Method and device for determining charging and discharging strategy of energy storage power station

Abstract

The embodiments of the present specification provide a method and device for determining a charging and discharging strategy of an energy storage power station, wherein the method for determining a charging and discharging strategy of an energy storage power station comprises: taking the maximum amount of resource acquisition of the energy storage power station within a target period as a target, and constructing a corresponding objective function in combination with the charging and discharging amount, discharge efficiency, and clearing electricity price of the energy storage power station at different times within the target period; determining linear constraints of the objective function, wherein the linear constraints are used to constrain the number of charging and discharging times of the energy storage power station within the target period, as well as the charging and discharging amount and charging and discharging power at different times; determining the charging and discharging amount of the energy storage power station at different times according to the objective function and the linear constraints; and determining the charging and discharging strategy of the energy storage power station according to the charging and discharging amount of the energy storage power station at different times.

Description

Technical Field

[0001] The embodiments of this specification relate to the field of new energy technology, and in particular to a method for determining a charging and discharging strategy of an energy storage power station. Background Art

[0002] Energy storage power stations are equipment systems that store, convert and release cyclical electrical energy through batteries or electromagnetic energy storage media. With the rapid development of battery energy storage technology, a large number of battery energy storage power stations have been put into operation in the power grid and have played a very important role in the operation of the power grid.

[0003] At present, traditional energy storage power stations mainly organize grid operation by means of peak shaving and valley filling. However, with the complexity of grid operation and changes in load patterns, a single charging and discharging control mode is difficult to adapt to the new changes in grid demand. If the output level of the energy storage power station is adjusted only by peak shaving and valley filling, then under extreme operation modes, the voltage of some sites may exceed the limit or the flow level of key interconnection lines may be overloaded, thereby causing large-scale failures in the grid and affecting the safe and stable operation of the grid. Therefore, an effective method is urgently needed to solve such problems. Summary of the invention

[0004] In view of this, an embodiment of this specification provides a method for determining a charging and discharging strategy of an energy storage power station. One or more embodiments of this specification also involve a device for determining a charging and discharging strategy of an energy storage power station, a computing device, a computer-readable storage medium, and a computer program to solve the technical defects existing in the prior art.

[0005] According to a first aspect of an embodiment of this specification, a method for determining a charging and discharging strategy of an energy storage power station is provided, comprising:

[0006] Taking the maximum resource acquisition amount of the energy storage power station within the target period as the goal, a corresponding objective function is constructed by combining the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0007] Determining a linear constraint condition of the objective function, wherein the linear constraint condition is used to constrain the number of charge and discharge times of the energy storage power station within a target period and the charge and discharge amount and charge and discharge power at different times;

[0008] Determining the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraint condition;

[0009] The charging and discharging strategy of the energy storage power station is determined according to the charging and discharging amount of the energy storage power station at different times.

[0010] Optionally, determining the linear constraint condition of the objective function includes:

[0011] Introducing a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging flag, and the second auxiliary variable is a discharging flag;

[0012] A first linear constraint condition of the objective function is constructed based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount of the energy storage power station at different times within a target period, and the extreme value of a single charge and discharge amount of the energy storage power station.

[0013] Optionally, determining the linear constraint condition of the objective function includes:

[0014] Determine the maximum capacity of the battery in the energy storage power station, and determine the maximum allowable percentage of battery power and the minimum allowable percentage of battery power;

[0015] Based on the charge and discharge amount, charge and discharge efficiency, maximum capacity of the battery, maximum allowable proportion of electricity, and minimum allowable proportion of electricity of the energy storage power station at different times within a target period, a second linear constraint condition of the objective function is constructed.

[0016] Optionally, determining the linear constraint condition of the objective function includes:

[0017] Determine the maximum capacity of the battery in the energy storage power station, and determine the number of charge and discharge times of the energy storage power station within a target interval;

[0018] A third linear constraint condition of the objective function is constructed based on the charge and discharge amount, charge and discharge efficiency, the maximum capacity of the battery, and the charge and discharge times of the energy storage power station at different times within a target period.

[0019] Optionally, the objective of maximizing the amount of resource acquisition of the energy storage power station within the target period is to construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period, including:

[0020] Determine the resource loss value of the energy storage power station within the target period according to the charging amount and clearing electricity price of the energy storage power station at different times within the target period;

[0021] Determine the resource acquisition value of the energy storage power station within the target period according to the discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0022] The difference between the resource acquisition value and the resource loss value is determined as the objective function.

[0023] Optionally, determining the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraint condition includes:

[0024] An integer linear programming solution algorithm is used, and the maximum value of the objective function is solved based on the linear constraint condition to obtain the charge and discharge amount of the energy storage power station at different times.

[0025] Optionally, the integer linear programming solution algorithm includes: a branch and bound method or a cutting plane method.

[0026] According to a second aspect of an embodiment of this specification, a device for determining a charging and discharging strategy of an energy storage power station is provided, comprising:

[0027] A construction module is configured to take the maximum resource acquisition amount of the energy storage power station within the target period as the goal, and to construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0028] A first determination module is configured to determine a linear constraint condition of the objective function, wherein the linear constraint condition is used to constrain the number of charge and discharge times of the energy storage power station within a target cycle and the charge and discharge amount and charge and discharge power at different times;

[0029] A processing module, configured to determine the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraint condition;

[0030] The second determination module is configured to determine the charging and discharging strategy of the energy storage power station according to the charging and discharging amount of the energy storage power station at different times.

[0031] According to a third aspect of an embodiment of this specification, a computing device is provided, including:

[0032] Memory and processor;

[0033] The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement any step of the method for determining a charging and discharging strategy of an energy storage power station.

[0034] According to a fourth aspect of the embodiments of this specification, a computer-readable storage medium is provided, which stores computer-executable instructions, and when the instructions are executed by a processor, the steps of any one of the methods for determining a charging and discharging strategy of an energy storage power station are implemented.

[0035] According to a fifth aspect of the embodiments of this specification, a computer program is provided, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned method for determining a charging and discharging strategy of an energy storage power station.

[0036] The embodiments of this specification take the maximum resource acquisition amount of the energy storage power station within the target period as the goal, and construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period; determine the linear constraints of the objective function, wherein the linear constraints are used to constrain the number of charge and discharge times of the energy storage power station within the target period, as well as the charge and discharge amount and charge and discharge power at different times; determine the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraints; determine the charge and discharge strategy of the energy storage power station according to the charge and discharge amount of the energy storage power station at different times. In this way, while ensuring that the resource acquisition amount of the energy storage power station is maximized, the charge and discharge operation strategy of the energy storage power station is optimized, which is beneficial to reducing the energy loss of the energy storage power station, improving the operation efficiency of the energy storage power station, and thus beneficial to improving the stability of the power grid operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of a method for determining a charging and discharging strategy of an energy storage power station provided by an embodiment of this specification;

[0038] Figure 2 It is a process flow chart of a method for determining a charging and discharging strategy of an energy storage power station provided by an embodiment of this specification;

[0039] Figure 3 It is a structural schematic diagram of a device for determining a charging and discharging strategy of an energy storage power station provided by an embodiment of this specification;

[0040] Figure 4 It is a structural block diagram of a computing device provided by an embodiment of this specification. DETAILED DESCRIPTION

[0041] Many specific details are described in the following description to facilitate a full understanding of this specification. However, this specification can be implemented in many other ways than those described herein, and those skilled in the art can make similar generalizations without violating the connotation of this specification, so this specification is not limited to the specific implementation disclosed below.

[0042] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0043] It should be understood that although the terms first, second, etc. may be used to describe various information in one or more embodiments of this specification, this information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first may also be referred to as the second, and similarly, the second may also be referred to as the first. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0044] First, the terms involved in one or more embodiments of this specification are explained.

[0045] State of Charge (SOC): It is used to reflect the remaining capacity of the battery. Its value is defined as the ratio of the remaining capacity to the battery capacity, usually expressed as a percentage. Its value range is 0~1. When "SOC=0", it means that the battery is fully discharged, and when "SOC=1", it means that the battery is fully charged.

[0046] The embodiments of this specification aim at the problem of optimizing the charging and discharging strategy in the power trading decision algorithm, especially when there are restrictions on the number of charging and discharging times and the charging and discharging efficiency, and propose a method for determining the charging and discharging strategy of an energy storage power station, so as to determine the optimal charging and discharging strategy under the condition of known clearing electricity price, so as to achieve the maximum resource acquisition.

[0047] In this specification, a method for determining a charging and discharging strategy of an energy storage power station is provided. This specification also relates to a device for determining a charging and discharging strategy of an energy storage power station, a computing device, a computer-readable storage medium, and a computer program, which are described in detail one by one in the following embodiments.

[0048] Figure 1 A flow chart of a method for determining a charging and discharging strategy of an energy storage power station provided according to an embodiment of the present specification is shown, which specifically includes the following steps.

[0049] Step 102: Taking the maximum resource acquisition amount of the energy storage power station within the target period as the goal, a corresponding objective function is constructed in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period.

[0050] Specifically, the resource acquisition amount of the energy storage power station may be the resource amount of resources acquired by the energy storage power station by providing power to other load devices.

[0051] The embodiment of this specification takes the maximum resource acquisition amount of the energy storage power station as the goal, takes the charge and discharge amount of the energy storage power station at different times as the parameter to be optimized, and optimizes the charge and discharge amount at different times to obtain the maximum value of the resource acquisition amount.

[0052] In addition, since the amount of resource acquisition is related to the discharge efficiency and the clearing electricity price in addition to the charge and discharge amount, the embodiment of this specification takes the maximum amount of resource acquisition of the energy storage power station within the target period as the goal, and constructs a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period.

[0053] In practical applications, the amount of resources acquired by an energy storage power station can be the amount of capital acquired, that is, the total profit or total revenue of the energy storage power station.

[0054] In an optional implementation, the objective is to maximize the amount of resource acquisition of the energy storage power station within the target period, and to construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency, and clearing electricity price of the energy storage power station at different times within the target period, including:

[0055] Determine the resource loss value of the energy storage power station within the target period according to the charging amount and clearing electricity price of the energy storage power station at different times within the target period;

[0056] Determine the resource acquisition value of the energy storage power station within the target period according to the discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0057] The difference between the resource acquisition value and the resource loss value is determined as the objective function.

[0058] Specifically, the objective function constructed in the embodiment of this specification is as follows:

[0059] Formula (1)

[0060] Among them, f is the resource acquisition of the energy storage power station; i represents the identifier of the moment, and the value range of i is 1 to n, representing each point in an ordered time series. n represents the sample capacity, which represents the number of points in the ordered time series. represents the charge at the i-th moment, Represents the discharge amount at the i-th moment. represents the clearing electricity price at the i-th moment, belongs to real numbers, depending on the situation, Can be positive, negative, or zero. represents the discharge efficiency, . and is a constant.

[0061] In the embodiments of this specification, the energy storage power station can obtain resources (income) when discharging to the outside, and the resource acquisition value at the i-th moment is the product of the discharge amount, discharge efficiency and clearing electricity price at that moment; while the energy storage power station cannot discharge to the outside during the charging process, it cannot obtain resources, which is equivalent to a loss for the energy storage power station. The resource loss value of the energy storage power station at the i-th moment is the product of the charging amount and the clearing electricity price at that moment.

[0062] Based on this, the difference between the resource acquisition value and the resource loss value of the energy storage power station within the target period can be determined as the objective function.

[0063] In formula (1), That is, it represents the resource loss value of the energy storage power station in the target period. It means the resource acquisition value of the energy storage power station in the target cycle. Since the energy storage power station will lose electricity during the discharge process, that is, the discharge amount of the energy storage power station is inconsistent with the actual discharge amount, and when calculating the resource acquisition value, it is necessary to calculate according to the actual discharge amount. Therefore, the discharge efficiency is introduced in formula (1). , That is, it represents the actual discharge amount at the i-th moment.

[0064] In practical applications, the aforementioned ordered time series can be generated by dividing a continuous time length into equal intervals, and this continuous time length can be one day, one month or one year, etc., and the division interval can be 15 minutes, 1 hour or one day, etc., which can be determined according to actual needs and is not limited here.

[0065] Step 104: Determine the linear constraint conditions of the objective function, wherein the linear constraint conditions are used to constrain the number of charge and discharge times of the energy storage power station within the target cycle, as well as the charge and discharge amount and charge and discharge power at different times.

[0066] Specifically, after the objective function is constructed, the constraint conditions corresponding to the objective function can be determined, and the constraint conditions of the embodiment of this specification are linear constraint conditions.

[0067] In an optional implementation, determining the linear constraint condition of the objective function includes:

[0068] Introducing a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging flag, and the second auxiliary variable is a discharging flag;

[0069] A first linear constraint condition of the objective function is constructed based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount of the energy storage power station at different times within a target period, and the extreme value of a single charge and discharge amount of the energy storage power station.

[0070] Specifically, the first auxiliary variable introduced is , the second auxiliary variable is , represents the charging mark at the i-th moment, represents the discharge mark at the ith moment, and . The value is 1, which means that the energy storage station is charging at the i-th moment. If the value is 0, it means that the energy storage station is not charged at the i-th moment; If the value is 1, it means that the energy storage power station discharges at the i-th moment. If the value is 0, it means that the energy storage power station is not discharging at the i-th moment.

[0071] Define variables:

[0072] Formula (2)

[0073] Formula (3)

[0074] in, Represents the maximum value of a single charge and discharge, which is a constant.

[0075] Based on the auxiliary variables and the above formulas (2) and (3), the first linear constraint condition is constructed as follows:

[0076] Formula (4)

[0077] Formula (5)

[0078] Formula (6)

[0079] Formula (7)

[0080] Formula (8)

[0081] in, This is the minimum value of a single charge and discharge. This value is just a small value used to ensure that x is greater than 0.

[0082] The purpose of the above five inequalities is to design them so that the auxiliary variables and Restricted to charge and discharge marking.

[0083] Specifically, formula (4) shows that and cannot be 1 at the same time, thus ensuring that at each moment i, charging and discharging cannot occur at the same time.

[0084] Formula (5) and formula (6) show that when and When the value of is 0, , ,so and Less than or equal to 0, considering the definition range of x ,therefore and must be zero; and when and When the value of is 1, , ,therefore and Less than or equal to , considering the definition range of x Based on this, it can be determined and The value range is .

[0085] Although these restrictions have taken into account most of the cases, there is still a problem when the restrictions of formula (4), formula (5) and formula (6) are combined. and When the value of is 1, and It can be 0, which will result in and When it is equal to zero, and is 1, which is consistent with and Therefore, formula (7) and formula (8) are needed to and When the value of is 1, and The value of is specially supplemented. Specifically, when and When the value is 1, it is necessary to limit , in order to resolve the aforementioned contradiction.

[0086] In addition, for In theory, the smaller The value can be more accurately close to 0, but in practical applications, it is very important to choose a reasonable small value, because the accuracy problem in numerical calculation may cause the performance of the solver to deteriorate or the solution result to be inaccurate. When choosing a value, consider three factors:

[0087] 1) Numerical stability: If the value chosen is too small, such as 10 -6or smaller, may cause numerical stability issues due to the limited precision of floating-point operations on computers. In some cases, these small values ​​may be rounded to 0, affecting the accuracy of the model.

[0088] 2) Solver performance: A value that is too small will increase the computational complexity of the solver, which may result in increased solution time or difficulty in solving the problem.

[0089] 3) Actual needs: The selected value should reflect the needs of the actual problem.

[0090] In the embodiments of this specification, When 0.01 is small enough to ensure and If it is greater than 0 and does not affect the overall solution, then this value is appropriate. If a more accurate value is required, a smaller value can be selected, but a trade-off between numerical stability and solution performance is required.

[0091] In an optional implementation, determining the linear constraint condition of the objective function includes:

[0092] Determine the maximum capacity of the battery in the energy storage power station, and determine the maximum allowable percentage of battery power and the minimum allowable percentage of battery power;

[0093] Based on the charge and discharge amount, charge and discharge efficiency, maximum capacity of the battery, maximum allowable proportion of electricity, and minimum allowable proportion of electricity of the energy storage power station at different times within the target cycle, a second linear constraint condition of the objective function is constructed.

[0094] Specifically, since the energy storage power station must meet the basic common sense of battery charging and discharging status, that is, it must ensure that there is electricity when discharging and must meet the maximum capacity limit, based on this, the second linear constraint condition constructed is as follows:

[0095] Formula (9)

[0096] in, Represents the maximum capacity of the battery; Represents the minimum allowable percentage of battery power; Represents the maximum allowable percentage of battery power. and All are floating point decimals between 0 and 1, that is, . Represents the charging efficiency, . , , , as well as are all constants.

[0097] In an optional implementation, determining the linear constraint condition of the objective function includes:

[0098] Determine the maximum capacity of the battery in the energy storage power station, and determine the number of charge and discharge times of the energy storage power station within a target interval;

[0099] A third linear constraint condition of the objective function is constructed based on the charge and discharge amount, charge and discharge efficiency, the maximum capacity of the battery, and the charge and discharge times of the energy storage power station at different times within a target period.

[0100] Specifically, the third linear constraint condition constructed is as follows:

[0101] Formula (10)

[0102] in, Represents the number of charge and discharge times, which is a constant.

[0103] In the embodiments of this specification, in the above formula, the charge amount and discharge amount are recorded separately. Charging is generally regarded as a negative number, and the charging mark can be used to assist in confirming whether it is currently in the charging state. To indicate the charging process, To represent the discharge process. and If the value of is 0, it means that it is neither charging nor discharging. and By multiplying the corresponding expressions of charging and discharging, the charging efficiency and discharging efficiency can be set separately. This method can also handle the situation where the charging efficiency and discharging efficiency are not equal.

[0104] Step 106: Determine the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraint condition.

[0105] Specifically, after the auxiliary variables are introduced, the objective function and the constraints constitute an integer linear programming problem with auxiliary variables. Therefore, the traditional integer linear programming solution algorithm can be used to efficiently solve the problem.

[0106] Based on this, according to the objective function and the linear constraints, the charge and discharge amount of the energy storage power station at different times is determined. Specifically, an integer linear programming solution algorithm can be used, and the maximum value of the objective function is solved based on the linear constraints to obtain the charge and discharge amount of the energy storage power station at different times.

[0107] In the embodiments of this specification, the integer linear programming solution algorithm may be a branch and bound method or a cutting plane method, etc. In practical applications, other types of integer linear programming solution algorithms may also be used for solution. For example, the integer linear programming problem may be first converted into a linear programming problem by using a constraint relaxation method, and then the linear programming problem may be solved by using an interior point method or a simplex method, etc. The specific algorithm may be determined according to actual needs and is not limited here.

[0108] Step 108: Determine the charging and discharging strategy of the energy storage power station according to the charging and discharging amount of the energy storage power station at different times.

[0109] Specifically, the charging and discharging strategy of the energy storage power station can be represented by the charging and discharging amounts at different times.

[0110] After determining the charge and discharge amounts of the energy storage power station at different times, the charge and discharge strategy is determined according to the charge and discharge amounts. Specifically, the determined charge and discharge amounts at different times can be directly used as the charge and discharge strategy of the energy storage power station, or the determined charge and discharge amounts at different times can be adjusted accordingly according to emergencies that occur in real time during the charge and discharge process of the energy storage power station, and the adjustment result is determined as the charge and discharge strategy of the energy storage power station.

[0111] The embodiment of this specification introduces an auxiliary variable of the charge and discharge identifier, which effectively simplifies the expression of the charge and discharge times and the charge and discharge status, thereby avoiding the use of complex nonlinear expressions. This optimization significantly simplifies the complexity of the model when constructing the objective function, simplifies the solution process, and improves the interpretability and practicality of the model.

[0112] In addition, since linear programming problems have better numerical stability than nonlinear programming problems, the introduction of auxiliary variables can reduce the numerical errors in the calculation process, thereby improving the stability of the solution. Therefore, the embodiments of this specification carefully weigh the characteristics of the specific problem and the numerical characteristics of the solver, so that the constructed auxiliary variables better describe the constraints and linkage relationships between the variables. Then, using the characteristics of the auxiliary variables, the constraints of the number of charge and discharge times and the charge and discharge efficiency are easily achieved.

[0113] In addition, since the solution methods for linear programming problems are more mature and extensive, the introduction of auxiliary variables allows nonlinear problems that may not be easy to solve to be solved by linear programming methods, which expands the scope of application of the problem. Moreover, linear programming problems usually have lower solution complexity than nonlinear programming problems. The introduction of auxiliary variables can reduce the complexity of the problem and reduce the time and resource cost required for solving it.

[0114] The embodiments of this specification take the maximum resource acquisition amount of the energy storage power station within the target period as the goal, and construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period; determine the linear constraints of the objective function, wherein the linear constraints are used to constrain the number of charge and discharge times of the energy storage power station within the target period, as well as the charge and discharge amount and charge and discharge power at different times; determine the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraints; determine the charge and discharge strategy of the energy storage power station according to the charge and discharge amount of the energy storage power station at different times. In this way, while ensuring that the benefits of the energy storage power station are maximized, the charge and discharge operation strategy of the energy storage power station is optimized, which is beneficial to reducing the energy loss of the energy storage power station, improving the operation efficiency of the energy storage power station, and thus helping to improve the stability of the power grid operation.

[0115] The following combination Figure 2 , the method for determining the charging and discharging strategy of the energy storage power station is further described. Figure 2 A flowchart of a processing process of a method for determining a charging and discharging strategy of an energy storage power station provided by an embodiment of this specification is shown, which specifically includes the following steps.

[0116] Step 202: Taking the maximum profit of the energy storage power station in the target period as the target, a corresponding objective function is constructed in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times in the target period.

[0117] Step 204: introducing a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging flag, and the second auxiliary variable is a discharging flag.

[0118] Step 206: construct a first linear constraint condition of the objective function based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount of the energy storage power station at different times within the target period, and the single charge and discharge amount extreme value of the energy storage power station.

[0119] Step 208: Determine the maximum capacity of the battery in the energy storage power station, and determine the maximum allowable percentage of battery power and the minimum allowable percentage of battery power.

[0120] Step 210: Based on the charge and discharge amount, charge and discharge efficiency, maximum battery capacity, maximum allowable power percentage, and minimum allowable power percentage of the energy storage power station at different times within the target period, a second linear constraint condition of the objective function is constructed.

[0121] Step 212: Determine the maximum capacity of the battery in the energy storage power station, and determine the number of charge and discharge times of the energy storage power station within the target interval.

[0122] Step 214: construct a third linear constraint of the objective function based on the charge and discharge capacity, charge and discharge efficiency, maximum battery capacity, and charge and discharge times of the energy storage power station at different times within the target cycle.

[0123] Step 216: using an integer linear programming solution algorithm, and solving the maximum value of the objective function based on the first, second, and third linear constraints, to obtain the charge and discharge amounts of the energy storage power station at different times.

[0124] Step 218: Determine the charging and discharging strategy of the energy storage power station according to the charging and discharging amount of the energy storage power station at different times.

[0125] The embodiments of this specification use this processing method to optimize the charging and discharging operation strategy of the energy storage power station while ensuring that the energy storage power station's benefits are maximized, which is beneficial to reducing the energy loss of the energy storage power station and improving the operating efficiency of the energy storage power station, thereby helping to improve the stability of the power grid operation.

[0126] Corresponding to the above method embodiment, this specification also provides an embodiment of a device for determining a charging and discharging strategy of an energy storage power station. Figure 3 FIG. 1 is a schematic diagram showing a structure of a device for determining a charging and discharging strategy of an energy storage power station provided by an embodiment of the present specification. Figure 3 As shown, the device comprises:

[0127] A construction module 302 is configured to construct a corresponding objective function with the goal of maximizing the amount of resource acquisition of the energy storage power station within the target period, combining the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0128] A first determination module 304 is configured to determine a linear constraint condition of the objective function, wherein the linear constraint condition is used to constrain the number of charge and discharge times of the energy storage power station within a target period and the charge and discharge amount and charge and discharge power at different times;

[0129] The processing module 306 is configured to determine the charge and discharge amount of the energy storage power station at different times according to the objective function and the linear constraint condition;

[0130] The second determination module 308 is configured to determine the charge and discharge strategy of the energy storage power station according to the charge and discharge amount of the energy storage power station at different times.

[0131] Optionally, the first determining module 304 is further configured to:

[0132] Introducing a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging flag, and the second auxiliary variable is a discharging flag;

[0133] A first linear constraint condition of the objective function is constructed based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount of the energy storage power station at different times within a target period, and the extreme value of a single charge and discharge amount of the energy storage power station.

[0134] Optionally, the first determining module 304 is further configured to:

[0135] Determine the maximum capacity of the battery in the energy storage power station, and determine the maximum allowable percentage of battery power and the minimum allowable percentage of battery power;

[0136] Based on the charge and discharge amount, charge and discharge efficiency, maximum capacity of the battery, maximum allowable proportion of electricity, and minimum allowable proportion of electricity of the energy storage power station at different times within a target period, a second linear constraint condition of the objective function is constructed.

[0137] Optionally, the first determining module 304 is further configured to:

[0138] Determine the maximum capacity of the battery in the energy storage power station, and determine the number of charge and discharge times of the energy storage power station within a target interval;

[0139] A third linear constraint condition of the objective function is constructed based on the charge and discharge amount, charge and discharge efficiency, the maximum capacity of the battery, and the charge and discharge times of the energy storage power station at different times within a target period.

[0140] Optionally, the construction module 302 is further configured to:

[0141] Determine the resource loss value of the energy storage power station within the target period according to the charging amount and clearing electricity price of the energy storage power station at different times within the target period;

[0142] Determine the resource acquisition value of the energy storage power station within the target period according to the discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period;

[0143] The difference between the resource acquisition value and the resource loss value is determined as the objective function.

[0144] Optionally, the processing module 306 is further configured to:

[0145] An integer linear programming solution algorithm is used, and the maximum value of the objective function is solved based on the linear constraint condition to obtain the charge and discharge amount of the energy storage power station at different times.

[0146] Optionally, the integer linear programming solution algorithm includes: a branch and bound method or a cutting plane method.

[0147] The above is a schematic scheme of a device for determining a charge and discharge strategy of an energy storage power station of this embodiment. It should be noted that the technical scheme of the device for determining a charge and discharge strategy of the energy storage power station and the technical scheme of the method for determining a charge and discharge strategy of the energy storage power station described above belong to the same concept, and the details of the technical scheme of the device for determining a charge and discharge strategy of the energy storage power station that are not described in detail can all be referred to the description of the technical scheme of the method for determining a charge and discharge strategy of the energy storage power station described above.

[0148] Figure 4 The block diagram of a computing device 400 according to one embodiment of the present specification is shown. The components of the computing device 400 include but are not limited to a memory 410 and a processor 420. The processor 420 is connected to the memory 410 via a bus 430, and the database 450 is used to store data.

[0149] The computing device 400 also includes an access device 440 that enables the computing device 400 to communicate via one or more networks 460. Examples of these networks include a public switched telephone network (PSTN), a local area network (LAN), a wide area network (WAN), a personal area network (PAN), or a combination of communication networks such as the Internet. The access device 440 may include one or more of any type of network interface (e.g., a network interface card (NIC)) that is wired or wireless, such as an IEEE 802.11 wireless local area network (WLAN) wireless interface, a World Wide Interoperability for Microwave Access (Wi-MAX) interface, an Ethernet interface, a universal serial bus (USB) interface, a cellular network interface, a Bluetooth interface, a near field communication (NFC) interface, and the like.

[0150] In one embodiment of the present specification, the above components of the computing device 400 and Figure 4 Other components not shown in the figure may also be connected to each other, for example, via a bus. It should be understood that Figure 4 The computing device structure block diagram shown is only for the purpose of illustration, and is not intended to limit the scope of this specification. Those skilled in the art can add or replace other components as needed.

[0151] Computing device 400 may be any type of stationary or mobile computing device, including a mobile computer or mobile computing device (e.g., a tablet computer, a personal digital assistant, a laptop computer, a notebook computer, a netbook, etc.), a mobile phone (e.g., a smart phone), a wearable computing device (e.g., a smart watch, smart glasses, etc.), or other types of mobile devices, or a stationary computing device such as a desktop computer or PC. Computing device 400 may also be a mobile or stationary server.

[0152] The processor 420 is used to execute the following computer executable instructions, which, when executed by the processor, implement the steps of the method for determining the charging and discharging strategy of the above-mentioned energy storage power station.

[0153] The above is a schematic scheme of a computing device of this embodiment. It should be noted that the technical scheme of the computing device and the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station belong to the same concept, and the details not described in detail in the technical scheme of the computing device can be referred to the description of the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station.

[0154] An embodiment of the present specification further provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the above-mentioned method for determining a charging and discharging strategy of an energy storage power station.

[0155] The above is a schematic scheme of a computer-readable storage medium of this embodiment. It should be noted that the technical scheme of the storage medium and the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station belong to the same concept, and the details not described in detail in the technical scheme of the storage medium can be referred to the description of the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station.

[0156] An embodiment of the present specification further provides a computer program, wherein when the computer program is executed in a computer, the computer is caused to execute the steps of the above-mentioned method for determining a charging and discharging strategy of an energy storage power station.

[0157] The above is a schematic scheme of a computer program of this embodiment. It should be noted that the technical scheme of the computer program and the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station belong to the same concept, and the details not described in detail in the technical scheme of the computer program can be referred to the description of the technical scheme of the above-mentioned method for determining the charging and discharging strategy of the energy storage power station.

[0158] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0159] The computer instructions include computer program codes, which may be in source code form, object code form, executable files or some intermediate forms, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0160] It should be noted that, for the above-mentioned method embodiments, for the sake of simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the embodiments of this specification are not limited by the order of the actions described, because according to the embodiments of this specification, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required by the embodiments of this specification.

[0161] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0162] The preferred embodiments of this specification disclosed above are only used to help explain this specification. The optional embodiments do not describe all the details in detail, nor do they limit the invention to only the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of the embodiments of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the embodiments of this specification, so that technicians in the relevant technical field can well understand and use this specification. This specification is only limited by the claims and their full scope and equivalents.

Claims

1. A method for determining a charging and discharging strategy of an energy storage power station, comprising: Taking the maximum resource acquisition amount of the energy storage power station within the target period as the goal, a corresponding objective function is constructed by combining the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period; Constructing a first linear constraint condition based on the charge and discharge amount, the charge and discharge efficiency of the energy storage power station at different times within a target period, the maximum capacity of the battery in the energy storage power station, and the number of charge and discharge times of the energy storage power station within a target interval; Introducing a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging flag, and the second auxiliary variable is a discharging flag; Constructing a second linear constraint condition based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount, and the single charge and discharge amount extreme value of the energy storage power station; Constructing a third linear constraint condition based on the charge and discharge amount, the charge and discharge efficiency, the maximum capacity of the battery, the maximum allowable proportion of electricity in the energy storage power station, and the minimum allowable proportion of electricity; Determining target charge and discharge amounts of the energy storage power station at different target times according to the objective function, the first linear constraint condition, the second linear constraint condition, and the third linear constraint condition; The charging and discharging strategy of the energy storage power station is determined according to the target charging and discharging amount.

2. The method for determining a charging and discharging strategy of an energy storage power station according to claim 1, further comprising: Determine the maximum capacity of the battery in the energy storage power station, and determine the maximum allowable percentage of battery power and the minimum allowable percentage of battery power.

3. The method for determining the charging and discharging strategy of an energy storage power station according to claim 1, wherein the objective is to maximize the amount of resource acquisition of the energy storage power station within the target period, and a corresponding objective function is constructed in combination with the charging and discharging amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period, including: Determine the resource loss value of the energy storage power station within the target period according to the charging amount and clearing electricity price of the energy storage power station at different times within the target period; Determine the resource acquisition value of the energy storage power station within the target period according to the discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period; The difference between the resource acquisition value and the resource loss value is determined as the objective function.

4. The method for determining a charge and discharge strategy of an energy storage power station according to claim 1, wherein determining the target charge and discharge amount of the energy storage power station at different target times according to the objective function, the first linear constraint condition, the second linear constraint condition, and the third linear constraint condition comprises: An integer linear programming solution algorithm is used, and the maximum value of the objective function is solved based on the first linear constraint condition, the second linear constraint condition, and the third linear constraint condition to obtain the target charge and discharge amount of the energy storage power station at different target times.

5. According to the method for determining the charging and discharging strategy of the energy storage power station according to claim 4, the integer linear programming solution algorithm comprises: Branch and bound or cutting plane method.

6. A device for determining a charging and discharging strategy of an energy storage power station, comprising: A construction module is configured to take the maximum resource acquisition amount of the energy storage power station within the target period as the goal, and to construct a corresponding objective function in combination with the charge and discharge amount, discharge efficiency and clearing electricity price of the energy storage power station at different times within the target period; A first determination module is configured to construct a first linear constraint condition based on the charge and discharge amount, the charge and discharge efficiency of the energy storage power station at different times within a target period, the maximum capacity of the battery in the energy storage power station, and the number of charge and discharge times of the energy storage power station within a target interval; The first determination module is further configured to introduce a first auxiliary variable and a second auxiliary variable, wherein the first auxiliary variable is a charging identifier, and the second auxiliary variable is a discharging identifier, and to construct a second linear constraint condition based on the first auxiliary variable, the second auxiliary variable, the charge and discharge amount, and the single charge and discharge amount extreme value of the energy storage power station; and to construct a third linear constraint condition based on the charge and discharge amount, the charge and discharge efficiency, the maximum capacity of the battery, the maximum allowable proportion of electricity in the energy storage power station, and the minimum allowable proportion of electricity; a processing module, configured to determine target charge and discharge amounts of the energy storage power station at different target times according to the objective function, the first linear constraint condition, the second linear constraint condition, and the third linear constraint condition; The second determination module is configured to determine the charge and discharge strategy of the energy storage power station according to the target charge and discharge amount.

7. A computing device comprising: Memory and processor; The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions. When the computer-executable instructions are executed by the processor, the steps of the method for determining the charging and discharging strategy of the energy storage power station described in any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, implement the steps of the method for determining a charging and discharging strategy of an energy storage power station as claimed in any one of claims 1 to 5.

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