and specifically relates to a comprehensive pricing method, device, terminal and storage medium for a multi-energy complementary energy system. Background Art

[0002] The integration of source, grid, load and storage and the development of multi-energy complementarity are the inherent requirements of the power industry to adhere to the system concept, the objective need to achieve high-quality development of the power system, and the inevitable choice to improve the level of renewable energy development and consumption and the proportion of non-fossil energy consumption. At present, theoretical research and practical experience on the development and operation of multi-energy complementarity at home and abroad show that the multi-energy complementary energy system combines multiple energy types to form a complementary energy system and achieves efficient and sustainable operation. It is foreseeable that the power generation system under the multi-energy complementary mode will break the balance of interests between the original subjects. In order to ensure the advancement of the multi-energy complementary system, it is necessary to empirically study the operation mode of the base, analyze the business strategy, and coordinate with a reasonable profit distribution mechanism to optimize the synergy and interest conflicts of multiple energy sources. At present, it is very important to coordinate and optimize the energy synergy and interest conflicts on both the supply and demand sides of the multi-energy complementary energy system, improve the overall economic efficiency of the system, and establish a fair, reasonable and transparent interest sharing mechanism. Summary of the invention

[0003] The present invention provides a comprehensive pricing method, device, terminal and storage medium for a multi-energy complementary energy system, with the aim of providing a method that can solve the problems faced in the development and promotion of renewable energy, such as weak regulation performance, interest distribution and coordinated development of a multi-energy complementary comprehensive energy system, realize local consumption of renewable energy, reduce system peak load pressure, explore the optimal grid-connected consumption mode for renewable energy, and the construction and long-term efficient operation of a multi-energy complementary comprehensive energy base.

[0004] To achieve the above object, the technical solution adopted by the present invention is: A comprehensive pricing method for a multi-energy complementary energy system comprises the following steps: Establish pricing models; Model pricing under different operating modes; different operating modes include decentralized decision-making mode and integrated energy base centralized operation mode; The specific pricing modeling of the decentralized decision-making model is as follows: Assumption: In an electricity trading period Within the period, the average transaction price of base hydropower, wind power and photovoltaic power generation, the potential power transaction demand scale and the current power transaction scale satisfy the following relationship:

[0005] in: is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; The current electricity transaction volume, unit: 100 million KWh; Assume that the total capacity of the service base and power grid to be provided by pumped storage in the current period is , unit: MW, then the actual power generation of the base's hydropower, wind power, and photovoltaic power is

[0006] in: The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; In the decentralized decision-making mode, the power transaction order is completed by the pumped storage project, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the pumped hydropower price; the power transaction order is met by direct access to the grid, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the transaction price; then the income function of the base hydropower, wind power, and photovoltaic power in the current period is for

[0007] in, Indicates the price of “Green Certificate”, unit: RMB / MWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; The pumped hydropower price for pumped storage services is in yuan / MWh; is the reserve unit capacity price, in yuan / MWh; Assuming that when the pumped storage project serves the grid, the price of grid-connected electricity is , in RMB / MWh, and assuming that the proportion of the pumped storage regulation capacity actually used by the grid accounts for the service capacity provided by the pumped storage project to the grid. , , the benefits of integrated energy projects H(t), The current grid-connected revenue function of the pumped storage project is for

[0008] in, is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; Therefore, the benefits and objective functions of the base in the decentralized operation mode are obtained; Under the decentralized operation model, the goals of each entity in the integrated energy base are to achieve and ; Under the centralized operation mode of the integrated energy base, each project in the base pursues the maximization of joint benefits. Based on the modeling assumptions under the decentralized operation mode, it can be seen that under the centralized operation mode, the current base joint benefit function is for:

[0009] in: The current electricity transaction volume, unit: 100 million KWh; is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; is the reserve unit capacity price, in yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; Indicates the price of “Green Certificate”, unit: RMB / MWh; Under the centralized operation model, the goal of the integrated energy base is ; The method to find the analytical solution of the decentralized decision-making model is as follows, The decision variables are and ,Depend on

[0010] and It is always established and known that If and only if the following is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the decentralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the decentralized operation mode;

[0011] If the above equation holds, the simultaneous functions take the extreme value condition and , in order to simplify the expression and let: , the equilibrium solution under the decentralized operation mode of the integrated energy base can be obtained and for

[0012] in: is the revenue function of the hydropower, wind power and photovoltaic parts of the base in the current period; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; is the grid-connected revenue function of the current pumped storage project; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; Indicates the price of “Green Certificate”, unit: RMB / MWh; The current period’s comprehensive energy project income, in 100 million yuan; is the reserve unit capacity price, in yuan / MWh; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; is the equilibrium solution of the capacity scale of pumped storage put into operation in the current period, unit MW; It is the equilibrium solution of the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, in Yuan / MWh.

[0013] Find analytical solutions for different operating modes; Investigate the field data of multi-energy complementary integrated energy base; Determine the optimal pricing strategy based on actual conditions; The determined optimal pricing strategy is applied to the operation of multi-energy complementary energy systems.

[0014] The method to solve the analytical solution under the centralized operation mode of the integrated energy base is as follows: Depend on and It is always established and known that If and only if the above is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the centralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the centralized operation mode; To simplify the expression, take

[0015]

[0016] If the above equation holds, the simultaneous functions take the extreme value condition and , the equilibrium solution of the integrated energy base under the centralized operation mode can be obtained and for

[0017] in: It is the proportion of the pumped storage regulation capacity actually used by the power grid to the service capacity provided by the pumped storage project to the power grid. ; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It is the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, unit: Yuan / MWh.

[0018] The field data of the surveyed multi-energy complementary integrated energy base include the installed capacity, unit power generation cost, unit capacity electricity price, pumped electricity price, potential market transaction scale, elasticity coefficient and risk coefficient of the water, wind, solar and pumped storage power generation projects of the base during the current operation period.

[0019] The method of determining the optimal pricing strategy in combination with actual conditions is to analyze the equilibrium solutions of decision variables under different operation modes and to regulate the actual comprehensive energy base power generation projects participating in the power market quotation.

[0020] A comprehensive pricing device for a multi-energy complementary energy system, the device comprising: The first building block is used to build a pricing model under a decentralized decision-making model; The second building block is used to build a pricing model under a centralized operation model; The first analytical solution module is used to solve the analytical solution under the centralized operation mode to obtain the equilibrium solution of the comprehensive energy base under the centralized operation mode; The second analytical solution module is used to solve the analytical solution of the decentralized decision-making mode and obtain the equilibrium solution of the integrated energy base under the decentralized decision-making mode; The storage module is used to store the field survey data of the multi-energy complementary integrated energy base.

[0021] A terminal comprises a memory, a processor and a program for solving the comprehensive pricing of a multi-energy complementary energy system which is stored in the memory and can be run on the processor. When the program for solving the comprehensive pricing of the multi-energy complementary energy system is executed by the processor, the steps of a method for solving the comprehensive pricing of the multi-energy complementary energy system are implemented.

[0022] A computer-readable storage medium stores a computer program, which is executed to implement the steps of a comprehensive pricing method for a multi-energy complementary energy system.

[0023] Beneficial effects: (1) The present invention uses different operation modes and game analysis of the integrated energy base to maximize the benefits of each part when in a decentralized operation mode, and to maximize the joint benefits when in a centralized operation mode.

[0024] (2) The present invention obtains corresponding analytical solutions according to different operation modes, that is, obtains the optimal strategy under different operation modes, resolves the conflict of interests among various parties in the multi-energy complementary energy system, promotes the consumption of renewable energy, and supports the construction and long-term efficient operation of large-scale multi-energy complementary energy bases.

[0025] (3) The present invention realizes the on-site consumption of renewable energy and reduces the peak load regulation pressure of the system.

[0026] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required to be used in the embodiments are briefly introduced below.

[0028] Figure 1 It is a flow chart of the present invention.

[0029] Figure 2 It is a structural schematic diagram of the comprehensive pricing device of the multi-energy complementary energy system in the present invention.

[0030] Figure 3 It is a schematic diagram of the structure of the terminal in the present invention.

[0031] Figure 4 The computer-readable storage medium in the embodiment of the present invention is a structural schematic diagram.

[0032] In the figure: 1. Integrated pricing device for multi-energy complementary energy system; 11. First building module; 12. Second building module; 13. First analytical solution module; 14. Second analytical solution module; 15. Storage module; 2. Optical disk; 3. Terminal; 31. Memory; 311. Random access memory; 312. Cache memory; 313. ROM; 314. Program module; 315. Program / utility; 32. Processor; 33. Communication interface; 34. External device; 35. Network adapter. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Embodiment 1: According to Figure 1 A comprehensive pricing method for a multi-energy complementary energy system is shown, comprising the following steps: Step 1: Establish a pricing model; Model pricing under different operating models; Different operating modes include decentralized decision-making mode and centralized operation mode of integrated energy base.

[0035] Furthermore, the specific pricing modeling of the decentralized decision-making model is as follows: Assumption: In an electricity trading period Within the period, the average transaction price of base hydropower, wind power and photovoltaic power generation, the potential power transaction demand scale and the current power transaction scale satisfy the following relationship:

[0036] in: is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; The current electricity transaction volume, unit: 100 million KWh; Assume that the total capacity of the service base and power grid to be provided by pumped storage in the current period is , unit: MW, then the actual power generation of the base's hydropower, wind power, and photovoltaic power is

[0037] in: The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; In the decentralized decision-making mode, the power transaction order is completed by the pumped storage project, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the pumped hydropower price; the power transaction order is met by direct access to the grid, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the transaction price; then the income function of the base hydropower, wind power, and photovoltaic power in the current period is for

[0038] in, Indicates the price of “Green Certificate”, unit: RMB / MWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; The pumped hydropower price for pumped storage services is in yuan / MWh; is the reserve unit capacity price, in yuan / MWh; Assuming that when the pumped storage project serves the grid, the price of grid-connected electricity is , in RMB / MWh, and assuming that the proportion of the pumped storage regulation capacity actually used by the grid accounts for the service capacity provided by the pumped storage project to the grid. , , the benefits of integrated energy projects H(t), The current grid-connected revenue function of the pumped storage project is for

[0039] in, is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; Therefore, the benefits and objective functions of the base in the decentralized operation mode are obtained; Under the decentralized operation model, the goals of each entity in the integrated energy base are to achieve and .

[0040] The specific modeling method of the centralized operation mode of the integrated energy base is as follows: Under the centralized operation mode of the integrated energy base, each project in the base pursues the maximization of joint benefits. Based on the modeling assumptions under the decentralized operation mode, it can be seen that under the centralized operation mode, the current base joint benefit function is for:

[0041] in: The current electricity transaction volume, unit: 100 million KWh; is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; is the reserve unit capacity price, in yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; Indicates the price of “Green Certificate”, unit: RMB / MWh; Under the centralized operation model, the goal of the integrated energy base is .

[0042] Find analytical solutions for different operating modes; Investigate the field data of multi-energy complementary integrated energy base; Determine the optimal pricing strategy based on actual conditions; The determined optimal pricing strategy is applied to the operation of multi-energy complementary energy systems.

[0043] Furthermore, the method for solving the analytical solution of the decentralized decision-making model is as follows, The decision variables are and ,Depend on

[0044] and It is always established and known that If and only if the following is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the decentralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the decentralized operation mode;

[0045] If the above equation holds, the simultaneous functions take the extreme value condition and , in order to simplify the expression and let: , the equilibrium solution under the decentralized operation mode of the integrated energy base can be obtained and for

[0046] in: is the revenue function of the hydropower, wind power and photovoltaic parts of the base in the current period; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; is the grid-connected revenue function of the current pumped storage project; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; Indicates the price of “Green Certificate”, unit: RMB / MWh; The current period’s comprehensive energy project income, in 100 million yuan; is the reserve unit capacity price, in yuan / MWh; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; is the equilibrium solution of the capacity scale of pumped storage put into operation in the current period, unit MW; It is the equilibrium solution of the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, in Yuan / MWh.

[0047] The method to solve the analytical solution under the centralized operation mode of the integrated energy base is as follows: Depend on and It is always established and known that If and only if the above is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the centralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the centralized operation mode; To simplify the expression, take

[0048]

[0049] If the above equation holds, the simultaneous functions take the extreme value condition and , the equilibrium solution of the integrated energy base under the centralized operation mode can be obtained and for

[0050] in: It is the proportion of the pumped storage regulation capacity actually used by the power grid to the service capacity provided by the pumped storage project to the power grid. ; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It is the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, unit: Yuan / MWh.

[0051] Furthermore, the field data of the multi-energy complementary integrated energy base investigated include the installed capacity, unit power generation cost, unit capacity electricity price, pumped electricity price, potential market transaction scale, elasticity coefficient and risk coefficient of the water, wind, solar and pumped storage power generation projects in the current operating period of the base.

[0052] Furthermore, the method to determine the optimal pricing strategy based on actual conditions is to analyze the equilibrium solutions of decision variables under different operation modes and regulate the actual comprehensive energy base power generation projects participating in the electricity market quotation.

[0053] The present invention solves the problems faced in the development and promotion of renewable energy, such as weak regulation performance, interest distribution and coordinated development of multi-energy complementary integrated energy systems, realizes the on-site consumption of renewable energy, reduces the peak-shaving pressure of the system, explores the optimal grid-connected consumption mode of renewable energy and the construction and long-term efficient operation of multi-energy complementary integrated energy bases.

[0054] The "green certificate" in this embodiment, whose full name is green electricity certificate, is an electronic certificate with a unique identification code issued by the state to power generation enterprises for every megawatt-hour of renewable energy grid-connected electricity. It is the confirmation and attribute proof of renewable energy power generation and the only certificate for consuming green electricity. The buyers of green certificate transactions are mainly enterprises that need to have carbon emission reduction indicators. According to the current green certificate trading rules, 1 green certificate corresponds to 1 megawatt-hour of renewable energy power generation.

[0055] In actual use, considering that there may be conflicts between capacity negotiation and dispatch execution in pumped storage serving the power grid, which may lead to the smoothness of grid connection of pumped storage and base-related projects, Parameters indicating that the base pumped storage project serving the power grid can reduce this type of risk.

[0056] The ultimate goal of the quotation strategy obtained by the present invention is to achieve a balanced solution with the maximum profit under different operating conditions.

[0057] In one embodiment, based on the comprehensive pricing method of a multi-energy complementary energy system, the present invention also provides a comprehensive pricing device 1 for a multi-energy complementary energy system. Figure 2 As shown, including: The first building module 11 is used to build a pricing model in a decentralized decision-making mode; The second building module 12 is used to build a pricing model under the centralized operation mode; The first analytical solution module 13 is used to solve the analytical solution in the centralized operation mode to obtain the equilibrium solution of the comprehensive energy base in the centralized operation mode; The second analytical solution module 14 is used to solve the analytical solution of the decentralized decision-making mode to obtain the equilibrium solution of the comprehensive energy base under the decentralized decision-making mode; The storage module 15 is used to store the field survey data of the multi-energy complementary integrated energy base.

[0058] Based on the above embodiments, the present invention further provides a computer readable storage medium, referring to Figure 4 The computer-readable storage medium is a CD-ROM 2, on which a computer program (i.e., a program product) is stored. When the computer program is executed by the processor, each step recorded in the implementation method of the comprehensive pricing method of the multi-energy complementary energy system is implemented, for example, pricing modeling is performed under different operation modes; analytical solutions for different operation modes are solved, etc. The specific implementation method of each step is not repeated here.

[0059] Figure 3 A schematic diagram of the structure of a terminal provided in an embodiment of the present application, wherein the terminal 3 may include a memory 31, a processor 32, and a solution program for comprehensive pricing of a multi-energy complementary energy system stored in the memory 31 and executable on the processor 32.

[0060] When the processor 32 executes the program, the comprehensive pricing method for the multi-energy complementary energy system provided in the above embodiment is implemented.

[0061] Furthermore, the terminal 3 also includes: The communication interface 33 is used for communication between the memory 31 and the processor 32 .

[0062] The memory 31 is used to store computer programs that can be run on the processor 32 .

[0063] The memory 31 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 311 and / or cache memory 312. The terminal 3 may further include other removable / non-removable, volatile / non-volatile computer system storage media. The ROM 313 may be used to read and write non-removable, non-volatile magnetic media, commonly referred to as a "hard drive", which is not stored in the computer system. Figure 3 It is shown in Figure 3As shown in the figure, a disk drive for reading and writing a removable non-volatile disk, such as a "floppy disk", and an optical disk drive for reading and writing a removable non-volatile optical disk (such as a CD-ROM, DVD-ROM or other optical medium) can be provided. In these cases, each drive can be connected via one or more communication interfaces 33. The memory 31 may include at least one program product, which has a set (e.g., at least one) of program modules, which are configured to perform the functions of each embodiment of the present application.

[0064] A program / utility 315 having a set (at least one) of program modules 314 may be stored in, for example, the system memory 31, and such program modules 314 include, but are not limited to: an operating system, one or more application programs, other program modules, and program data, each of which or some combination may include an implementation of a network environment. The program modules 314 generally perform the functions and / or methods of the embodiments described herein.

[0065] The terminal 3 may also communicate with one or more external devices 34 (e.g., keyboard, pointing device, display, etc.). Such communication may be performed via an input / output (I / O) communication interface 33. Furthermore, the terminal 3 may also communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network, such as the Internet) via a network adapter 35.

[0066] It should be noted that examples of the computer-readable storage medium may also include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other optical or magnetic storage media, which are not listed here one by one.

[0067] Example 2: Taking the survey data of a comprehensive energy base on the spot as an example, the basic settings of the relevant parameters are as follows: the unit capacity electricity fee paid to the pumped storage project is 601.2 yuan / MWh, the pumped electricity price is 215.5 yuan / MWh, the potential market transaction scale is 20 billion kWh (this value only reflects the market's intention to purchase the power of the power station if the power station quotes 0 electricity price for a long time, and has nothing to do with the power generation capacity of the power station. Obviously, it is impossible for the power station to quote 0 electricity price for a long time), the elasticity coefficient of the average electricity selling price of the comprehensive energy base is (that is, considering that the average electricity selling price of the comprehensive energy base is set to 550 yuan / MWh, it will lose all market electricity orders), and the risk coefficient and Set as and . The average annual kilowatt-hour production cost of the hydropower, wind power and photovoltaic integrated power generation projects of the comprehensive energy base is set at 350 yuan / MWh, and the average annual kilowatt-hour production cost of the pumped storage power generation project is considered to be 400 yuan / MWh, and the annual utilization hours of the pumped storage input capacity is taken as 1500 hours. The comprehensive energy base meets the conditions for the approval of green power certificates. In addition to settling its power value in the power market, it should also settle the green power environmental value in accordance with the "Notice on Doing a Good Job in Full Coverage of Renewable Energy Green Power Certificates for Renewable Energy Power Consumption" (Development and Reform Energy

[2023] No. 1044) and "Beijing Power Exchange Center Green Power Trading Implementation Rules (Revised Draft)" (Beijing Electric Power Exchange

[2023] No. 44) policies. According to the relevant calculation results of the Economic and Technological Research Institute of State Grid Anhui Electric Power Co., Ltd., the environmental value of China's green power is set at 40 yuan / MWh. The proportion of the capacity of the power grid actually using pumped storage services to the capacity provided to the power grid by the pumped storage power station is set at 90%.

[0068] The power market quotation strategy for the power generation project under different scenarios is calculated and obtained, as shown in the following table: Table 1 Quotation strategies for power generation projects under different operating scenarios of a comprehensive energy base

[0069] In the absence of conflicts, technicians in this field can combine the relevant technical features in the above examples according to actual conditions to achieve corresponding technical effects. The specific combinations are not described here one by one.

[0070] The above are only preferred embodiments of the present invention. The present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features disclosed herein. Any simple modification, equivalent changes and modifications made to the above embodiments according to the technical essence of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A comprehensive pricing method for a multi-energy complementary energy system, characterized by: The following steps are included: Establish pricing models; Model pricing under different operating modes; different operating modes include decentralized decision-making mode and integrated energy base centralized operation mode; The specific pricing modeling of the decentralized decision-making model is as follows: Assumption: In an electricity trading period Within the period, the average transaction price of base hydropower, wind power and photovoltaic power generation, the potential power transaction demand scale and the current power transaction scale satisfy the following relationship: in: is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; The current electricity transaction volume, unit: 100 million KWh; Assume that the total capacity of the service base and power grid to be provided by pumped storage in the current period is , unit: MW, then the actual power generation of the base's hydropower, wind power, and photovoltaic power is in: The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; In the decentralized decision-making mode, the power transaction order is completed by the pumped storage project, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the pumped hydropower price; the power transaction order is met by direct access to the grid, and the per-kilowatt-hour income of the base hydropower, wind power, and photovoltaic power is the transaction price; then the income function of the base hydropower, wind power, and photovoltaic power in the current period is for in, Indicates the price of "Green Certificate", unit: Yuan / MWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; The pumped hydropower price for pumped storage services is in yuan / MWh; is the reserve unit capacity price, in yuan / MWh; Assuming that when the pumped storage project serves the grid, the price of grid-connected electricity is , in RMB / MWh, and assuming that the proportion of the pumped storage regulation capacity actually used by the grid accounts for the service capacity provided by the pumped storage project to the grid. , , the benefits of integrated energy projects H(t), The current grid-connected revenue function of the pumped storage project is for in, is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; Therefore, the benefits and objective functions of the base in the decentralized operation mode are obtained; Under the decentralized operation model, the goals of each entity in the integrated energy base are to achieve and ; Under the centralized operation mode of the integrated energy base, each project in the base pursues the maximization of joint benefits. Based on the modeling assumptions under the decentralized operation mode, it can be seen that under the centralized operation mode, the current base joint benefit function is for: in: The current electricity transaction volume, unit: 100 million KWh; is the average transaction price of hydropower, wind power and photovoltaic power generation at the base, in yuan / MWh; The actual power generation of hydropower, wind power and photovoltaic power in the base during the current period, in units of 100 million KWh; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; The current period’s comprehensive energy project income, in 100 million yuan; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; is the reserve unit capacity price, in yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; Indicates the price of "Green Certificate", unit: Yuan / MWh; Under the centralized operation model, the goal of the integrated energy base is ; Find analytical solutions for different operating modes; Investigate the field data of multi-energy complementary integrated energy base; Determine the optimal pricing strategy based on actual conditions; The determined optimal pricing strategy is applied to the operation of multi-energy complementary energy systems.

2. The comprehensive pricing method for a multi-energy complementary energy system according to claim 1, characterized in that: The method to find the analytical solution of the decentralized decision-making model is as follows, The decision variables are and ,Depend on and It is always established and known that If and only if the following is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the decentralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the decentralized operation mode; If the above equation holds, the simultaneous functions take the extreme value condition and , in order to simplify the expression and let: , the equilibrium solution under the decentralized operation mode of the integrated energy base can be obtained and for in: is the revenue function of the hydropower, wind power and photovoltaic parts of the base in the current period; The average price reported by hydropower, wind power and solar power generation units in the electricity market during the current period, unit: RMB / MWh; The total capacity of the service base and power grid to be provided by the current pumped storage, unit: MW; is the grid-connected revenue function of the current pumped storage project; The demand for pumped storage services proposed by the current base hydropower, wind power and photovoltaic power accounts for The proportion of capacity, , dimensionless; It represents the risk parameter of reducing default of power market orders for hydropower, wind power and photovoltaic projects by pumped storage service base, dimensionless; It is the smoothness coefficient of the power grid served by the base pumped storage project, dimensionless; The proportion of the pumped storage regulation capacity actually used by the grid to the service capacity provided by the pumped storage project to the grid; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It represents the average cost of hydropower, wind power and photovoltaic power generation in the current period, which is the weighted average of electricity; unit: RMB / MWh; Indicates the price of "Green Certificate", unit: Yuan / MWh; The current period’s comprehensive energy project income, in 100 million yuan; is the reserve unit capacity price, in yuan / MWh; is the unit power generation cost of the pumped storage project, unit: yuan / MWh; The pumped hydropower price for pumped storage services is in yuan / MWh; When the pumped storage project serves the grid, the price of grid-connected electricity, in yuan / MWh; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; is the equilibrium solution of the capacity scale of pumped storage put into operation in the current period, unit MW; It is the equilibrium solution of the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, in Yuan / MWh.

3. The comprehensive pricing method for a multi-energy complementary energy system according to claim 1, characterized in that: The method to solve the analytical solution under the centralized operation mode of the integrated energy base is as follows: Reason sum It is always established and known that If and only if the above is true, , so that and At the same time, it is established; that is, only when the decision-making subject observes that the value of the proposed decision variable and the value of the system exogenous parameter meet the conditions, the different power generation units in the integrated energy base can find the optimal strategy under the centralized operation mode. The following formula is a necessary condition for the existence of the optimal strategy solution under the centralized operation mode; To simplify the expression, take If the above equation holds, the simultaneous functions take the extreme value condition and , the equilibrium solution of the integrated energy base under the centralized operation mode can be obtained and for in: It is the proportion of the pumped storage regulation capacity actually used by the power grid to the service capacity provided by the pumped storage project to the power grid. ; The potential power trading demand scale is the transaction scale corresponding to the zero electricity price, in units of 100 million KWh; It is the elastic parameter of the price reported by the user side for the power generation side transaction, dimensionless; It is the average price reported by hydro, wind and solar power generation units in the electricity market during the current period, unit: Yuan / MWh.

4. The comprehensive pricing method for a multi-energy complementary energy system according to claim 1, characterized in that: The field data of the surveyed multi-energy complementary integrated energy base include the installed capacity, unit power generation cost, unit capacity electricity price, pumped electricity price, potential market transaction scale, elasticity coefficient and risk coefficient of the water, wind, solar and pumped storage power generation projects of the base during the current operation period.

5. The comprehensive pricing method for a multi-energy complementary energy system according to claim 1, characterized in that: The method of determining the optimal pricing strategy in combination with actual conditions is to analyze the equilibrium solutions of decision variables under different operation modes and to regulate the actual comprehensive energy base power generation projects participating in the power market quotation.

6. A comprehensive pricing device for a multi-energy complementary energy system, characterized in that: The device comprises: The first building block (11) is used to build a pricing model in a decentralized decision-making mode; The second building block (12) is used to build a pricing model under a centralized operation model; A first analytical solution module (13) is used to solve the analytical solution under the centralized operation mode to obtain the equilibrium solution of the comprehensive energy base under the centralized operation mode; A second analytical solution module (14) is used to solve the analytical solution of the decentralized decision-making mode to obtain the equilibrium solution of the comprehensive energy base under the decentralized decision-making mode; The storage module (15) is used to store the field survey data of the multi-energy complementary integrated energy base.

7. A terminal, characterized in that: The invention comprises a memory, a processor and a solution program for comprehensive pricing of a multi-energy complementary energy system which is stored in the memory and can be run on the processor. When the solution program for comprehensive pricing of the multi-energy complementary energy system is executed by the processor, the steps of the comprehensive pricing method for the multi-energy complementary energy system as described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed to implement the steps of the comprehensive pricing method for a multi-energy complementary energy system as described in any one of claims 1-5.