Cost benefit calculation optimization method and system for participation of new energy storage in bilateral transaction

Abstract

The invention discloses a cost profit calculation optimization method and system for participation of new energy storage in bilateral transaction. The method comprises the steps of constructing a transaction model; based on the obtained transaction model, determining cost functions of different market subjects, and listing constraint conditions; and based on the obtained cost function and constraint conditions, solving the constructed transaction model to obtain an optimal output plan of new energy, thermal power and stored energy in bilateral transaction with sending-out section limitation, and measuring and calculating income conditions of various subjects. According to the method, the cost-income optimization of the bilateral transaction of the new energy, the energy storage and the thermal power under the condition of sending section constraint is determined, the new energy consumption is effectively improved, and the method has important significance in improving the income of a new energy station and promoting high-proportion new energy to participate in marketization transaction.

Description

Technical Field

[0001] The present invention belongs to the technical field of new energy and energy storage transactions, and specifically relates to a cost-benefit calculation optimization method and system for new energy energy storage participating in bilateral transactions. Background Art

[0002] As typical representatives of clean and renewable energy, the development and utilization of wind and solar energy are of great significance for reducing greenhouse gas emissions and achieving sustainable energy development. At present, wind power and photovoltaic power are developing rapidly. By the end of 2023, the total installed capacity of power generation in China will be about 2.92 billion kilowatts, a year-on-year increase of 13.9%. Among them, the installed capacity of solar power generation is about 610 million kilowatts, a year-on-year increase of 55.2%; the installed capacity of wind power is about 440 million kilowatts, a year-on-year increase of 20.7%. A high proportion of new energy units enter the power grid through a high proportion of power electronic equipment, forming a new power system with "double high" characteristics. The resulting synchronous stability technology foundation has undergone major changes, and the power system faces security challenges of uncertainty, volatility and randomness. On the one hand, the power output of traditional generators can be continuously and stably controlled, while new energy power generation is affected by external factors such as seasonal changes and weather conditions. Therefore, its output power shows weak controllability and high uncertainty, and has the characteristics of volatility, randomness and intermittency. Its operating characteristics have changed significantly, and the phenomenon of "abandoning wind and light" has occurred. The rapid development of new energy storage resource technologies represented by electrochemical energy storage can quickly respond to grid regulation needs due to its unique fast and flexible regulation performance, becoming an effective way to improve the overall regulation capacity of the power system and ensure the safe operation of the power system. The effective combination of new energy and energy storage has a dual impact on the stability and economy of the power system.

[0003] Since renewable energy power generation is often located in remote areas with low local electricity demand, there are power restrictions on the transmission section when it is sent to places with high electricity demand. Since the marginal cost of renewable energy power generation is low, and the output of renewable energy is uncertain, volatile and random, it is necessary to combine a certain proportion of energy storage. When there is a surplus of wind power and photovoltaic power at low load, the energy storage is charged. When the output of wind power and photovoltaic power is low at peak load, the energy storage is discharged. The cost of thermal power is mostly fuel, and the marginal cost is relatively high. Therefore, it is necessary to coordinate the transmission ratio of local renewable energy, thermal power and energy storage to ensure the efficient use of renewable energy. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a cost-benefit calculation optimization method and system for new energy energy storage participating in bilateral transactions in response to the deficiencies in the above-mentioned prior art, which is used to solve the technical problem of how to reasonably allocate new energy and energy storage resources to improve the absorption capacity of new energy while ensuring the safe and stable operation of the power grid.

[0005] The present invention adopts the following technical solutions: A cost-benefit calculation optimization method for new energy storage participating in bilateral transactions includes the following steps: S1. Build a transaction model; S2. Based on the transaction model obtained in step S1, determine the cost functions of different market players and list the constraints; S3. Based on the cost function and constraints obtained in step S2, the constructed transaction model is solved to obtain the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and the benefits of various entities are calculated.

[0006] Preferably, the objective function of the transaction model is expressed as:

[0007] in, is the revenue of renewable energy generation during period t, is the revenue of thermal power generation during period t, is the revenue of energy storage and power transmission during period t, is the total cost during period t, is the negotiated electricity price, is the cost of renewable energy generation during period t, is the cost of thermal power generation during period t, is the cost of energy storage during period t, and the demand is , The cost of energy storage.

[0008] Preferably, the amount of electricity allocated to thermal power transmission is expressed as:

[0009] in, is the amount of electricity allocated to renewable energy during period t, is the amount of electricity allocated to thermal power transmission during period t, It is the amount of electricity allocated to energy storage for power transmission during period t.

[0010] Preferably, the cost of energy storage is expressed as:

[0011] in, is the energy storage life loss cost, is the amount of electricity charged into the energy storage by thermal power at time t, yes, is the electricity price of renewable energy charged into energy storage at time t, is the amount of energy stored and charged at time t, is the cost of storing new energy in energy storage, is the cost of storing thermal power in energy storage; The cost of renewable energy generation is expressed as:

[0012] in, Maintenance rates for renewable energy power plants; For the initial investment of renewable energy power plants; The power allocated to renewable energy power plants; for the year of the renewable energy power plant; Thermal power generation cost for:

[0013] in, is the unit fixed cost, is the unit variable cost, The fixed cost is allocated according to the proportion of unit capacity, and the variable cost is allocated according to the proportion of grid-connected electricity.

[0014] Preferably, the lifetime depreciation cost of energy storage for:

[0015] Among them, C op is the energy storage life loss coefficient, , are the energy storage charging and discharging power in period t, It is the unit time.

[0016] Preferably, the bidding strategy for energy storage is expressed as:

[0017] in, Bidding strategies for energy storage providers; These are the electricity purchase prices of energy storage companies in three ranges; The three power selling prices of energy storage companies are divided into three areas: , Represents the state of charge at time t.

[0018] Preferably, setting It is a period of power shortage, during which the capacity of energy storage is relatively sufficient; In The scope is the parity period, at which time the purchase price and selling price of energy storage companies are at parity; This is a period of sufficient electricity, during which energy storage companies reduce their purchase and selling prices.

[0019] Preferably, the battery energy storage system constraints:

[0020] in, and are the maximum allowable charging and discharging power of the battery energy storage system, respectively; is the charge state variable of the g-th battery in the t-th period; is the discharge state variable of the g-th battery in the t-th time period; G is the number of batteries.

[0021] Preferably, the bidding strategy of the new energy power generator is expressed as:

[0022] in, is the quotation of the new energy power generator at time t; and The winning bid power and actual output of the new energy power generator at time t; is the fixed unit price and offset price coefficient generated by maintenance costs; the latter term represents the unit price of unbalanced costs generated when the bid power of new energy is not equal to the actual output.

[0023] Preferably, the output constraint of the thermal power unit is expressed as:

[0024] in, Indicates j The minimum output of the thermal power unit; Indicates j The maximum output of the thermal power units; The climbing constraint of thermal power unit is expressed as:

[0025]

[0026] in, Indicates the downward ramp rate of the thermal power unit, MW / min; Indicates the upward climbing rate of the thermal power unit; express t- Output of thermal power units at 1 moment; The minimum start and stop time constraint of thermal power units is expressed as:

[0027]

[0028] in, Indicates the continuous operation time of thermal power units; Indicates the minimum operating time of thermal power units; Indicates the shutdown time of thermal power units; Indicates the minimum shutdown time of thermal power units.

[0029] Preferably, the bidding strategy for thermal power includes: Capacity strategy is used to divide the unit output of power generators into four intervals: The first interval is [0, Q1], where Q1 represents safe and stable operation, and the minimum output is 30% to 40% of the installed capacity; The second interval is [Q1, Q2], where Q2 represents the unit operating under relatively low power conditions, and the output value is 50% of the rated output; The third interval is [Q2, Q3], where Q3 represents the average output of the unit at design time, and Q3 is 70% of the rated output; The fourth interval is [Q3, Q4], where Q4 represents the maximum output of the unit under the premise of ensuring safety, and the output value is 90% of the rated output; The pricing strategies are: Basic load ladder [0, C1], C1 is the unit variable cost; Operation balance ladder [C1, C2], C2 is the total unit cost; Break-even ladder [C2, C3], C3 is the current benchmark electricity price; Initial revenue ladder [C3, C4], C4 is the initial spillover electricity price; Excess profit ladder [C4, C5], C5 is the excess overflow electricity price.

[0030] Preferably, the benefit of energy storage is expressed as:

[0031] in, is the benefit of energy storage at time t, is the cost of energy storage at time t, is the amount of electricity allocated to energy storage for power transmission during period t, is the lifetime depreciation cost of energy storage, The cost of storing energy for new energy sources, The cost of storing energy for thermal power, is the unit price of thermal power stored in energy storage per unit time, is the unit price of storing new energy into energy storage per unit time; The benefits of new energy are expressed as:

[0032] in, is the revenue of renewable energy power generation during period t, is the cost of renewable energy generation in period t, is the amount of electricity allocated to renewable energy during period t, For the cost of new energy, is the unit price of storing new energy in energy storage per unit time, The amount of electricity stored in energy storage by renewable energy per unit time; The revenue of thermal power is expressed as:

[0033] in, is the revenue of thermal power during period t, is the cost of thermal power during period t, To clear the electricity price, is the amount of electricity stored in energy storage by thermal power per unit time, is the unit fixed cost of thermal power, is the unit variable cost of thermal power, The unit startup cost.

[0034] In a second aspect, an embodiment of the present invention provides a cost-benefit calculation optimization system for new energy storage participating in bilateral transactions, including: Build modules and construct transaction models; Function module, based on the obtained transaction model, determines the cost functions of different market players and lists the constraints; The optimization module solves the constructed transaction model based on the obtained cost function and constraints, obtains the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and calculates the benefits of various entities.

[0035] In a third aspect, a computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the cost-benefit calculation optimization method for the new energy energy storage participating in bilateral transactions are implemented.

[0036] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned cost-benefit calculation optimization method for new energy storage participating in bilateral transactions.

[0037] In a fifth aspect, a chip comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of the cost-benefit calculation optimization method for new energy energy storage participating in bilateral transactions are implemented.

[0038] In a sixth aspect, an embodiment of the present invention provides an electronic device, including a computer program, which, when executed by the electronic device, implements the steps of the cost-benefit calculation optimization method for the new energy storage participating in bilateral transactions.

[0039] Compared with the prior art, the present invention has at least the following beneficial effects: A cost-benefit calculation optimization method for renewable energy storage participating in bilateral transactions can systematically analyze and solve complex energy trading problems through a step-by-step approach, ensuring that all key factors are taken into account.

[0040] Furthermore, the objective function clearly defines the optimization goal of the model, taking into account maximizing profits, minimizing costs, etc. This helps decision makers understand the ultimate purpose of the model and adjust their strategies accordingly. The ultimate goal is always to maximize profits. The model mainly focuses on maximizing the benefits of thermal power, new energy and energy storage in the power market.

[0041] Furthermore, the relationship between the required power generation of each power generation entity in the model is explained. At the same time, according to the current national requirements, priority should be given to the consumption of electricity from new energy sources, and thermal power plays the role of filling the gap. Therefore, the required power generation per unit time of thermal power is set as the result, which also provides constraints for the calculation of costs and benefits below.

[0042] Furthermore, since the objective function is to maximize revenue, which includes revenue minus cost, cost should be taken into consideration. Rights Book 4 elaborates on the cost calculation methods of thermal power, new energy, and energy storage, which can intuitively see the cost structure, provide decision-making information for power generation companies, select the best solution, and carry out scientific and reasonable policy formulation and management.

[0043] Furthermore, since the objective function is to maximize revenue, the revenue of energy storage comes from the difference between the revenue from selling electricity and the cost of buying and storing electricity, so listing the bidding strategy for energy storage can get the unit price of selling and buying electricity, and thus calculate the revenue. For energy storage companies, through reasonable bidding strategies, they can also more effectively utilize energy storage resources, optimize the resource allocation of the power system, and improve the safety and reliability of system operation.

[0044] Furthermore, the state of charge of energy storage is divided into three regions: Optimize charge and discharge management: By dividing the SOC of energy storage into different areas, the charge and discharge process of the energy storage system can be managed more finely. For example, in the discharge restriction area, the principle of "less discharge and more charge" can be adopted to slow down the rate of SOC decline, while in the charge restriction area, the principle of "less charge and more discharge" can be adopted to slow down the rate of SOC increase, thereby avoiding excessive charge and discharge and extending the service life of energy storage equipment.

[0045] Furthermore, energy storage batteries do not have infinite capacity and charging and discharging speeds. Their charging and discharging speeds are constrained, which will also affect the life of the battery. By setting constraints on the energy storage system, such as rated capacity, rated power, charging and discharging efficiency, etc., it is possible to prevent the energy storage system from being overloaded, help optimize the battery's charging and discharging management, reduce the number and depth of battery cycles, thereby extending the battery's service life, and making the formula more feasible.

[0046] Furthermore, since the objective function is to maximize revenue, the revenue of renewable energy power generation comes from the difference between the revenue from selling electricity and the cost of power generation, the bidding strategy for renewable energy can be listed to obtain the unit price of renewable energy power and the unit cost of power generation, thereby calculating the revenue. For renewable energy power generators, through reasonable bidding strategies, they can also more effectively utilize renewable energy resources, optimize the resource allocation of the power system, and improve the safety and reliability of system operation.

[0047] Furthermore, thermal power units are subject to mechanical / thermal constraints during operation. The output per minute cannot exceed the specified maximum rate of change limit. The constraint setting can prevent the unit from overloading. At the same time, by setting reasonable upper and lower limits of output and climbing constraints, the operation mode of the thermal power unit can be optimized and the operating cost can be reduced.

[0048] Furthermore, since the objective function is to maximize revenue, the revenue of thermal power generation comes from the difference between the revenue from selling electricity and the cost of power generation, listing the bidding strategy of thermal power can obtain the unit price of selling electricity from new energy and the unit cost of power generation, thereby calculating the revenue. For thermal power generators, through reasonable bidding strategies, they can also more effectively utilize non-recyclable resources such as coal, optimize the resource allocation of the power system, and improve the safety and reliability of system operation.

[0049] Furthermore, since the above text describes the cost functions and quotation strategies of thermal power, energy storage, and new energy, the right book 11 is mainly a summary of the above text, combining costs and revenues to calculate the benefits, so as to more intuitively show the profits that each power generation entity can obtain. The initial objective function of the present invention is to maximize the sum of the profits of the three parties. Listing the respective profits here also meets the requirements of the objective function. At the same time, reasonable benefit settings help to form a reasonable price mechanism to ensure fair competition and efficient operation of the market.

[0050] It can be understood that the beneficial effects of the second to sixth aspects mentioned above can be found in the relevant description of the first aspect mentioned above, and will not be repeated here.

[0051] In summary, the present invention determines the optimal cost-benefit method for bilateral transactions of new energy, energy storage, and thermal power under transmission section constraints, effectively increases the consumption of new energy, and is of great significance for increasing the revenue of new energy stations and promoting a high proportion of new energy to participate in market-based transactions.

[0052] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 The load condition of the typical day for 24 hours in the embodiment of the present invention; Figure 2 is the clearing price for 24 hours on the typical day in the embodiment of the present invention; Figure 3 is the proportion of various costs of thermal power generation in the embodiment of the present invention; Figure 4 is the difference between wind power generation and load in the typical day in the embodiment of the present invention; Figure 5 The storage condition of the battery energy storage for 24 hours in the typical day in the embodiment of the present invention; Figure 6 This is the situation of the excess power generation of a wind power plant without energy storage in an embodiment of the present invention; Figure 7 The maximum power generation of a wind power plant with energy storage in an embodiment of the present invention; Figure 8 The output of the thermal power plant in the embodiment of the present invention; Fig. 9 It is a composition diagram of energy storage cost in an embodiment of the present invention; Fig.10 A schematic diagram of a computer device provided by an embodiment of the present invention; Fig.11 A block diagram of a chip provided according to an embodiment of the present invention; Fig.12 It is a schematic diagram of the process of the present invention. DETAILED DESCRIPTION

[0054] 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 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.

[0055] In the description of the present invention, it should be understood that the terms “include” and “comprises” indicate the presence of described features, wholes, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components and / or collections thereof.

[0056] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, unless the context clearly indicates otherwise, the singular forms "a", "an" and "the" are intended to include plural forms.

[0057] It should be further understood that the term "and / or" used in the present specification and the appended claims refers to any combination of one or more of the associated listed items and all possible combinations, and includes these combinations. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present invention generally indicates that the associated objects are in an "or" relationship.

[0058] It should be understood that, although the terms first, second, third, etc. may be used to describe preset ranges, etc. in the embodiments of the present invention, these preset ranges should not be limited to these terms. These terms are only used to distinguish preset ranges from each other. For example, without departing from the scope of the embodiments of the present invention, the first preset range may also be referred to as the second preset range, and similarly, the second preset range may also be referred to as the first preset range.

[0059] The word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining" or "in response to detecting", depending on the context. Similarly, the phrases "if it is determined" or "if (stated condition or event) is detected" may be interpreted as "when it is determined" or "in response to determining" or "when detecting (stated condition or event)" or "in response to detecting (stated condition or event)", depending on the context.

[0060] Various structural schematic diagrams of the embodiments disclosed in the present invention are shown in the accompanying drawings. These figures are not drawn to scale, and some details are magnified and some details may be omitted for the purpose of clear expression. The shapes of various regions and layers shown in the figures and the relative sizes and positional relationships therebetween are only exemplary, and may deviate in practice due to manufacturing tolerances or technical limitations, and those skilled in the art may additionally design regions / layers with different shapes, sizes, and relative positions according to actual needs.

[0061] See also Fig.12The present invention provides a cost-benefit calculation optimization method for new energy storage participating in bilateral transactions, comprising the following steps: S1. Build a transaction model; To adapt to the requirements of large-scale grid-connected and external transmission of renewable energy in local areas, the unit costs of renewable energy, thermal power, and energy storage over the entire life cycle of the system are considered, with the adjustment of the output of renewable energy, thermal power, and energy storage as the optimization goal.

[0062] The objective function of the bilateral transaction involving new energy, thermal power and energy storage is expressed as:

[0063] in, is the revenue of renewable energy generation during period t, is the revenue of thermal power generation during period t, is the revenue of energy storage and power transmission during period t, is the total cost during period t, is the negotiated electricity price, is the cost of renewable energy generation during period t, is the cost of thermal power generation during period t, is the cost of energy storage during period t, and the demand is .

[0064] The amount of electricity allocated to thermal power transmission is expressed as:

[0065] in, is the amount of electricity allocated to renewable energy during period t, is the amount of electricity allocated to thermal power transmission during period t, It is the amount of electricity allocated to energy storage for power transmission during period t.

[0066] Considering the constraints of the delivery section: ; Right now ; Among them, M ys It is the transmission capacity constraint of the sending section.

[0067] The electricity for energy storage comes from electricity generated when the electricity price is cheap, electricity generated by renewable energy and electricity generated by thermal power. When the amount of electricity sent out is limited, it is mainly because of the volatility, randomness and intermittency of renewable energy. Often the time of large-scale renewable energy generation does not match the peak and valley of electricity consumption. Therefore, most of the electricity is from renewable energy. Since the marginal cost of renewable energy electricity is very low, the excess electricity can generate profit as long as it is sold. Therefore, in order to sell the excess electricity and avoid penalties for power abandonment, a low price can be set.

[0068] S2. Based on the transaction model obtained in step S1, determine the cost functions of different market players and list the constraints; The bidding strategy for energy storage is expressed as:

[0069] in, Bidding strategies for energy storage providers; These are the electricity purchase prices of energy storage companies in three ranges; The three power selling prices of energy storage companies are divided into three areas: ,so Represents the state of charge at time t.

[0070] set up During the power shortage period, the energy storage capacity is relatively sufficient, and the energy storage companies hope to purchase more electricity to meet the demand of insufficient output of new energy. At this time, the energy storage companies appropriately increase the purchase and sales prices of electricity to avoid losing "business opportunities" due to their own power shortage.

[0071] In The scope is the parity period, during which energy storage companies can not only obtain "business opportunities" for insufficient output of new energy, but also have the space to purchase excess power from new energy. At this time, the purchase price and selling price of energy storage companies are at parity.

[0072] During the period of sufficient electricity, in order to purchase low-priced excess electricity from new energy sources, energy storage companies appropriately reduce the purchase and selling prices.

[0073] The cost of energy storage is expressed as:

[0074] So we have:

[0075] in, is the energy storage life loss cost, is the amount of electricity charged into the energy storage by thermal power at time t, is the electricity price of thermal power charged into energy storage at time t, is the electricity price of renewable energy charged into energy storage at time t, is the amount of energy stored and charged at time t, It is the amount of electricity from renewable energy charged into energy storage at time t.

[0076] So we have: .

[0077] The amount of abandoned electricity from new energy sources is expressed as:

[0078]

[0079] in, It is the abandoned power of renewable energy in local area i due to section blocking during period t, which is not subject to peak regulation constraints; is the power abandonment caused by insufficient peak load regulation in a local area during period t; is the transmission power of the transmission section in the local area i during period t.

[0080] The life depreciation cost of energy storage is expressed as:

[0081] Among them, C op is the energy storage life loss coefficient, P ch , P dis are the energy storage charging and discharging power during period t respectively.

[0082] Energy storage charging and discharging power P during period t ch , P dis They are:

[0083] Battery energy storage system constraints: The optimization constraints of the battery energy storage system need to consider the charging and discharging power limitations and charge state limitations of the battery energy storage system.

[0084]

[0085] in, and are the maximum allowable charging and discharging power of the battery energy storage system, respectively; is the charge state variable of the g-th battery in the t-th period; is the discharge state variable of the g-th battery in the t-th time period; G is the number of batteries.

[0086] The cost of renewable energy power generation is mainly affected by the investment and operation and maintenance costs of renewable energy power plants. The marginal cost is very low, and the power generation is related to time, weather and other factors.

[0087] The bidding strategy of new energy power generators is expressed as:

[0088] in, is the quotation of the new energy power generator at time t; The winning bid power and actual output of the new energy power generator at time t; the first term of the variable is the fixed unit price generated by the maintenance cost, which is usually slightly higher than the maintenance cost price coefficient in order to pursue profits. The second term is the unit price of the imbalance cost generated when the winning bid power of the new energy is not equal to the actual output, which is composed of the offset price coefficient multiplied by the imbalance power and then divided by the actual power; when the second term is positive, it reflects that the new energy power generator still needs the energy storage company to provide power support, resulting in electricity purchase costs; when the second term is negative, it reflects that the new energy power generator can sell the surplus electricity to the energy storage company and generate electricity sales income.

[0089] The cost of renewable energy generation is expressed as:

[0090] in, Maintenance rates for renewable energy power plants; For the initial investment of renewable energy power plants; The power allocated to renewable energy power plants; For the new energy power plant. The bidding strategy for thermal power is divided into capacity strategy and price strategy.

[0091] The capacity strategy is used to divide the generator output into four intervals: The first interval is [0, Q1], where Q1 represents the minimum output that a thermal power generating unit must ensure for safe and stable operation (generally 30% to 40% of its installed capacity); The second interval is [Q1, Q2], where Q2 represents the unit operating under relatively low power conditions, and the output value is 50% of the rated output; The third interval is [Q2, Q3], where Q3 represents the average output of the unit at design time, and Q3 is 70% of the rated output; The fourth interval is [Q3, Q4], where Q4 represents the maximum output of the unit while ensuring safety, and the output value is 90% of the rated output.

[0092] The pricing strategy is expressed as a 5-level ladder, namely: Basic load ladder [0, C1], C1 is the unit variable cost; Operation balance ladder [C1, C2], C2 is the total unit cost; Break-even ladder [C2, C3], C3 is the current benchmark electricity price; Initial revenue ladder [C3, C4], C4 is the initial spillover electricity price; Excess profit ladder [C4, C5], C5 is the excess overflow electricity price.

[0093] The output constraint of thermal power units is expressed as:

[0094] in, Indicates j Minimum output of thermal power units, MW; Indicates j Maximum output of thermal power units, MW.

[0095] The climbing constraint of thermal power unit is expressed as:

[0096]

[0097] in, Indicates the downward ramp rate of the thermal power unit, MW / min; Indicates the upward ramp rate of the thermal power unit, MW / min; express t- Output of thermal power units at time 1, MW.

[0098] The minimum start and stop time constraint of thermal power units is expressed as:

[0099]

[0100] in, Indicates the continuous operation time of the thermal power unit, min; Indicates the minimum operating time of the thermal power unit, min; Indicates the shutdown time of the thermal power unit, min; Indicates the minimum shutdown time of thermal power units, min.

[0101] The cost of thermal power generation is expressed as:

[0102] in, is the unit fixed cost, is the unit variable cost, The fixed cost is allocated according to the proportion of unit capacity, and the variable cost is allocated according to the proportion of grid-connected electricity.

[0103] Variable costs include fuel costs, external power costs, water costs and power taxes.

[0104]

[0105] in, is the unit fuel cost, The real-time cost of purchased power for the unit. is the real-time cost of water charges per unit, The real-time cost of unit variable tax.

[0106] Fixed costs include depreciation, financial expenses, employee salaries, material costs, repair costs, other expenses, fixed taxes and entrusted operating expenses.

[0107] S3. Based on the cost function and constraints obtained in step S2, the constructed transaction model is solved to obtain the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and the benefits of various entities are calculated.

[0108] The benefits of energy storage are expressed as:

[0109] in, is the benefit of energy storage at time t, is the cost of energy storage at time t, is the amount of electricity allocated to energy storage for power transmission during period t, is the lifetime depreciation cost of energy storage, The cost of storing energy for new energy sources, The cost of storing energy for thermal power, is the unit price of thermal power stored in energy storage per unit time, is the unit price of storing new energy into energy storage per unit time; The benefits of new energy are expressed as:

[0110] in, is the revenue of renewable energy power generation during period t, is the cost of renewable energy generation in period t, is the amount of electricity allocated to renewable energy during period t, For the cost of new energy, is the unit price of storing new energy in energy storage per unit time, The amount of electricity stored in energy storage by renewable energy per unit time; The revenue of thermal power is expressed as:

[0111] in, is the revenue of thermal power during period t, is the cost of thermal power during period t, To clear the electricity price, is the amount of electricity stored in energy storage by thermal power per unit time, is the unit fixed cost of thermal power, is the unit variable cost of thermal power, The unit startup cost.

[0112] In another embodiment of the present invention, a cost-benefit calculation optimization system for new energy energy storage participating in bilateral transactions is provided. The system can be used to implement the above-mentioned cost-benefit calculation optimization method for new energy energy storage participating in bilateral transactions. Specifically, the cost-benefit calculation optimization system for new energy energy storage participating in bilateral transactions includes a construction module, a function module and an optimization module.

[0113] Among them, the building module builds the transaction model; Function module, based on the obtained transaction model, determines the cost functions of different market players and lists the constraints; The optimization module solves the constructed transaction model based on the obtained cost function and constraints, obtains the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and calculates the benefits of various entities.

[0114] In another embodiment of the present invention, a terminal device is provided, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the cost-benefit calculation optimization method for new energy storage participating in bilateral transactions, including: Construct a transaction model; based on the obtained transaction model, determine the cost functions of different market entities and list the constraints; based on the obtained cost functions and constraints, solve the constructed transaction model to derive the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and calculate the benefits of each entity.

[0115] See also Fig.10, the terminal device is a computer device. The computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the method for calculating the fluid composition in the reservoir transformation wellbore in the embodiment is realized. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the cost-benefit calculation optimization system for new energy storage participating in bilateral transactions in the embodiment are realized. To avoid repetition, it is not described one by one here.

[0116] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Fig.10 This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0117] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0118] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0119] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0120] See also Fig.11 , the terminal device is a chip, and the chip 600 of this embodiment includes a processor 622, which may be one or more, and a memory 632 for storing a computer program executable by the processor 622. The computer program stored in the memory 632 may include one or more modules, each corresponding to a set of instructions. In addition, the processor 622 may be configured to execute the computer program to execute the above-mentioned cost-benefit calculation optimization method for new energy storage participating in bilateral transactions.

[0121] In addition, the chip 600 may further include a power supply component 626 and a communication component 650, wherein the power supply component 626 may be configured to perform power management of the chip 600, and the communication component 650 may be configured to implement communication, for example, wired or wireless communication, of the chip 600. In addition, the chip 600 may further include an input / output interface 658. The chip 600 may operate based on an operating system stored in the memory 632.

[0122] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium, which is a memory device in a terminal device for storing programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs. It should be noted that the computer-readable storage medium here can be a high-speed RAM memory, or a non-volatile memory (Non-VolatileMemory), such as at least one disk memory.

[0123] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the cost-benefit calculation optimization method for new energy storage participating in bilateral transactions in the above embodiment; one or more instructions in the computer-readable storage medium are loaded and executed by the processor as follows: Construct a transaction model; based on the obtained transaction model, determine the cost functions of different market entities and list the constraints; based on the obtained cost functions and constraints, solve the constructed transaction model to derive the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and calculate the benefits of each entity.

[0124] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention described and shown in the drawings here can usually be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0125] In order to verify the effect of the energy storage configuration method of the present invention, the load of a typical day in a certain place in my country is randomly selected in this embodiment, and the local transmission section limit is set to 90MW. Figure 1 This is the load situation for 24 hours on a typical day, with a time scale of 1 hour. Figure 2 It is the clearing price for 24 hours on the typical day, and the time scale is 1 hour.

[0126] At the same time, in order to meet the needs of the embodiment, a 100MW wind power generation is equipped. Figure 2 is the output curve of the wind power plant in the typical day. Table 1 is the maintenance rate, initial investment, and annual investment rate of the typical wind power plant. It can be concluded that the cost is.

[0127] Table 1 Rates for this wind power plant

[0128] At the same time, in order to meet the requirements of the embodiment, a 30MW thermal power generation is required. Table 2 shows the fixed cost and variable cost of the thermal power plant under 100% load conditions. The fixed cost does not change with the output, so it remains unchanged when the output is not full, and the variable cost is calculated according to the output ratio. Since it is difficult to calculate the average cost when starting and stopping, the startup cost is not considered in this example; water charges account for a very small proportion in the power plant, and there is no large deviation between the water charge budget and the actual cost, so it is ignored in this embodiment and the value is set to 0. Figure 3 It shows the proportion of various costs of thermal power generation. It can be clearly seen that fuel costs account for about 70% of the total costs.

[0129] Table 2 The cost of the thermal power plant

[0130] Without involving energy storage, in order to promote the consumption of new energy, the electricity generated by wind power plants that is less than or equal to the load can all be sold. Figure 4The figure shows the amount of wind power curtailment and the gap that needs to be filled by thermal power in 24 hours of a typical day. The red in the figure is the gap that needs to be filled by thermal power, and the blue is the amount of wind power curtailment. The income of thermal power at this time can be calculated to be 102,448 yuan, and the cost is 22,420.4 yuan. The income of new energy is 1,364,682 yuan, and the cost is 47,355.3 yuan.

[0131] At the same time, in order to meet the requirements of the embodiment, a 50MW energy storage is equipped, and the power in the battery energy storage is set to 0 at the beginning. Table 3 shows the main parameters of the energy storage. Charging at the market clearing price, in actual situations, often negotiates with new energy to sign a special power purchase agreement or conducts charging under a specific policy framework at a lower price to achieve the storage and regulation of electric energy and promote the consumption of new energy.

[0132] Table 3 Main parameters of battery energy storage system

[0133] At this time, the energy storage can be charged when the price is low between time periods 1 and 6, that is, from time periods 1 to 4, 50MW of electricity is charged, and in time period 8, 5MW of electricity is discharged to meet the demand, and 5MW of electricity is charged in time period 9, and it continues to discharge when needed and charge when not needed. At time period 20, due to the limitation of discharge depth, the remaining 10MW in the battery energy storage cannot meet the load demand, and the thermal power plant needs to supply power for 2 time periods. 8MW is charged in time period 22, and the battery energy storage can continue to supply the load demand of time periods 23 and 24. Figure 5 It reflects the storage situation of the battery energy storage in the typical day for 24 hours. Figure 6 and Figure 7 The figures reflect the over-generation of wind power plants without energy storage and the over-generation of wind power plants with energy storage. This shows the importance and effectiveness of energy storage in solving the intermittent and uncontrollable problems of renewable energy (such as solar energy and wind energy). Figure 8 This is a comparison chart of thermal power output without energy storage and with energy storage.

[0134] At this time, the profit of new energy is 1,410,813 yuan, which is 46,131 yuan more than when there is no energy storage, and the cost remains unchanged. The profit of thermal power is 30,439 yuan, and the cost is 8,297.9 yuan. The profit of energy storage is 72,009 yuan, and the cost is 46,131 yuan. Table 4 is a comparison of the profits before and after. Fig. 9 It is the composition of energy storage cost.

[0135] Table 4 Comparison of revenue and expenditure of new energy, thermal power and energy storage

[0136] It can be seen that from the process of no energy storage to energy storage, the total profit increased by 0.7%, which is the reuse of excess electricity generation and increased social welfare; the wind power plant abandonment rate decreased by 44%, and the profit increased by 3.5%, further improving the system's ability to accept wind power, which helps to reduce wind power abandonment and increase the proportion of wind power consumption in the power grid.

[0137] When applied to actual situations, the cost of energy storage will be lower, because the charging price will be lower than the clearing price, and the corresponding additional income of new energy will be reduced. However, for new energy power plants, this additional income is earned as long as it exists, so the price can be lowered more in negotiations; for thermal power, it is necessary to consider the startup cost, such as Figure 7 It can be seen that without energy storage, there are bumps of 0 output before and after time periods 8, 16 and 23. For thermal power plants, there are power plant start-up and shutdown time restrictions, minimum output restrictions, and the startup cost of each time must be considered, which greatly increases cost expenditure. With energy storage, thermal power output is concentrated in two consecutive time periods, so there is no need to consider the start-up and shutdown time restrictions and the startup cost of multiple switches.

[0138] In summary, the present invention provides a cost-benefit calculation optimization method and system for new energy storage participating in bilateral transactions, which improves the new energy absorption capacity by reasonably allocating new energy and energy storage resources to participate in the electricity market, while ensuring the safe and stable operation of the power grid.

[0139] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0140] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0141] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed in the present invention can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0142] In the embodiments provided by the present invention, it should be understood that the disclosed devices / terminals and methods can be implemented in other ways. For example, the device / terminal embodiments described above are only schematic. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0143] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0144] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0145] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0146] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices, and computer program products according to the embodiments of the present application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of the processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0147] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0148] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0149] The above contents are only for explaining the technical idea of ​​the present invention and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the claims of the present invention.

Claims

1. A cost-benefit calculation optimization method for new energy storage participating in bilateral transactions, characterized in that: The following steps are involved: S1. Build a transaction model; S2. Based on the transaction model obtained in step S1, determine the cost functions of different market players and list the constraints; S3. Based on the cost function and constraints obtained in step S2, the constructed transaction model is solved to obtain the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and the benefits of various entities are calculated.

2. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 1 is characterized in that: The objective function of the transaction model is expressed as: in, is the revenue of renewable energy generation during period t, is the revenue of thermal power generation during period t, is the revenue of energy storage and power transmission during period t, is the total cost during period t, is the negotiated electricity price, is the cost of renewable energy generation during period t, is the cost of thermal power generation during period t, is the cost of energy storage during period t, and the demand is , The cost of energy storage.

3. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 2 is characterized in that: The amount of electricity allocated to thermal power transmission is expressed as: in, is the amount of electricity allocated to renewable energy during period t, is the amount of electricity allocated to thermal power transmission during period t, It is the amount of electricity allocated to energy storage for power transmission during period t.

4. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 1 is characterized in that: The cost of energy storage is expressed as: in, is the energy storage life loss cost, is the amount of electricity charged into the energy storage by thermal power at time t, yes, is the electricity price of renewable energy charged into energy storage at time t, is the amount of energy stored and charged at time t, is the cost of storing new energy in energy storage, is the cost of storing thermal power in energy storage; The cost of renewable energy generation is expressed as: in, Maintenance rates for renewable energy power plants; For the initial investment of renewable energy power plants; The power allocated to renewable energy power plants; for the year of the renewable energy power plant; Thermal power generation cost for: in, is the unit fixed cost, is the unit variable cost, is the unit startup cost; the fixed cost is allocated according to the unit capacity ratio, and the variable cost is allocated according to the grid-connected power ratio.

5. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 4 is characterized in that: Lifetime depreciation costs of energy storage for: Among them, C op is the energy storage life loss coefficient, , are the energy storage charging and discharging power in period t, It is the unit time.

6. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 4 is characterized in that: The bidding strategy for energy storage is expressed as: in, Bidding strategies for energy storage providers; These are the electricity purchase prices of energy storage companies in three ranges; The three power selling prices of energy storage companies are divided into three areas: , Represents the state of charge at time t.

7. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 6 is characterized in that: set up It is a period of power shortage, during which the capacity of energy storage is relatively sufficient; In The scope is the parity period, at which time the purchase price and selling price of energy storage companies are at parity; This is a period of sufficient electricity, during which energy storage companies reduce their purchase and selling prices.

8. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 4 is characterized in that: Battery energy storage system constraints: in, and are the maximum allowable charging and discharging power of the battery energy storage system, respectively; is the charge state variable of the g-th battery in the t-th period; is the discharge state variable of the g-th battery in the t-th time period; G is the number of batteries.

9. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 4 is characterized in that: The bidding strategy of new energy power generators is expressed as: in, is the quotation of the new energy power generator at time t; and The winning bid power and actual output of the new energy power generator at time t; is the fixed unit price and offset price coefficient generated by maintenance costs; the latter term represents the unit price of unbalanced costs generated when the bid power of new energy is not equal to the actual output.

10. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 4 is characterized in that: The output constraint of thermal power units is expressed as: in, Indicates j The minimum output of the thermal power unit; Indicates j The maximum output of the thermal power units; The climbing constraint of thermal power unit is expressed as: in, Indicates the downward ramp rate of the thermal power unit, MW / min; Indicates the upward climbing rate of the thermal power unit; express t- Output of thermal power units at 1 moment; The minimum start and stop time constraint of thermal power units is expressed as: in, Indicates the continuous operation time of thermal power units; Indicates the minimum operating time of thermal power units; Indicates the shutdown time of thermal power units; Indicates the minimum shutdown time of thermal power units.

11. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 10 is characterized in that: The bidding strategies for thermal power include: Capacity strategy is used to divide the unit output of the power generator into four intervals: The first interval is [0, Q1], where Q1 represents safe and stable operation, and the minimum output is 30% to 40% of the installed capacity; The second interval is [Q1, Q2], where Q2 represents the unit operating under relatively low power conditions, and the output value is 50% of the rated output; The third interval is [Q2, Q3], where Q3 represents the average output of the unit at design time, and Q3 is 70% of the rated output; The fourth interval is [Q3, Q4], where Q4 represents the maximum output of the unit under the premise of ensuring safety, and the output value is 90% of the rated output; The pricing strategies are: Basic load ladder [0, C1], C1 is the unit variable cost; Operation balance ladder [C1, C2], C2 is the total unit cost; Break-even ladder [C2, C3], C3 is the current benchmark electricity price; Initial revenue ladder [C3, C4], C4 is the initial spillover electricity price; Excess profit ladder [C4, C5], C5 is the excess overflow electricity price.

12. The cost-benefit calculation optimization method for new energy storage participating in bilateral transactions according to claim 1 is characterized in that: The benefits of energy storage are expressed as: in, is the benefit of energy storage at time t, is the cost of energy storage at time t, is the amount of electricity allocated to energy storage for power transmission during period t, is the lifetime depreciation cost of energy storage, The cost of storing energy for new energy sources, The cost of storing energy for thermal power, is the unit price of thermal power stored in energy storage per unit time, is the unit price of storing new energy into energy storage per unit time; The benefits of new energy are expressed as: in, is the revenue of renewable energy power generation during period t, is the cost of renewable energy generation in period t, is the amount of electricity allocated to renewable energy during period t, For the cost of new energy, is the unit price of storing new energy in energy storage per unit time, The amount of electricity stored in energy storage by renewable energy per unit time; The revenue from thermal power is expressed as: in, is the revenue of thermal power during period t, is the cost of thermal power during period t, To clear the electricity price, is the amount of electricity stored in energy storage by thermal power per unit time, is the unit fixed cost of thermal power, is the unit variable cost of thermal power, The unit startup cost.

13. A cost-benefit calculation optimization system for new energy storage participating in bilateral transactions, characterized in that: include: Build modules and construct transaction models; Function module, based on the obtained transaction model, determines the cost functions of different market players and lists the constraints; The optimization module solves the constructed transaction model based on the obtained cost function and constraints, obtains the optimal output plan of new energy, thermal power, and energy storage in bilateral transactions with transmission section restrictions, and calculates the benefits of various entities.

14. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform the method of any one of claims 1 to 12.

15. A computing device, characterized in that: include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the method according to any one of claims 1 to 12.

16. A chip, characterized in that: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 12.

17. An electronic device, characterized in that: Comprising the chip as claimed in claim 16.

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