Electrochemical energy storage power station operation strategy generation method and device, storage medium

Abstract

The present application discloses a method, device, and storage medium for generating an electrochemical energy storage power station operation strategy, relating to the technical field of energy storage power station operation optimization. The method comprises: constructing a first operation constraint condition based on a first operation parameter of a target electrochemical energy storage power station, constructing a second operation constraint condition based on a second operation parameter of other market participants and the first operation constraint condition; constructing a third operation constraint condition based on the minimum operation cost of the first subject in the electric energy market, and constructing a fourth operation constraint condition based on the minimum operation cost of the second subject in the capacity market; and determining a target operation cost minimum model under the first operation constraint condition, the second operation constraint condition, the third operation constraint condition, and the fourth operation constraint condition as an electrochemical energy storage power station operation strategy generation model to generate a target operation strategy for the target electrochemical energy storage power station. This method helps to accurately and reasonably determine the operation strategy of the electrochemical energy storage power station in various market environments.

Description

Technical Field

[0001] The present application relates to the technical field of energy storage power station operation optimization, and in particular to a method and device for generating an electrochemical energy storage power station operation strategy, and a storage medium. Background Art

[0002] Electrochemical energy storage is a mature, widely used, and energy-saving electric energy storage technology. The rational and efficient use of electrochemical energy storage technology can promote the consumption of renewable energy and effectively improve the economic efficiency of electricity use.

[0003] At the same time, with the advancement of market-oriented transactions in electricity services, electrochemical energy storage power stations, as operating entities with strong regulation capabilities, are increasingly participating in different types of electricity regulation service markets. The form of electricity regulation services has also gradually changed from simply earning electricity price arbitrage through "buying in valleys and selling on peaks" to participating in various electricity service markets such as electricity energy markets and capacity markets.

[0004] At present, how to accurately and reasonably determine the operating strategy of electrochemical energy storage power stations in various market environments has become a technical problem that needs to be solved urgently. Summary of the Invention

[0005] In view of this, the present application provides a method and device for generating an electrochemical energy storage power station operation strategy, and a storage medium, which helps to accurately and reasonably determine the operation strategy of the electrochemical energy storage power station in various market environments.

[0006] According to one aspect of the present application, a method for generating an operation strategy for an electrochemical energy storage power station is provided, comprising:

[0007] Determine a target electrochemical energy storage power station and other market participants among the market participants, establish a first operating constraint condition corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and establish a second operating constraint condition corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint condition corresponding to the target electrochemical energy storage power station;

[0008] Determine a first entity participating in the electric energy market and a second entity participating in the capacity market among the market participants, establish a third operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the first entity, and establish a fourth operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the second entity;

[0009] A target operating cost minimization model for the target electrochemical energy storage power station is constructed, and the target operating cost minimization model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition is determined as an electrochemical energy storage power station operation strategy generation model. A target operating strategy for the target electrochemical energy storage power station is generated according to the electrochemical energy storage power station operation strategy generation model, so as to control the target electrochemical energy storage power station based on the target operating strategy.

[0010] According to another aspect of the present application, a device for generating an operation strategy for an electrochemical energy storage power station is provided, comprising:

[0011] A first construction module is configured to determine a target electrochemical energy storage power station and other market participants among the market participants, construct a first operating constraint condition corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and construct a second operating constraint condition corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint condition corresponding to the target electrochemical energy storage power station;

[0012] A second construction module is configured to determine a first subject participating in the electric energy market and a second subject participating in the capacity market among the market participants, construct a third operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the first subject, and construct a fourth operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the second subject;

[0013] a generation module for constructing a target operating cost minimization model for the target electrochemical energy storage power station, determining the target operating cost minimization model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition as an electrochemical energy storage power station operation strategy generation model, and generating a target operating strategy for the target electrochemical energy storage power station according to the electrochemical energy storage power station operation strategy generation model, so as to control the target electrochemical energy storage power station based on the target operating strategy.

[0014] According to another aspect of the present application, a storage medium is provided, on which a computer program is stored. When the program is executed by a processor, the above-mentioned electrochemical energy storage power station operation strategy generation method is implemented.

[0015] According to another aspect of the present application, a computer device is provided, including a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, wherein the processor implements the above-mentioned electrochemical energy storage power station operation strategy generation method when executing the program.

[0016] By means of the above technical solution, the present application provides a method, device, and storage medium for generating an electrochemical energy storage power station operation strategy. From the perspective of market participants, not only the target electrochemical energy storage power station is considered, but also other market participants. Moreover, not only the first operating constraint condition constructed by the first operating parameter of the target electrochemical energy storage power station is considered, but also the second operating constraint condition of other market participants constructed together by the second operating parameters and the first operating constraint condition of other market participants is considered. From the perspective of multiple market environments, not only the electric energy market is considered, but also the capacity market is considered. Moreover, not only the third constraint condition for minimizing the operating cost of the first entity participating in the electric energy market is considered, but also the fourth constraint condition for minimizing the operating cost of the second entity participating in the capacity market is considered. Therefore, the electrochemical energy storage power station operation strategy generation model is a target operating cost minimization model of the target electrochemical energy storage power station constructed on the basis of the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition. Such an electrochemical energy storage power station operation strategy generation model comprehensively considers the operating cost of the target electrochemical energy storage power station and the effective absorption of renewable energy, so that the operation strategy of the electrochemical energy storage power station in various market environments can be reasonably and accurately determined.

[0017] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0019] Figure 1 A schematic diagram of a process for generating an electrochemical energy storage power station operation strategy provided by an embodiment of the present application is shown;

[0020] Figure 2 A schematic structural diagram of an electrochemical energy storage power station operation strategy generation device provided in an embodiment of the present application is shown;

[0021] Figure 3 An example diagram of a power strategy in a target operation strategy of a target electrochemical energy storage power station provided by an embodiment of the present application is shown;

[0022] Figure 4 An example diagram showing a target electrochemical energy storage power station power quotation and market power price provided in an embodiment of the present application;

[0023] Figure 5 An example diagram showing a capacity quotation and market capacity electricity price of a target electrochemical energy storage power station provided in an embodiment of the present application is shown;

[0024] Figure 6 An example diagram of the charge state change of a target electrochemical energy storage power station provided in an embodiment of the present application is shown. DETAILED DESCRIPTION

[0025] The present application will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0026] In this embodiment, a method for generating an electrochemical energy storage power station operation strategy is provided. Figure 1 As shown, the method includes:

[0027] Step 101: Determine a target electrochemical energy storage power station and other market participants among the market participants, construct a first operating constraint condition corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and construct a second operating constraint condition corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint condition corresponding to the target electrochemical energy storage power station;

[0028] The target electrochemical energy storage power station is an electrochemical energy storage power station for which an operation strategy is to be generated, and Li is used to represent the target electrochemical energy storage power station.

[0029] The first operating parameter includes: maximum discharge power Maximum charging power Energy charging efficiency η ch , energy discharge efficiency η dch , maximum state of charge SOC max , minimum state of charge SOC min , energy storage capacity SOC at full charge full .

[0030] The electric energy market includes the day-ahead market (denoted by DA) and the balancing market (denoted by IN).

[0031] In the embodiment of the present application, in order to construct a first operating constraint condition corresponding to the target electrochemical energy storage power station according to the first operating parameter of the target electrochemical energy storage power station, step 101 may optionally include:

[0032] Step 101-1, constructing the charging power range constraint and charging capacity range constraint of the target electrochemical energy storage power station, including: and the charging decision variable of whether the target electrochemical energy storage power station is in a charging condition Determine the day-ahead charging power of the target electrochemical energy storage power station in the day-ahead market The range of (as shown in formula (1)), according to the charging power Determine the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station The range of (as shown in formula (4) below), according to the maximum charging power The charging decision variables Compared with the charging power mentioned above Determine the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station The range is as follows (formula (5)), and the capacity is adjusted downward according to the charging Determine the downward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market The range is as follows (formula (3)), and the capacity is adjusted upward according to the charging Determine the upward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market The range of (as shown in formula (2) below);

[0033]

[0034]

[0035]

[0036]

[0037]

[0038] It should be noted that the charging power range constraints of the target electrochemical energy storage power station are as shown in the above equations (1), (2), and (3), and the charging capacity range constraints of the target electrochemical energy storage power station are as shown in the above equations (4) and (5).

[0039] Step 101-2, constructing the discharge power range constraint and discharge capacity range constraint of the target electrochemical energy storage power station, including: according to the maximum discharge power and the discharge decision variables of whether the target electrochemical energy storage power station is in a discharge condition. Determine the day-ahead discharge power of the target electrochemical energy storage power station in the day-ahead market The range of (as shown in formula (6)), according to the discharge power Determine the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station The range of (as shown in formula (10)), according to the maximum discharge power The discharge decision variables The discharge power Determine the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station The range is as follows (Equation (9)), and the capacity is adjusted downward according to the discharge Determine the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market The range is as follows (equation (8)), and the capacity is adjusted upward according to the discharge Determine the upward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market The range of (as shown in formula (7) below);

[0040]

[0041]

[0042]

[0043]

[0044]

[0045] It should be noted that the discharge power range constraints of the target electrochemical energy storage power station are as shown in the above equations (6), (7), and (8), and the discharge capacity range constraints of the target electrochemical energy storage power station are as shown in the above equations (9) and (10).

[0046] The symbol λ represents the dual variable of the inequality. The dual variable has no actual physical meaning. Specifically, λ The dual variable corresponding to the upper limit of the inequality, The dual variable corresponding to the lower limit of the inequality.

[0047] Step 101-3, constructing the state of charge constraint of the target electrochemical energy storage power station, including: according to the day-ahead discharge power of the target electrochemical energy storage power station The upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station The day-ahead charging power of the target electrochemical energy storage station The upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station The lower limit of the state of charge (SOC) at the previous moment t-1,lower , energy charging efficiency η ch , energy discharge efficiency η dch , the number of time granularities in a day N tConstruct the lower limit SOC of the current state of charge of the target electrochemical energy storage power station t,lower ;

[0048]

[0049] Here, ψ is the dual variable.

[0050] According to the target electrochemical energy storage power station's day-ahead discharge power The downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station The day-ahead charging power of the target electrochemical energy storage station The downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station The upper bound of the state of charge SOC at the previous moment t-1,upper , the energy charging efficiency η ch , the energy discharge efficiency η dch , the number of time granularities N within a day t Construct the upper limit of the state of charge SOC of the target electrochemical energy storage power station at the current moment t,upper ;

[0051]

[0052] The current state of charge SOC of the target electrochemical energy storage power station t,lower The upper bound of the state of charge SOC of the target electrochemical energy storage power station at the current moment t,upper The maximum state of charge (SOC) of the electrochemical energy storage station is max The minimum state of charge SOC of the electrochemical energy storage station min between;

[0053]

[0054]

[0055] The initial state of charge SOC of the target electrochemical energy storage power station is 0,lower The upper limit of the state of charge SOC at the initial moment of the target electrochemical energy storage power station 0,upper =equal, both are the state of charge of the target electrochemical energy storage power station at the initial moment, according to the state of charge of the target electrochemical energy storage power station at the initial moment and the energy storage capacity SOC at the full charge state full Determine the lower limit SOC of the state of charge of the target electrochemical energy storage power station at the last moment 24,lower The upper limit of the state of charge SOC of the target electrochemical energy storage power station at the last moment 24,upper .

[0056] SOC 0,lower =SOC 0,upper =SOC0:ψ Li,0

[0057] SOC 24,upper ≤SOC0+0.1SOC full :μ Li,24,upper

[0058] SOC 24,lower ≥SOC0-0.1SOC full :μ Li,24,lower

[0059] Here, μ is the dual variable.

[0060] Step 101-4, according to the charging decision variables With the discharge decision variables Establishing operating state constraints of the electrochemical energy storage power station;

[0061]

[0062] Respectively indicate whether the electrochemical energy storage power station is in the discharge or charging state, which is a 0-1 variable.

[0063] Step 101 - 5 : Determine the charging power range constraint, the charging capacity range constraint, the discharging power range constraint, the discharging capacity range constraint, the state of charge constraint, and the operating state constraint as the first operating constraint condition.

[0064] In the embodiment of the present application, the other market participants include: a thermal power station (represented by F), a wind power station (represented by W) and a photovoltaic power station (represented by S), and the second operating parameter includes: the maximum power generation power of the thermal power station The maximum power generation capacity of the wind power station The maximum power generation capacity of the photovoltaic power station The corresponding load demand in the day-ahead market The amount of electrical energy purchased in the day-ahead market

[0065] To construct the second operating constraint corresponding to the other market participant based on the second operating parameter of the other market participant and the first operating constraint corresponding to the target electrochemical energy storage power station, step 101 may optionally include:

[0066] Step 101-6, according to the maximum power generation power of the thermal power station Determine the power generation capacity of the thermal power station in the day-ahead market The range (as shown in the following formula (11)), according to the maximum power generation power of the thermal power station and the power generation capacity of the thermal power station in the day-ahead market Determine the increased capacity of the thermal power station The range of (as shown in formula (14) below), according to the power generation power of the thermal power station in the day-ahead market Determine the reduced capacity of the thermal power station The range of (as shown in formula (15) below), according to the increased capacity of the thermal power station Determine the increased power of the thermal power station in the day-ahead market The range of (as shown in formula (12) below), according to the reduced capacity of the thermal power station Determine the power reduction of the thermal power station in the day-ahead market The range of (as shown in formula (13) below);

[0067]

[0068]

[0069]

[0070]

[0071]

[0072] Step 101-7, according to the maximum power generation power of the wind power station Determining wind power generation in the balancing market scope;

[0073]

[0074] Step 101-8: According to the maximum power generation power of the photovoltaic power station Determining the photovoltaic power generation in the balancing market scope;

[0075]

[0076] Step 101-9: Determine the day-ahead charging power according to the first operating constraint corresponding to the target electrochemical energy storage power station. The discharge power The net output power of the target electrochemical energy storage power station is obtained by subtracting the charging power from the discharge power on the previous day.

[0077]

[0078] Step 101-10, according to the maximum power generation power of the thermal power station The maximum power generation capacity of the wind power station The maximum power generation capacity of the photovoltaic power station The corresponding load demand in the day-ahead market The amount of electrical energy purchased in the day-ahead market and the net output power of the target electrochemical energy storage power station Construct power balance constraints in the day-ahead market;

[0079] Day-ahead market power balance constraints:

[0080]

[0081] Step 101-11, determining the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market according to the first operation constraint condition corresponding to the target electrochemical energy storage power station The current charging power The target electrochemical energy storage power station charges the corresponding downward adjustment power in the balancing market The target electrochemical energy storage power station charges the corresponding upward adjustment power in the balancing market

[0082] Step 101-12, according to the power generation power of the thermal power station in the day-ahead market The increased power of the thermal power station in the day-ahead market The power reduction of the thermal power station in the day-ahead market The power generation capacity of the wind power station in the day-ahead market The power generation capacity of the photovoltaic power station in the day-ahead market The amount of electrical energy purchased in the day-ahead market The day-ahead discharge power The target electrochemical energy storage power station discharges the corresponding upward adjustment power in the balancing market The target electrochemical energy storage power station discharges the corresponding downward adjustment power in the balancing market The current charging power The target electrochemical energy storage power station charges the corresponding downward adjustment power in the balancing market The target electrochemical energy storage power station charges the corresponding upward adjustment power in the balancing market and the load demand in the balancing market Constructing power balance constraints in the balancing market;

[0083] Power balance constraints in the balancing market:

[0084]

[0085] Step 101-13: determine the day-ahead market power balance constraint and the balancing market power balance constraint as the second constraint condition.

[0086] Step 102: Determine a first entity participating in the electric energy market and a second entity participating in the capacity market among the market participants, establish a third operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the first entity, and establish a fourth operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the second entity;

[0087] In an embodiment of the present application, determining the first entity among the market participants that participates in the electric energy market and the second entity that participates in the capacity market specifically includes: determining that the first entity among the market participants that participates in the electric energy market is the thermal power station, the wind power station, the photovoltaic power station and the target electrochemical energy storage power station, and that the second entity that participates in the capacity market is the thermal power station and the target electrochemical energy storage power station.

[0088] In the embodiment of the present application, in order to construct the third operating constraint condition corresponding to the electric energy market according to the minimum operating cost of the first entity, step 102 may specifically include:

[0089] The specific formula for minimizing the operating cost of the first entity is:

[0090]

[0091] Among them, C F,t 、C W,t 、C S,t 、C buy,t 、C L,t 、c Li,dch,t 、c Li,ch,t They respectively represent the power generation cost of the thermal power station, the power generation cost of the wind power station, the power generation cost of the photovoltaic power station, the price of purchased electricity, the highest price provided by the load in the day-ahead market, the electric energy discharge transaction quotation of the target electrochemical energy storage station, and the electric energy charging transaction quotation of the target electrochemical energy storage station, represent the power generation power of the thermal power station in the day-ahead market, the power generation power of the wind power station in the day-ahead market, the power generation power of the photovoltaic power station in the day-ahead market, the power of electric energy purchased in the day-ahead market, the day-ahead discharge power, the day-ahead charging power, and the corresponding load demand in the day-ahead market, respectively. represents the total price of electricity generated by the thermal power station, represents the total price of electricity generated by the photovoltaic power station, represents the total price of electricity generated by the wind power station, represents the total power generation price of the target electrochemical energy storage power station, Indicates the total price of electricity purchased, represents the total electricity price corresponding to the load demand in the day-ahead market, N t Indicates the number of time granularities within the day;

[0092] Minimizing the operating cost of the first entity is determined as the third operating constraint condition corresponding to the electric energy market.

[0093] In the embodiment of the present application, in order to construct the fourth operation constraint condition corresponding to the electric energy market according to the minimum operation cost of the second entity, optionally, step 102 may specifically include:

[0094] The specific formula for minimizing the operating cost of the second entity is:

[0095]

[0096] in, Respectively represent the upward adjustment capacity cost of the thermal power station, the downward adjustment capacity cost of the thermal power station, Respectively represent the transaction quotation of the upward adjustment capacity of the target electrochemical energy storage power station, the transaction quotation of the downward adjustment capacity of the target electrochemical energy storage power station, Indicates the increased capacity of the thermal power station, Indicates the reduced capacity of the thermal power station, represents the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the total price of the capacity service provided by the thermal power station, represents the total price of the capacity service provided by the target electrochemical energy storage power station;

[0097] Minimizing the operating cost of the second entity is determined as the fourth operating constraint condition corresponding to the electric energy market.

[0098] In order to simplify the third and fourth operating constraints, the KKT conditions and strong duality principle corresponding to the market operation rule optimization problem model are used to simplify the constraints that need to be determined by the minimization problem into mixed integer equality and inequality constraints. The equality and inequality constraints can be specifically expressed as: gradient constraints, including:

[0099]

[0100] This equation represents the optimality condition according to the market operation rules, where the variable Gradient conditions need to be met. Among them, C F,t represents the power generation cost of a thermal power station, is the dual variable of the power balance constraint in the operation constraint, and Represent variables respectively The dual variable of the inequality constraints of the upper and lower limits. Similarly, we have:

[0101]

[0102]

[0103]

[0104]

[0105] Likewise, there are:

[0106]

[0107]

[0108] Where C W,t 、C S,t Respectively represent the power generation cost of wind power station and photovoltaic power station, Represents the penalty coefficient for intraday output changes of wind power generation and photovoltaic power generation.

[0109]

[0110]

[0111] C buy,t Indicates the price of electricity purchased, C L,t It represents the highest price offered by load in the day-ahead market.

[0112]

[0113]

[0114]

[0115]

[0116]

[0117]

[0118] Where c Li,dch,t 、c Li,ch,t They respectively represent the electric energy discharge transaction quotation of the target electrochemical energy storage power station and the electric energy charging transaction quotation of the target electrochemical energy storage power station.

[0119]

[0120]

[0121] Where, They represent the upward regulation capacity cost of a thermal power station and the downward regulation capacity cost of a thermal power station respectively.

[0122]

[0123]

[0124]

[0125]

[0126] Where, They respectively represent the transaction quotation for upward adjustment capacity of the target electrochemical energy storage power station and the transaction quotation for downward adjustment capacity of the target electrochemical energy storage power station.

[0127] The KKT conditions also include complementary slack conditions, which describe the relationship between the dual variable and other variables:

[0128] Complementary slack conditions:

[0129]

[0130]

[0131]

[0132]

[0133]

[0134]

[0135]

[0136]

[0137]

[0138]

[0139]

[0140]

[0141]

[0142]

[0143]

[0144]

[0145]

[0146]

[0147]

[0148]

[0149]

[0150]

[0151]

[0152]

[0153]

[0154]

[0155]

[0156]

[0157] Finally, the electrochemical energy storage power station operation strategy generation model can generate the operation data of the target electrochemical energy storage power station in each time period as the target operation strategy of the target electrochemical energy storage power station; the operation data includes the corresponding discharge (no more details) and the corresponding charging: the day-ahead charging power of the target electrochemical energy storage power station in the day-ahead market Upward adjustment capacity corresponding to charging of target electrochemical energy storage station Downward adjustment capacity corresponding to the charging of the target electrochemical energy storage station The downward adjustment power corresponding to the charging of the target electrochemical energy storage station in the balancing market The upward regulation power corresponding to the charging of the target electrochemical energy storage station in the balancing market wait.

[0158] Optionally, the number of time granularities N within a day t Taking one hour as an example and twenty-four hours as the target time range, the target electrochemical energy storage power station and thermal power station shown in Table 1 are selected as the main bodies of the market participation model to solve the operation strategy of the target electrochemical energy storage power station.

[0159] Table 1

[0160]

[0161]

[0162] In this embodiment, the power strategy in the target operation strategy of the target electrochemical energy storage power station is calculated as follows: Figure 3 As shown in (the arrow points to and is below the 0 horizontal line for downward adjustment); the target electrochemical energy storage power station's electricity quotation and market electricity price are as follows Figure 4 As shown; the capacity quotation of the target electrochemical energy storage power station and the market capacity electricity price are as follows Figure 5 As shown; the charge state of the target electrochemical energy storage power station changes as shown Figure 6 As shown (where Figure 6 The shadow below the SOC line indicates the downward adjustment range, and the shadow above the SOC line indicates the upward adjustment range).

[0163] In an experiment conducted on the same computer equipment, the solution calculation time using the method proposed in this embodiment was approximately 182 seconds, which is significantly shorter than the commonly used calculation methods (the solution calculation time of the iterative calculation method exceeds 1600 seconds, and the solution calculation time of the heuristic algorithm is more than 22 minutes).

[0164] Step 103: construct a target operating cost minimization model for the target electrochemical energy storage power station, determine the target operating cost minimization model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition as an electrochemical energy storage power station operation strategy generation model, and generate a target operating strategy for the target electrochemical energy storage power station based on the electrochemical energy storage power station operation strategy generation model to control the target electrochemical energy storage power station based on the target operating strategy.

[0165] In the embodiment of the present application, to construct a target operating cost minimization model for the target electrochemical energy storage power station, step 103 may optionally include:

[0166] The specific formula of the target operating cost minimization model of the target electrochemical energy storage power station is:

[0167]

[0168] in, They represent the clearing price of the day-ahead market, the clearing price of the equilibrium market, and π ω Indicates the probability corresponding to each scenario, They represent the upward adjustment clearing price of the capacity market, the downward adjustment clearing price of the capacity market, LCOE represents the average cost per kilowatt-hour of the target electrochemical energy storage power station, Respectively represent the discharge power on the previous day, the charging power on the previous day, They respectively represent the upward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, They respectively represent the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station and the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station.

[0169] By applying the technical solution of this embodiment, from the perspective of market participants, not only the target electrochemical energy storage power station is taken into account, but also other market participants. Moreover, not only the first operating constraint condition constructed by the first operating parameter of the target electrochemical energy storage power station is considered, but also the second operating constraint condition of other market participants constructed jointly by the second operating parameters and the first operating constraint condition of other market participants is considered. From the perspective of multiple market environments, not only the electric energy market is considered, but also the capacity market is considered. Moreover, not only the third constraint condition for minimizing the operating cost of the first entity participating in the electric energy market is considered, but also the fourth constraint condition for minimizing the operating cost of the second entity participating in the capacity market is considered. Therefore, the electrochemical energy storage power station operation strategy generation model is a target operating cost minimization model of the target electrochemical energy storage power station constructed on the basis of the first constraint condition, the second constraint condition, the third constraint condition, and the fourth constraint condition. Such an electrochemical energy storage power station operation strategy generation model comprehensively considers the operating cost of the target electrochemical energy storage power station and the effective absorption of renewable energy, so that the operation strategy of the electrochemical energy storage power station in multiple market environments can be reasonably and accurately determined.

[0170] Further, as Figure 1 The specific implementation of the method, the embodiment of the present application provides an electrochemical energy storage power station operation strategy generation device, such as Figure 2 As shown, the device includes:

[0171] A first construction module 21 is configured to determine a target electrochemical energy storage power station and other market participants among the market participants, construct a first operating constraint corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and construct a second operating constraint corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint corresponding to the target electrochemical energy storage power station;

[0172] A second construction module 22 is configured to determine a first entity participating in the electric energy market and a second entity participating in the capacity market among the market participants, construct a third operation constraint condition corresponding to the electric energy market based on minimizing the operation cost of the first entity, and construct a fourth operation constraint condition corresponding to the electric energy market based on minimizing the operation cost of the second entity;

[0173] A generation module 23 is used to construct a target operating cost minimum model for the target electrochemical energy storage power station, determine the target operating cost minimum model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition as an electrochemical energy storage power station operation strategy generation model, and generate a target operating strategy for the target electrochemical energy storage power station according to the electrochemical energy storage power station operation strategy generation model to control the target electrochemical energy storage power station based on the target operating strategy.

[0174] Optionally, the first operating parameter includes: maximum discharge power, maximum charging power, energy charging efficiency and energy discharge efficiency, maximum state of charge, minimum state of charge, and energy storage capacity under fully charged state. The electric energy market includes a day-ahead market and a balancing market. In order to construct the first operating constraint condition corresponding to the target electrochemical energy storage power station according to the first operating parameter of the target electrochemical energy storage power station, the first construction module 21 is specifically used to construct the charging power range constraint and the charging capacity range constraint of the target electrochemical energy storage power station, including: determining the range of the day-ahead charging power of the target electrochemical energy storage power station in the day-ahead market according to the maximum charging power and the charging decision variable of whether the target electrochemical energy storage power station is in a charging condition, determining the range of the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station according to the day-ahead charging power, determining the range of the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station according to the maximum charging power, the charging decision variable and the day-ahead charging power, and determining the target electrochemical energy storage power station according to the downward adjustment capacity corresponding to the charging. The range of the downward adjustment power corresponding to charging in the balancing market, and the range of the upward adjustment power corresponding to charging of the target electrochemical energy storage power station in the balancing market are determined according to the upward adjustment capacity corresponding to charging; the discharge power range constraint and the discharge capacity range constraint of the target electrochemical energy storage power station are constructed, including: determining the range of the day-ahead discharge power of the target electrochemical energy storage power station in the day-ahead market according to the maximum discharge power and the discharge decision variable of whether the target electrochemical energy storage power station is in a discharging condition, determining the range of the downward adjustment capacity corresponding to discharge of the target electrochemical energy storage power station according to the day-ahead discharge power, determining the range of the upward adjustment capacity corresponding to discharge of the target electrochemical energy storage power station according to the maximum discharge power, the discharge decision variable, and the day-ahead discharge power, determining the range of the downward adjustment power corresponding to discharge of the target electrochemical energy storage power station in the balancing market according to the downward adjustment capacity corresponding to discharge, and determining the range of the upward adjustment power corresponding to discharge of the target electrochemical energy storage power station in the balancing market according to the upward adjustment capacity corresponding to discharge;Constructing the state of charge constraint of the target electrochemical energy storage power station includes: constructing the lower limit of the state of charge of the target electrochemical energy storage power station at the current moment according to the day-ahead discharge power of the target electrochemical energy storage power station, the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the day-ahead charging power of the target electrochemical energy storage power station, the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, the lower limit of the state of charge at the previous moment, the energy charging efficiency, the energy discharge efficiency, and the number of time granularities within a day; constructing the upper limit of the state of charge of the target electrochemical energy storage power station at the current moment according to the day-ahead discharge power of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the day-ahead charging power of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, the upper limit of the state of charge at the previous moment, the energy charging efficiency, the energy discharge efficiency, and the number of time granularities within a day; The lower bound of the state of charge and the upper bound of the state of charge of the target electrochemical energy storage station at the current moment are both between the maximum state of charge of the electrochemical energy storage station and the minimum state of charge of the electrochemical energy storage station. The lower bound of the state of charge at the initial moment of the target electrochemical energy storage station and the upper bound of the state of charge at the initial moment of the target electrochemical energy storage station are equal and are both the state of charge at the initial moment of the target electrochemical energy storage station. The lower bound of the state of charge at the final moment of the target electrochemical energy storage station and the upper bound of the state of charge at the final moment of the target electrochemical energy storage station are determined based on the state of charge at the initial moment of the target electrochemical energy storage station and the energy storage capacity at the full charge state. The operating state constraints of the electrochemical energy storage station are constructed based on the charging decision variables and the discharging decision variables. The charging power range constraint, the charging capacity range constraint, the discharging power range constraint, the discharging capacity range constraint, the state of charge constraint, and the operating state constraint are determined as the first operating constraint conditions.

[0175] Optionally, the other market participants include: thermal power stations, wind power stations and photovoltaic power stations, and the second operating parameters include: the maximum power generation power of the thermal power station, the maximum power generation power of the wind power station, the maximum power generation power of the photovoltaic power station, the corresponding load demand in the day-ahead market, and the power of electric energy purchased in the day-ahead market. In order to construct the second operating constraints corresponding to the other market participants according to the second operating parameters of the other market participants and the first operating constraints corresponding to the target electrochemical energy storage power station, the first construction module 21 is specifically used to determine the range of the power generation power of the thermal power station in the day-ahead market according to the maximum power generation power of the thermal power station, determine the range of the increased capacity of the thermal power station according to the maximum power generation power of the thermal power station and the power generation power of the thermal power station in the day-ahead market, determine the range of the decreased capacity of the thermal power station according to the power generation power of the thermal power station in the day-ahead market, determine the range of the increased power of the thermal power station in the day-ahead market according to the increased capacity of the thermal power station, and determine the range of the decreased capacity of the thermal power station in the day-ahead market according to the decreased capacity of the thermal power station. the range of downward power regulation in the day-ahead market; determining the range of wind power generation power in the balancing market based on the maximum power generation power of the wind power station; determining the range of photovoltaic power generation power in the balancing market based on the maximum power generation power of the photovoltaic power station; determining the day-ahead charging power and the day-ahead discharging power based on the first operating constraint corresponding to the target electrochemical energy storage power station, and obtaining the net output power of the target electrochemical energy storage power station by subtracting the day-ahead charging power from the day-ahead discharging power; constructing a day-ahead market power balancing constraint based on the maximum power generation power of the thermal power station, the maximum power generation power of the wind power station, the maximum power generation power of the photovoltaic power station, the corresponding load demand in the day-ahead market, the power of electric energy purchased in the day-ahead market, and the net output power of the target electrochemical energy storage power station; determining the downward regulation power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the day-ahead charging power, the downward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, and the upward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market based on the first operating constraint corresponding to the target electrochemical energy storage power station;A balancing market power balance constraint is established based on the power generation of the thermal power station in the day-ahead market, the upward power regulation of the thermal power station in the day-ahead market, the downward power regulation of the thermal power station in the day-ahead market, the power generation of the wind power station in the day-ahead market, the power generation of the photovoltaic power station in the day-ahead market, the power of electric energy purchased in the day-ahead market, the day-ahead discharge power, the upward regulation power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the downward regulation power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the day-ahead charging power, the downward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, the upward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, and the load demand in the balancing market; and the day-ahead market power balance constraint and the balancing market power balance constraint are determined as the second constraint condition.

[0176] Optionally, in order to determine the first entity participating in the electric energy market and the second entity participating in the capacity market among the market participants, the second construction module 22 is specifically used to determine that the first entity participating in the electric energy market among the market participants is the thermal power station, the wind power station, the photovoltaic power station and the target electrochemical energy storage power station, and the second entity participating in the capacity market is the thermal power station and the target electrochemical energy storage power station.

[0177] Optionally, in order to construct the third operation constraint condition corresponding to the electric energy market according to the minimum operation cost of the first subject, the second construction module 22 is specifically used to

[0178]

[0179] Among them, C F,t 、C W,t 、C S,t 、C buy,t 、C L,t 、c Li,dch,t 、c Li,ch,t They respectively represent the power generation cost of the thermal power station, the power generation cost of the wind power station, the power generation cost of the photovoltaic power station, the price of purchased electricity, the highest price provided by the load in the day-ahead market, the electric energy discharge transaction quotation of the target electrochemical energy storage station, and the electric energy charging transaction quotation of the target electrochemical energy storage station, represent the power generation power of the thermal power station in the day-ahead market, the power generation power of the wind power station in the day-ahead market, the power generation power of the photovoltaic power station in the day-ahead market, the power of electric energy purchased in the day-ahead market, the day-ahead discharge power, the day-ahead charging power, and the corresponding load demand in the day-ahead market, respectively. represents the total price of electricity generated by the thermal power station, represents the total price of electricity generated by the photovoltaic power station, represents the total price of electricity generated by the wind power station, represents the total power generation price of the target electrochemical energy storage power station, Indicates the total price of electricity purchased, represents the total electricity price corresponding to the load demand in the day-ahead market, N t Represents the number of time granularities within the day; and determines the minimum operating cost of the first entity as the third operating constraint condition corresponding to the electric energy market.

[0180] Optionally, in order to construct the fourth operation constraint condition corresponding to the electric energy market according to the minimum operation cost of the second subject, the second construction module 22 is specifically used to

[0181]

[0182] in, Respectively represent the upward adjustment capacity cost of the thermal power station, the downward adjustment capacity cost of the thermal power station, Respectively represent the transaction quotation of the upward adjustment capacity of the target electrochemical energy storage power station, the transaction quotation of the downward adjustment capacity of the target electrochemical energy storage power station, Indicates the increased capacity of the thermal power station, Indicates the reduced capacity of the thermal power station, represents the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the total price of the capacity service provided by the thermal power station, represents the total price of the capacity service provided by the target electrochemical energy storage power station; and minimizing the operating cost of the second entity is determined as the fourth operating constraint condition corresponding to the electric energy market.

[0183] Optionally, in order to construct the target operating cost minimum model of the target electrochemical energy storage power station, a generation module 23 is specifically used to

[0184]

[0185] in, They represent the clearing price of the day-ahead market, the clearing price of the equilibrium market, and π ω Indicates the probability corresponding to each scenario, They represent the upward adjustment clearing price of the capacity market, the downward adjustment clearing price of the capacity market, LCOE represents the average cost per kilowatt-hour of the target electrochemical energy storage power station, Respectively represent the discharge power on the previous day, the charging power on the previous day, They respectively represent the upward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, They respectively represent the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station and the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station.

[0186] It should be noted that for other corresponding descriptions of the functional units involved in the electrochemical energy storage power station operation strategy generation device provided in the embodiment of the present application, reference can be made to Figures 1 to 2 The corresponding description in the method will not be repeated here.

[0187] Based on the above Figure 1 The method shown in FIG. 1 is a method for performing the above-mentioned operation. Accordingly, the embodiment of the present application further provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the above-mentioned operation is performed. Figure 1 The method for generating an operation strategy for an electrochemical energy storage power station is shown.

[0188] Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.), including a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each implementation scenario of the present application.

[0189] Based on the above Figure 1 The method shown, and Figure 2 In order to achieve the above-mentioned purpose, the embodiment of the present application further provides a computer device, which can be a personal computer, a server, a network device, etc. The computer device includes a storage medium and a processor; the storage medium is used to store a computer program; the processor is used to execute the computer program to achieve the above-mentioned Figure 1 The method for generating an operation strategy for an electrochemical energy storage power station is shown.

[0190] Optionally, the computer device may further include a user interface, a network interface, a camera, a radio frequency (RF) circuit, a sensor, an audio circuit, a Wi-Fi module, etc. The user interface may include a display, an input unit such as a keyboard, etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (such as a Bluetooth interface, a Wi-Fi interface), etc.

[0191] Those skilled in the art will understand that the computer device structure provided in this embodiment does not constitute a limitation on the computer device, and may include more or fewer components, or a combination of certain components, or different component arrangements.

[0192] The storage medium may also include an operating system and a network communication module. An operating system is a program that manages and stores the hardware and software resources of a computer device, supporting the execution of information processing programs and other software and / or programs. The network communication module facilitates communication between components within the storage medium, as well as with other hardware and software within the physical device.

[0193] Through the description of the above embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus the necessary general hardware platform, or by hardware. From the perspective of market participants, not only the target electrochemical energy storage power station is considered, but also other market participants. Not only the first operating constraint constructed by the first operating parameter of the target electrochemical energy storage power station is considered, but also the second operating constraint of other market participants constructed together by the second operating parameters and the first operating constraint of other market participants is considered. From the perspective of multiple market environments, not only the electric energy market is considered, but also the capacity market is considered. Not only the third constraint constructed by minimizing the operating cost of the first entity participating in the electric energy market is considered, but also the fourth constraint constructed by minimizing the operating cost of the second entity participating in the capacity market is considered. Therefore, the electrochemical energy storage power station operation strategy generation model is a target operating cost minimum model of the target electrochemical energy storage power station constructed on the basis of the first constraint, the second constraint, the third constraint, and the fourth constraint. Such an electrochemical energy storage power station operation strategy generation model comprehensively considers the operating cost of the target electrochemical energy storage power station and the effective absorption of renewable energy, so that the operation strategy of the electrochemical energy storage power station in multiple market environments can be reasonably and accurately determined.

[0194] Those skilled in the art will understand that the accompanying drawings are only schematic diagrams of a preferred implementation scenario, and the modules or processes in the accompanying drawings are not necessarily required to implement the present application. Those skilled in the art will understand that the modules in the devices in the implementation scenario can be distributed in the devices of the implementation scenario according to the implementation scenario description, or can be changed accordingly and located in one or more devices different from the implementation scenario. The modules of the above-mentioned implementation scenario can be combined into one module, or can be further split into multiple sub-modules.

[0195] The serial numbers of the above application are for descriptive purposes only and do not represent the advantages or disadvantages of the implementation scenarios. The above disclosure only discloses several specific implementation scenarios of the present application, but the present application is not limited thereto. Any changes that can be conceived by those skilled in the art should fall within the scope of protection of the present application.

Claims

1. A method for generating an operation strategy for an electrochemical energy storage power station, characterized in that: include: Determine a target electrochemical energy storage power station and other market participants among the market participants, establish a first operating constraint condition corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and establish a second operating constraint condition corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint condition corresponding to the target electrochemical energy storage power station; Determine a first entity participating in the electric energy market and a second entity participating in the capacity market among the market participants, establish a third operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the first entity, and establish a fourth operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the second entity; A target operating cost minimization model for the target electrochemical energy storage power station is constructed, and the target operating cost minimization model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition is determined as an electrochemical energy storage power station operation strategy generation model. A target operating strategy for the target electrochemical energy storage power station is generated according to the electrochemical energy storage power station operation strategy generation model, so as to control the target electrochemical energy storage power station based on the target operating strategy.

2. The method according to claim 1, characterized in that The first operating parameters include: maximum discharge power, maximum charging power, energy charging efficiency and energy discharge efficiency, maximum state of charge, minimum state of charge, and energy storage capacity at a fully charged state. The electric energy market includes a day-ahead market and a balancing market. The first operating constraint corresponding to the target electrochemical energy storage power station is established based on the first operating parameters of the target electrochemical energy storage power station, specifically including: Constructing a charging power range constraint and a charging capacity range constraint for the target electrochemical energy storage power station, including: determining a range of the day-ahead charging power of the target electrochemical energy storage power station in the day-ahead market based on the maximum charging power and a charging decision variable indicating whether the target electrochemical energy storage power station is in a charging condition; determining a range of an upward adjustment capacity corresponding to charging of the target electrochemical energy storage power station based on the day-ahead charging power; determining a range of a downward adjustment capacity corresponding to charging of the target electrochemical energy storage power station based on the maximum charging power, the charging decision variable, and the day-ahead charging power; determining a range of a downward adjustment power corresponding to charging of the target electrochemical energy storage power station in the balancing market based on the downward adjustment capacity corresponding to charging; and determining a range of an upward adjustment power corresponding to charging of the target electrochemical energy storage power station in the balancing market based on the upward adjustment capacity corresponding to charging; Constructing a discharge power range constraint and a discharge capacity range constraint for the target electrochemical energy storage power station, including: determining a range of the day-ahead discharge power of the target electrochemical energy storage power station in the day-ahead market based on the maximum discharge power and a discharge decision variable indicating whether the target electrochemical energy storage power station is in a discharging condition; determining a range of a downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station based on the day-ahead discharge power; determining a range of an upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station based on the maximum discharge power, the discharge decision variable, and the day-ahead discharge power; determining a range of a downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market based on the downward adjustment capacity corresponding to the discharge; and determining a range of an upward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market based on the upward adjustment capacity corresponding to the discharge; Constructing the state of charge constraint of the target electrochemical energy storage power station, including: constructing the lower limit of the state of charge of the target electrochemical energy storage power station at the current moment according to the day-ahead discharge power of the target electrochemical energy storage power station, the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the day-ahead charging power of the target electrochemical energy storage power station, the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, the lower limit of the state of charge at the previous moment, the energy charging efficiency, the energy discharge efficiency, and the number of time granularities within a day; and constructing the lower limit of the state of charge of the target electrochemical energy storage power station at the current moment according to the day-ahead discharge power of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the day-ahead charging power of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, the upper limit of the state of charge at the previous moment, the energy charging efficiency, the energy discharge efficiency, and the number of time granularities within a day. The upper bound of the state of charge of the target electrochemical energy storage station at the current moment is constructed using the electrical efficiency and the number of time granularities within a day. The lower bound of the state of charge of the target electrochemical energy storage station at the current moment and the upper bound of the state of charge of the target electrochemical energy storage station at the current moment are both between the maximum state of charge of the electrochemical energy storage station and the minimum state of charge of the electrochemical energy storage station. The lower bound of the state of charge at the initial moment of the target electrochemical energy storage station and the upper bound of the state of charge at the initial moment of the target electrochemical energy storage station are equal and are both the states of charge of the target electrochemical energy storage station at the initial moment. The lower bound of the state of charge at the final moment of the target electrochemical energy storage station and the upper bound of the state of charge at the final moment of the target electrochemical energy storage station are determined based on the state of charge of the target electrochemical energy storage station at the initial moment and the energy storage capacity at the full charge state. Constructing an operating state constraint of the electrochemical energy storage power station according to the charging decision variable and the discharging decision variable; The charging power range constraint, the charging capacity range constraint, the discharging power range constraint, the discharging capacity range constraint, the state of charge constraint, and the operating state constraint are determined as the first operating constraint condition.

3. The method according to claim 2, characterized in that The other market participants include: thermal power stations, wind power stations, and photovoltaic power stations. The second operating parameters include: the maximum power generation power of the thermal power station, the maximum power generation power of the wind power station, the maximum power generation power of the photovoltaic power station, the corresponding load demand in the day-ahead market, and the power of electric energy purchased in the day-ahead market. The second operating constraints corresponding to the other market participants are constructed based on the second operating parameters of the other market participants and the first operating constraints corresponding to the target electrochemical energy storage power station, specifically including: determining a range of the power generation capacity of the thermal power station in the day-ahead market based on the maximum power generation capacity of the thermal power station, determining a range of the capacity increase of the thermal power station based on the maximum power generation capacity of the thermal power station and the power generation capacity of the thermal power station in the day-ahead market, determining a range of the capacity decrease of the thermal power station based on the power generation capacity of the thermal power station in the day-ahead market, determining a range of the power increase of the thermal power station in the day-ahead market based on the power increase capacity of the thermal power station, and determining a range of the power decrease of the thermal power station in the day-ahead market based on the power decrease capacity of the thermal power station; determining a range of wind power generation power in the balancing market according to the maximum power generation power of the wind power station; Determining the range of photovoltaic power generation power in the balancing market according to the maximum power generation power of the photovoltaic power station; determining the day-ahead charging power and the day-ahead discharging power according to the first operating constraint corresponding to the target electrochemical energy storage power station, and obtaining the net output power of the target electrochemical energy storage power station by subtracting the day-ahead charging power from the day-ahead discharging power; Establishing a day-ahead market power balance constraint according to the maximum power generation power of the thermal power station, the maximum power generation power of the wind power station, the maximum power generation power of the photovoltaic power station, the corresponding load demand in the day-ahead market, the power of electric energy purchased in the day-ahead market, and the net output power of the target electrochemical energy storage power station; Determining, based on the first operating constraint corresponding to the target electrochemical energy storage power station, the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the day-ahead charging power, the downward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, and the upward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market; A balancing market power balancing constraint is established according to the power generation power of the thermal power station in the day-ahead market, the upward power regulation of the thermal power station in the day-ahead market, the downward power regulation of the thermal power station in the day-ahead market, the power generation power of the wind power station in the day-ahead market, the power generation power of the photovoltaic power station in the day-ahead market, the power of electric energy purchased in the day-ahead market, the day-ahead discharge power, the upward regulation power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the downward regulation power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the day-ahead charging power, the downward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, the upward regulation power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, and the load demand in the balancing market; The day-ahead market power balance constraint and the balancing market power balance constraint are determined as the second operating constraint condition.

4. The method according to claim 3, characterized in that The determining of the first entity participating in the electric energy market and the second entity participating in the capacity market among the market participants specifically includes: It is determined that among the market participants, the first entity participating in the electric energy market is the thermal power station, the wind power station, the photovoltaic power station and the target electrochemical energy storage power station, and the second entity participating in the capacity market is the thermal power station and the target electrochemical energy storage power station.

5. The method according to claim 4, characterized in that The third operating constraint condition corresponding to the electric energy market is constructed based on minimizing the operating cost of the first entity, specifically including: The specific formula for minimizing the operating cost of the first entity is: Among them, C F,t 、C W,t 、C S,t 、C buy,t 、C L,t 、c Li,dch,t 、c Li,ch,t They respectively represent the power generation cost of the thermal power station, the power generation cost of the wind power station, the power generation cost of the photovoltaic power station, the price of purchased electricity, the highest price provided by the load in the day-ahead market, the electric energy discharge transaction quotation of the target electrochemical energy storage station, and the electric energy charging transaction quotation of the target electrochemical energy storage station, represent the power generation power of the thermal power station in the day-ahead market, the power generation power of the wind power station in the day-ahead market, the power generation power of the photovoltaic power station in the day-ahead market, the power of electric energy purchased in the day-ahead market, the day-ahead discharge power, the day-ahead charging power, and the corresponding load demand in the day-ahead market, respectively. represents the total price of electricity generated by the thermal power station, represents the total price of electricity generated by the photovoltaic power station, represents the total price of electricity generated by the wind power station, represents the total power generation price of the target electrochemical energy storage power station, Indicates the total price of electricity purchased, represents the total electricity price corresponding to the load demand in the day-ahead market, N t Indicates the number of time granularities within the day; Minimizing the operating cost of the first entity is determined as the third operating constraint condition corresponding to the electric energy market.

6. The method according to claim 4, characterized in that The fourth operation constraint condition corresponding to the electric energy market is constructed based on minimizing the operation cost of the second entity, specifically including: The specific formula for minimizing the operating cost of the second entity is: in, Respectively represent the upward adjustment capacity cost of the thermal power station, the downward adjustment capacity cost of the thermal power station, Respectively represent the transaction quotation of the upward adjustment capacity of the target electrochemical energy storage power station, the transaction quotation of the downward adjustment capacity of the target electrochemical energy storage power station, Indicates the increased capacity of the thermal power station, Indicates the reduced capacity of the thermal power station, represents the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, represents the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, represents the total price of the capacity service provided by the thermal power station, represents the total price of the capacity service provided by the target electrochemical energy storage power station; Minimizing the operating cost of the second entity is determined as the fourth operating constraint condition corresponding to the electric energy market.

7. The method according to claim 2, characterized in that The constructing of the target operating cost minimization model of the target electrochemical energy storage power station specifically includes: The specific formula of the target operating cost minimization model of the target electrochemical energy storage power station is: in, They represent the clearing price of the day-ahead market, the clearing price of the equilibrium market, and π ω Represents the probability corresponding to each scenario, where the scenario is obtained by clustering the data set. The data set is the load operation status of a certain area over several years. The load operation status of a certain area over several years is classified into different scenarios through clustering. They represent the upward adjustment clearing price of the capacity market, the downward adjustment clearing price of the capacity market, LCOE represents the average cost per kilowatt-hour of the target electrochemical energy storage power station, Respectively represent the discharge power on the previous day, the charging power on the previous day, They respectively represent the upward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the discharge of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, the downward adjustment power corresponding to the charging of the target electrochemical energy storage power station in the balancing market, They respectively represent the upward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, the downward adjustment capacity corresponding to the discharge of the target electrochemical energy storage power station, They represent the upward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station and the downward adjustment capacity corresponding to the charging of the target electrochemical energy storage power station, respectively, and N t Indicates the number of time granularities within the day.

8. An electrochemical energy storage power station operation strategy generation device, characterized in that: include: A first construction module is configured to determine a target electrochemical energy storage power station and other market participants among the market participants, construct a first operating constraint condition corresponding to the target electrochemical energy storage power station based on a first operating parameter of the target electrochemical energy storage power station, and construct a second operating constraint condition corresponding to the other market participants based on a second operating parameter of the other market participants and the first operating constraint condition corresponding to the target electrochemical energy storage power station; A second construction module is configured to determine a first subject participating in the electric energy market and a second subject participating in the capacity market among the market participants, construct a third operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the first subject, and construct a fourth operating constraint condition corresponding to the electric energy market based on minimizing the operating cost of the second subject; a generation module for constructing a target operating cost minimization model for the target electrochemical energy storage power station, determining the target operating cost minimization model under the first operating constraint condition, the second operating constraint condition, the third operating constraint condition, and the fourth operating constraint condition as an electrochemical energy storage power station operation strategy generation model, and generating a target operating strategy for the target electrochemical energy storage power station according to the electrochemical energy storage power station operation strategy generation model, so as to control the target electrochemical energy storage power station based on the target operating strategy.

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

10. A computer device comprising a storage medium, a processor, and a computer program stored in the storage medium and executable on the processor, wherein: When the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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