Method and device for determining declared capacity of energy storage equipment and electronic equipment

Abstract

The invention discloses a method and a device for determining the declared capacity of energy storage equipment and electronic equipment. The method comprises the following steps: determining a plurality of candidate declared capacities of the energy storage equipment in a preset time length; determining target frequency modulation benefits respectively corresponding to the plurality of candidate declaration capacities; target arbitrage benefits corresponding to the multiple residual capacities are determined, the target arbitrage benefits at least comprise peak regulation benefits and peak-valley arbitrage benefits, and the residual capacities refer to the residual capacities of the candidate declaration capacities after the frequency modulation service is completed; determining target benefits corresponding to the multiple candidate declaration capacities based on the target frequency modulation benefits corresponding to the multiple candidate declaration capacities and the target arbitrage benefits corresponding to the multiple residual capacities; and determining the candidate declared capacity corresponding to the maximum benefit in the target benefits as the target declared capacity of the energy storage equipment in the predetermined duration. According to the method and the device, the technical problem of inaccurate determination result of the declared capacity of the energy storage equipment in the prior art is solved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system automation and control, in particular to a method and device for determining the declared capacity of an energy storage device and an electronic device. BACKGROUND

[0002] In a power system, with the continuous growth of renewable energy (such as wind energy and solar energy) installed capacity, its inherent intermittency and volatility have put higher requirements on the stability and flexibility of the power system. Energy storage devices, due to their fast response capability and bidirectional energy flow characteristics, have become an important bridge connecting renewable energy generation and the power grid, and can significantly improve power quality, support grid peak shaving and frequency modulation, and other auxiliary services. How to efficiently and intelligently determine the declared capacity of the energy storage device to maximize the economic benefits of the energy storage device and improve the operation efficiency of the power system has become a key problem to be solved.

[0003] In related technologies, a fixed proportion method is used to determine the declared capacity of the energy storage device, that is, the energy storage device determines the declared capacity according to a fixed proportion of its total capacity to participate in frequency modulation services. The fixed proportion method ignores real-time market changes and dynamic state of charge of the energy storage device, which may result in that the declared capacity of the energy storage device does not match the actual market demand, thereby affecting its economic benefits. Therefore, the related technologies have the problem of inaccurate determination of the declared capacity of the energy storage device.

[0004] At present, no effective solution has been proposed for the above problems. SUMMARY

[0005] Embodiments of the present application provide a method and device for determining the declared capacity of an energy storage device and an electronic device to at least solve the technical problem of inaccurate determination of the declared capacity of the energy storage device in related technologies.

[0006] According to an aspect of an embodiment of the present application, a method for determining the declared capacity of an energy storage device is provided, which includes: determining a plurality of candidate declared capacities of the energy storage device in a predetermined time period; determining target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; determining target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak shaving benefits and peak-valley arbitrage benefits, the residual capacity refers to the capacity remaining after the candidate declared capacity completes frequency modulation services, and the plurality of candidate declared capacities and the plurality of residual capacities correspond one by one; determining target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively; and determining the candidate declared capacity corresponding to the maximum benefit in the target benefits as the target declared capacity of the energy storage device in the predetermined time period.

[0007] According to a further aspect of the embodiments of the present application, a device for determining a declared capacity of an energy storage device is provided. The device includes a first determining module configured to determine a plurality of candidate declared capacities of the energy storage device for a predetermined time period; a second determining module configured to determine a plurality of target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; a third determining module configured to determine a plurality of target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits include at least a peak shaving benefit and a peak-valley arbitrage benefit, the residual capacities are capacities remaining after the candidate declared capacities complete frequency modulation services, and the plurality of candidate declared capacities correspond to the plurality of residual capacities one by one; a target benefit determining module configured to determine a plurality of target benefits corresponding to the plurality of candidate declared capacities respectively based on the plurality of target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the plurality of target arbitrage benefits corresponding to the plurality of residual capacities respectively; and a target declared capacity determining module configured to determine a candidate declared capacity corresponding to a maximum benefit in the target benefits as a target declared capacity of the energy storage device for the predetermined time period.

[0008] According to a further aspect of the embodiments of the present application, a non-transitory storage medium is provided. The non-transitory storage medium stores a plurality of instructions. The instructions are adapted to be loaded and executed by a processor to implement any of the methods for determining a declared capacity of an energy storage device.

[0009] According to a further aspect of the embodiments of the present application, an electronic device is provided. The electronic device includes one or more processors and a memory. The memory is configured to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors are caused to implement any of the methods for determining a declared capacity of an energy storage device.

[0010] According to a further aspect of the embodiments of the present application, a computer program product is provided. When executed on a data processing device, the computer program product is adapted to implement the steps of the method for determining a declared capacity of an energy storage device.

[0011] In the embodiment of the present application, the energy storage device is determined in a plurality of candidate declared capacities in a predetermined time length; the target frequency modulation benefits corresponding to the plurality of candidate declared capacities are determined; the target arbitrage benefits corresponding to the plurality of residual capacities are determined, wherein the target arbitrage benefits at least include the peak shaving benefits and the peak-valley arbitrage benefits, the residual capacity refers to the capacity remaining after the candidate declared capacity completes the frequency modulation service, the plurality of candidate declared capacities and the plurality of residual capacities correspond one by one; based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities and the target arbitrage benefits corresponding to the plurality of residual capacities, the target benefits corresponding to the plurality of candidate declared capacities are determined; the candidate declared capacity corresponding to the maximum benefit in the target benefits is determined as the target declared capacity of the energy storage device in the predetermined time length. The purpose of determining the declared capacity of the energy storage device by comprehensively evaluating the frequency modulation benefits under different candidate declared capacities and the arbitrage benefits of the residual capacity after completing the frequency modulation service is achieved, the technical effect of improving the accuracy of the declared capacity determination result of the energy storage device is realized, and the technical problem of inaccurate declared capacity determination result of the energy storage device in the related art is solved. BRIEF DESCRIPTION OF DRAWINGS

[0012] The drawings described herein are used to provide further understanding of the present application, and form 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 improper limitations on the present application. In the drawings:

[0013] Figure 1 It is a flow chart of an optional declared capacity determination method of an energy storage device according to the embodiment of the present application;

[0014] Figure 2 It is a structural block diagram of an optional declared capacity determination method of an energy storage device according to the embodiment of the present application;

[0015] Figure 3 It is a schematic diagram of an optional declared capacity determination device of an energy storage device according to the embodiment of the present application. DETAILED DESCRIPTION

[0016] In order to enable the persons skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the persons skilled in the art without creative labor should be within the protection scope of the present application.

[0017] It should be noted that the terms "first", "second", and the like in the description and in the claims of the present application and the above-described accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular chronological or sequential order. It should be understood that the data thus used can be interchanged under appropriate circumstances so that the embodiments of the present application described herein can be implemented in other than the order illustrated or described herein. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that includes a list of steps or units is not necessarily limited to those steps or units that are clearly listed, but can include other steps or units that are not clearly listed or inherent to such processes, methods, products, or apparatuses.

[0018] According to an embodiment of the present application, a method embodiment of a method for determining the declared capacity of an energy storage device is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0019] Figure 1 is a flowchart of an optional method for determining the declared capacity of an energy storage device according to an embodiment of the present application, as shown in Figure 1 The method comprises the following steps:

[0020] Step S102, determining a plurality of candidate declared capacities of the energy storage device in a predetermined time period;

[0021] It can be understood that the plurality of candidate declared capacities of the energy storage device in the predetermined time period (e.g. a running day with a time length of 24 hours) are a plurality of possible frequency adjustment declared capacities in the target declared capacity range of the energy storage device in the predetermined time period. By generating a plurality of candidate declared capacities, the optimization of the energy storage device in the power market participation strategy can be realized, and the adaptability of the energy storage device to the power demand can be improved.

[0022] In an optional embodiment, determining the plurality of candidate declared capacities of the energy storage device in the predetermined time period comprises: determining a target declared capacity range of the energy storage device in the predetermined time period, and a minimum declared unit capacity of the energy storage device in the predetermined time period, wherein the minimum declared unit capacity refers to the minimum capacity increment of the candidate declared capacity; based on the target declared capacity range and the minimum declared unit capacity, determining the plurality of candidate declared capacities.

[0023] It can be understood that the target declaration capacity range of the energy storage device in the predetermined time length, i.e., the lower limit and the upper limit of the minimum declaration capacity and the maximum declaration capacity, and the minimum declaration unit capacity of the energy storage device in the predetermined time length, which represents the minimum capacity increment of the candidate declaration capacity, are determined. The minimum declaration capacity of the target declaration capacity range is increased in multiples of the minimum declaration unit capacity until the maximum declaration capacity is reached, and a plurality of candidate declaration capacities are obtained. By systematically determining a plurality of candidate declaration capacities based on the minimum capacity increment, the flexibility and adaptability of the energy storage device to market rules, actual working conditions, and power demand can be improved, and the accuracy of the declaration capacity determination result can be improved.

[0024] In an optional embodiment, determining the target declaration capacity range of the energy storage device in the predetermined time length comprises: determining an initial declaration capacity range of the energy storage device in the predetermined time length based on the historical declaration capacity range of the energy storage device and the energy storage configuration requirements of the energy storage device; determining weather information, load prediction information, and price fluctuation information of the region where the energy storage device is located in the predetermined time length, and the current state of charge of the energy storage device; determining a correction coefficient based on the weather information, the load prediction information, the price fluctuation information, and the current state of charge; and correcting the initial declaration capacity range using the correction coefficient to obtain the target declaration capacity range.

[0025] It can be understood that, according to the historical data of the energy storage device, the historical declaration capacity range of the energy storage device in the historical time period is obtained, and the initial declaration capacity range of the energy storage device in the predetermined time length is determined in combination with the energy storage configuration requirements (such as maximum charge and discharge power requirements and maximum battery capacity requirements) of the energy storage device. According to the weather information, the load prediction information, and the price fluctuation information of the region where the energy storage device is located in the predetermined time length, and the current state of charge of the energy storage device, a correction coefficient for correcting the initial declaration capacity range is determined. The initial declaration capacity range is corrected using the above correction coefficient to obtain the target declaration capacity range of the energy storage device in the predetermined time length. By dynamically adjusting the declaration capacity range, the energy storage device can more accurately respond to changes in demand, improve its adaptability to price fluctuations, weather conditions, and load demand fluctuations, and thus improve the accuracy of the declaration capacity determination result.

[0026] Optionally, not only the initial declaration capacity range can be determined according to the historical declaration capacity range of the energy storage device and the energy storage configuration requirements of the energy storage device, but also the initial declaration capacity range can be determined according to market rules. First, a plurality of market rules related to the energy storage device are determined, and the plurality of market rules are quantitatively scored according to their importance and pros and cons. The higher the importance, the higher the score, and the pros are positive and the cons are negative. The initial declaration capacity range of the energy storage device is determined according to the quantitative scores corresponding to the plurality of market rules.

[0027] In an optional embodiment, determining the minimum declared unit capacity of the energy storage device in the predetermined time length comprises: determining the current health status, the charge-discharge power and the current state of charge of the energy storage device; and determining the minimum declared unit capacity based on the current health status, the charge-discharge power and the current state of charge.

[0028] It can be understood that the minimum declared unit capacity of the energy storage device in the predetermined time length is determined according to the current health status, the charge-discharge power (i.e. the maximum charge-discharge power of the energy storage device in the current health status) and the current state of charge of the energy storage device. The appropriate minimum declared unit capacity is determined so that the energy storage device can adjust the declared capacity according to the actual needs when participating in services such as frequency regulation, peak shaving and peak-valley arbitrage, thereby improving market adaptability and participation. At the same time, the determination of the minimum declared unit capacity based on the health status can reduce the damage to the battery caused by excessive charge-discharge, prolong the service life of the energy storage device, and thus reduce the maintenance and replacement costs.

[0029] Step S104: determining the target frequency regulation benefits corresponding to the plurality of candidate declared capacities respectively;

[0030] It can be understood that the plurality of target frequency regulation benefits of the energy storage device participating in the frequency regulation service in the predetermined time length under the condition of the plurality of candidate declared capacities are determined, wherein the plurality of candidate declared capacities and the plurality of target frequency regulation benefits correspond to each other. By evaluating the target frequency regulation benefits of each candidate declared capacity, the target declared capacity that can achieve the highest economic benefit under the given market rules and device capabilities can be determined, thereby improving the market competitiveness of the energy storage device.

[0031] In an optional embodiment, determining the target frequency regulation benefits corresponding to the plurality of candidate declared capacities respectively comprises: for any candidate declared capacity in the plurality of candidate declared capacities, determining a plurality of frequency regulation operation strategies corresponding to the any candidate declared capacity, and frequency regulation parameters corresponding to the plurality of frequency regulation operation strategies respectively, wherein the frequency regulation parameters are collected in the predetermined time length, and the frequency regulation parameters at least include: frequency regulation participation capacity, frequency regulation actual power and frequency regulation target power; determining frequency regulation compensation benefits corresponding to the plurality of frequency regulation operation strategies respectively based on the frequency regulation participation capacity corresponding to the plurality of frequency regulation operation strategies respectively; determining penalty costs corresponding to the plurality of frequency regulation operation strategies respectively based on the frequency regulation actual power corresponding to the plurality of frequency regulation operation strategies respectively and the frequency regulation target power corresponding to the plurality of frequency regulation operation strategies respectively; determining initial frequency regulation benefits corresponding to the plurality of frequency regulation operation strategies respectively based on the frequency regulation compensation benefits corresponding to the plurality of frequency regulation operation strategies respectively and the penalty costs corresponding to the plurality of frequency regulation operation strategies respectively; determining the maximum frequency regulation benefit in the initial frequency regulation benefits corresponding to the plurality of frequency regulation operation strategies respectively as the target frequency regulation benefit of the any candidate declared capacity; and determining the target frequency regulation benefits corresponding to the plurality of candidate declared capacities respectively in the manner of determining the target frequency regulation benefit of the any candidate declared capacity.

[0032] It is understandable that, in order to maximize the benefits of frequency regulation (FM) services, it is necessary to optimize the FM operation strategies within the FM service, determine the FM operation strategies that maximize the FM benefits obtained by the FM service, and the target FM benefits corresponding to these strategies. For any candidate application capacity among multiple candidate application capacities, multiple FM operation strategies for the FM service are determined under the condition of any candidate application capacity, along with the FM parameters corresponding to each of the multiple FM operation strategies. The aforementioned FM parameters are collected over a predetermined period and include at least: FM participation capacity, actual FM power, and target FM power. Based on the FM participation capacity corresponding to each of the multiple FM operation strategies, the FM compensation benefits corresponding to each of the multiple FM operation strategies are determined. Based on the actual FM power and the target FM power corresponding to each of the multiple FM operation strategies, the penalty costs corresponding to each of the multiple FM operation strategies are determined. Based on the FM compensation benefits and penalty costs corresponding to each of the multiple FM operation strategies, the initial FM benefits corresponding to each of the multiple FM operation strategies are obtained. The maximum frequency regulation benefit among multiple initial frequency regulation benefits is determined as the target frequency regulation benefit for any candidate application capacity, and the frequency regulation operation strategy corresponding to this target benefit is determined as the target frequency regulation operation strategy for any candidate application capacity. By using the method of determining the target frequency regulation benefit and target frequency regulation operation strategy for any candidate application capacity, the target frequency regulation benefit and target frequency regulation operation strategy corresponding to multiple candidate application capacities are determined respectively. By generating and evaluating multiple frequency regulation operation strategies, the optimal frequency regulation benefit achievable for each candidate application capacity can be determined more accurately, thus providing a scientific basis for the capacity application of energy storage equipment.

[0033] Optionally, the revenue obtained by the target equipment during the frequency regulation service period can be used as the frequency regulation benefit. To determine the target frequency regulation benefit, it is necessary to optimize the optimal frequency regulation operation strategy for a predetermined duration under a given frequency regulation application capacity (one of multiple candidate application capacities) to maximize the obtained frequency regulation benefit. Based on market rules and the energy storage configuration requirements for new energy power plant distribution and storage (i.e., energy storage equipment configured for new energy power plants), the frequency regulation application capacity range for new energy power plant distribution and storage on the operating day (i.e., a predetermined duration of 24 hours) is determined to be [C1, C2]. The minimum application unit capacity for new energy power plant distribution and storage on the operating day is determined to be ΔC.

[0034] If the frequency regulation revenue of energy storage devices participating in frequency regulation during the operating day consists of frequency regulation compensation revenue and penalty cost, for the frequency regulation application capacity C∈[C1,C2], the objective function of distributed energy storage devices participating in frequency regulation services during the t-th time period of the operating day is... (i.e., the optimal frequency modulation benefit during time period t) can be determined in the following way:

[0035]

[0036] wherein, respectively represent the frequency modulation compensation income and the penalty cost of the energy storage device.

[0037] The frequency modulation compensation income is determined by the frequency modulation participating capacity and the unit compensation price. The frequency modulation compensation income may be determined by the following way:

[0038]

[0039] wherein, λ con is the unit capacity compensation of frequency modulation determined by the power grid, and C is the frequency modulation participating capacity.

[0040] The penalty cost is determined by the difference between the frequency modulation actual power and the frequency modulation target power guided by the frequency modulation signal. The penalty cost may be determined by the following way:

[0041]

[0042] wherein, the adjustment signal r(s) is a dimensionless ratio, which represents the frequency adjustment demand of the power grid system determined by the market according to the operation state of the power grid system, and is proportional to the frequency modulation declared capacity C; b(s) represents the actual charge and discharge power (i.e. the frequency modulation actual power) of the energy storage device at time s in the tth frequency modulation operation period, and the discharge is positive and the charge is negative; S represents a total of S time points; λ pen is the unit penalty cost.

[0043] Optionally, the energy storage device will be subject to a series of constraint conditions when participating in the frequency modulation service. The constraint conditions can be determined by the following way:

[0044] 0≤C≤P max

[0045] -C≤b(s)≤C

[0046]

[0047] wherein, P max , E max respectively represent the maximum charge and discharge power and the maximum battery capacity of the energy storage; SOC ini , SOC min , SOC max respectively represent the initial value, the minimum value and the maximum value of the state of charge of the energy storage; Ts represents the total number of frequency modulation instructions in a period; L 1,[Ts*Ts] is a Ts*Ts unit lower triangular matrix, I [Ts*1] is a Ts*1 unit matrix, and a represents the sequential set of frequency modulation operation strategies at all time points in the operation period.

[0048] For the frequency modulation declared capacity C∈[C1,C2], the optimization process with the maximum benefit as the goal is carried out for each time period in the operation day, and the maximum frequency modulation benefit under the given frequency modulation declared capacity C (i.e. the target frequency modulation benefit) is obtained. The maximum frequency modulation benefit The maximum frequency modulation benefit can be determined in the following way:

[0049]

[0050] Wherein, T represents the total number of time periods, and if the time length of each time period is 1 hour, then T=24.

[0051] In step S106, the target arbitrage benefits corresponding to the plurality of residual capacities are determined, wherein the target arbitrage benefits at least include: the peak shaving benefit and the peak-valley arbitrage benefit, the residual capacity refers to the capacity remaining after the candidate declared capacity completes the frequency modulation service, and the plurality of candidate declared capacities correspond one by one to the plurality of residual capacities;

[0052] It can be understood that the plurality of residual capacities corresponding to the plurality of candidate declared capacities after the frequency modulation is completed are determined. The energy storage device is determined to participate in the arbitrage activity to obtain the target arbitrage benefit under the plurality of residual capacities, wherein the target arbitrage benefit at least includes: the peak shaving benefit and the peak-valley arbitrage benefit. Through the benefit evaluation of the residual capacity and the optimization of the arbitrage operation strategy, the multi-benefit synergy of the energy storage device in the auxiliary service market can be realized, so as to realize the improvement of economic benefit and the enhancement of power system stability.

[0053] Optionally, after the frequency modulation operation strategy optimization in the operation day is completed, the accumulated power matrix of the energy storage device at all times is obtained, denoted as E reg The frequency modulation accumulated power E reg (m) of the energy storage device at m time in the operation day can be determined in the following way:

[0054] E reg (m)∈E reg m=1,2,…,21600

[0055] Let E rep , E rem respectively represent the matrix composed of the maximum and minimum values of the frequency modulation accumulated power of the energy storage device in every 15 minutes, then the maximum value E rep (q) of the frequency modulation accumulated power of the energy storage device in q time period and the minimum value E rem (q) of the frequency modulation accumulated power of the energy storage device in q time period can be determined in the following way:

[0056]

[0057] Since the occupation in the up (down) direction of the electric quantity based on the initial state of charge of the energy storage is only determined by the maximum (minimum) value of the cumulative electric quantity in the direction, it is assumed that EO rep , EO rem are matrices composed of the maximum and minimum values of the actual electric quantity space occupied by the frequency modulation service to the remaining service available part (i.e., the remaining capacity represented in the form of a matrix, the maximum value representing discharging and the minimum value representing charging), EO rep (q), EO rem (q) are matrices composed of the maximum and minimum values of the actual electric quantity space occupied by the frequency modulation service to the remaining service available part at the q period. EO rep (q) and EO rem (q) can be determined in the following way:

[0058]

[0059] In an optional embodiment, determining the target arbitrage benefits corresponding to the plurality of remaining capacities respectively includes: for any remaining capacity in the plurality of remaining capacities, determining a plurality of arbitrage operation strategies corresponding to the any remaining capacity, a plurality of peak regulation benefits corresponding to the plurality of arbitrage operation strategies respectively, and a plurality of peak-valley arbitrage benefits corresponding to the plurality of arbitrage operation strategies respectively; determining initial arbitrage benefits corresponding to the plurality of arbitrage operation strategies respectively based on the plurality of peak regulation benefits corresponding to the plurality of arbitrage operation strategies respectively and the plurality of peak-valley arbitrage benefits corresponding to the plurality of arbitrage operation strategies respectively; determining the maximum arbitrage benefit in the initial arbitrage benefits corresponding to the plurality of arbitrage operation strategies respectively as the target arbitrage benefit of the any remaining capacity; and determining the target arbitrage benefits corresponding to the plurality of remaining capacities respectively in the manner of determining the target arbitrage benefit of the any remaining capacity.

[0060] It can be understood that, in order to maximize the benefits of peak shaving service and peak-valley arbitrage, it is necessary to optimize the arbitrage operation strategy in the peak shaving service and the peak-valley arbitrage service, determine the arbitrage operation strategy that maximizes the arbitrage benefit, and the target arbitrage benefit corresponding to the strategy. For any one of the plurality of residual capacities, a plurality of arbitrage operation strategies for performing peak shaving service and peak-valley arbitrage service under any one residual capacity condition are determined, and the peak shaving benefits corresponding to the plurality of arbitrage operation strategies and the peak-valley arbitrage benefits corresponding to the plurality of arbitrage operation strategies are determined. The plurality of peak shaving benefits and the corresponding peak-valley arbitrage benefits are summed to obtain the initial arbitrage benefits corresponding to the plurality of arbitrage operation strategies. The maximum arbitrage benefit in the initial arbitrage benefits corresponding to the plurality of arbitrage operation strategies is determined as the target arbitrage benefit of any one residual capacity, and the arbitrage operation strategy corresponding to the target arbitrage benefit is determined as the target arbitrage operation strategy of any one residual capacity. Ensuring that the residual capacity after frequency modulation service can be optimally utilized through peak shaving and peak-valley arbitrage service can improve the economic benefit and market participation of the energy storage device. At the same time, by systematically evaluating a plurality of arbitrage operation strategies, the target arbitrage operation strategy that can maximize the arbitrage benefit can be ensured, the overall benefit of the energy storage device is improved, and the basis for determining the target declared capacity from a plurality of candidate capacities is provided.

[0061] Optionally, the arbitrage operation strategy refers to a series of operation strategies and methods for obtaining additional economic benefits by utilizing price fluctuations in the electricity market. The peak shaving service refers to discharging power during the peak of power demand to reduce the pressure on the power grid, and charging power during the valley of power demand to fully utilize excess power resources. The peak-valley arbitrage refers to charging power during the low price period and discharging power during the high price period. The peak shaving benefit refers to the benefit obtained by the energy storage device in the peak shaving service; the peak-valley arbitrage benefit refers to the benefit obtained by the energy storage device due to the price difference in the peak-valley arbitrage.

[0062] Optionally, the peak shaving compensation benefit (i.e., peak shaving benefit) obtained by the target device during the peak shaving service can be used as the peak shaving benefit, and the peak-valley arbitrage benefit obtained by the target device during the peak-valley arbitrage service can be used as the peak-valley arbitrage benefit. The optimization of the arbitrage operation strategy for optimal peak shaving and peak-valley arbitrage in the operation day under the residual capacity makes the sum of the peak shaving benefit and the peak-valley arbitrage benefit maximum. The joint operation strategy (i.e., arbitrage operation strategy) optimization of peak shaving and peak-valley arbitrage under the residual capacity for a given frequency modulation declared capacity C, the arbitrage benefit is composed of the peak-valley arbitrage benefit and the peak shaving compensation benefit (i.e., peak shaving benefit), and the objective function F peAar The maximum arbitrage benefit can be determined by the following method:

[0063] maxF peAar = F peak +F arbi

[0064] wherein Fpeak , F arbi respectively represent the peak shaving benefit and the peak-valley arbitrage benefit.

[0065] In an optional embodiment, the peak shaving benefit corresponding to each of the plurality of arbitrage operation strategies is determined by determining the peak shaving charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies, and determining the peak shaving benefit corresponding to each of the plurality of arbitrage operation strategies based on the peak shaving charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies.

[0066] It can be understood that the peak shaving charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies are determined. The charging efficiency of pure energy participating in peak shaving can be used to determine the peak shaving benefit, which refers to the ratio of the energy actually stored in the battery during the charging process to the total energy input to the charging system when the energy storage device is used for peak shaving service of the power system. The peak shaving benefit corresponding to each of the plurality of arbitrage operation strategies is determined based on the peak shaving charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies. Through the benefit analysis of the peak shaving service, the utilization efficiency of the remaining capacity can be improved, the economic benefit of the energy storage device can be improved, and thus the accuracy and rationality of the target declared capacity determination result of the energy storage device can be improved.

[0067] Optionally, within a running day, it is assumed that the peak shaving time scale is 15 min (i.e., the time length of each period is 15 min (minutes)), and the dimension of the decision variable is 96. According to the relevant operation rules of the power grid, the energy storage device is required to be scheduled by the power grid to charge in the low-price valley period and discharge in the high-price peak period to provide peak shaving service, and to be compensated for peak shaving according to the actual charging power, thereby obtaining the peak shaving benefit. The peak shaving benefit F peak The peak shaving benefit F can be determined by the following formula:

[0068]

[0069] wherein λ peak represents the peak shaving unit power compensation price, P pe,cha (q) represents the peak shaving charging power in the q period, η pe,cha represents the charging efficiency of pure energy participating in peak shaving, and Q represents the total number of periods.

[0070] In an optional embodiment, the peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies is determined by determining the power purchased by the energy storage device corresponding to each of the plurality of arbitrage operation strategies, the power sold by the energy storage device corresponding to each of the plurality of arbitrage operation strategies, the purchase price of electricity corresponding to each of the plurality of arbitrage operation strategies, and the sale price of electricity corresponding to each of the plurality of arbitrage operation strategies; determining the electricity purchase cost corresponding to each of the plurality of arbitrage operation strategies based on the power purchased by the energy storage device corresponding to each of the plurality of arbitrage operation strategies and the purchase price of electricity corresponding to each of the plurality of arbitrage operation strategies; determining the electricity sale benefit corresponding to each of the plurality of arbitrage operation strategies based on the power sold by the energy storage device corresponding to each of the plurality of arbitrage operation strategies and the sale price of electricity corresponding to each of the plurality of arbitrage operation strategies; and determining the peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies based on the electricity purchase cost corresponding to each of the plurality of arbitrage operation strategies and the electricity sale benefit corresponding to each of the plurality of arbitrage operation strategies.

[0071] It can be understood that the power purchased by the energy storage device corresponding to each of the plurality of arbitrage operation strategies, the power sold by the energy storage device corresponding to each of the plurality of arbitrage operation strategies, the purchase price of electricity corresponding to each of the plurality of arbitrage operation strategies, and the sale price of electricity corresponding to each of the plurality of arbitrage operation strategies are determined. The electricity purchase cost corresponding to each of the plurality of arbitrage operation strategies is obtained by multiplying the power purchased by the energy storage device corresponding to each of the plurality of arbitrage operation strategies and the purchase price of electricity corresponding to each of the plurality of arbitrage operation strategies. The electricity sale benefit corresponding to each of the plurality of arbitrage operation strategies is determined by multiplying the power sold by the energy storage device corresponding to each of the plurality of arbitrage operation strategies and the sale price of electricity corresponding to each of the plurality of arbitrage operation strategies. The peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies is determined based on the electricity purchase cost corresponding to each of the plurality of arbitrage operation strategies and the electricity sale benefit corresponding to each of the plurality of arbitrage operation strategies. In this way, not only the economic benefit of the energy storage device in the peak-valley arbitrage service can be accurately evaluated, but also the electricity purchase and sale strategy can be dynamically adjusted based on real-time market conditions and device states, so that the economic benefit is maximized and the resources are efficiently utilized.

[0072] Optionally, the power sold by the energy storage device in the peak-valley arbitrage is the amount of electricity sold by the energy storage device to the power grid at the price peak period, the power purchased by the energy storage device in the peak-valley arbitrage is the amount of electricity purchased by the energy storage device from the power grid at the price valley period, the purchase price of electricity is the price at which the energy storage device purchases electricity from the power grid, and the sale price of electricity is the price at which the energy storage device sells electricity to the power grid.

[0073] Optionally, in a running day, the peak-valley arbitrage time scale is 1h (i.e., the length of each period is 1h (hour)), the dimension of the decision variable is 24, the peak-valley arbitrage benefit F arbi The peak-valley arbitrage benefit F

[0074]

[0075] wherein P ar,buy (t), Par,sell (t) represent the purchase power and the sale power of the energy storage device participating in the peak-valley arbitrage in the t time period, respectively; λ buy (t), λ sell (t) represent the unit price (i.e., the purchase price) of the energy purchased by the energy storage device from the power grid and the unit price (i.e., the sale price) of the energy sold by the energy storage device in the t time period, respectively.

[0076] Optionally, since the time scales of the frequency modulation and the peak-valley arbitrage decision are different, in order to facilitate matching description, it is necessary to expand the charge-discharge decision variable of the peak-valley arbitrage to the same dimension as the peak-regulation charge-discharge decision variable.

[0077] For any matrix and The product of the above two matrices can be obtained by using the Kronecker product (a special matrix multiplication) It can be determined in the following way:

[0078]

[0079] Wherein, c, n, p, d represent the dimensions of the matrix, respectively.

[0080] Suppose P ar,buy , P ar,sell are the energy storage device peak-valley arbitrage purchase decision variable matrix and the energy storage device peak-valley arbitrage sale decision variable matrix, respectively, and P ar,sell (t) ∈ P ar,sell , P ar,buy (t) ∈ P ar,buy Then in each 15min time period, there is:

[0081]

[0082] Wherein, P ar,96,buy , P ar,96,sell are the purchase power and the sale power of the energy storage device participating in the peak-valley arbitrage in each time period with a time scale of 15min, E

[24] is a 24*24-dimensional unit matrix, I [4*1] is a 4*1-dimensional unit matrix. Set P ar,buy (q) ∈ P ar,96,buy , P ar,sell (q) ∈ P ar,96,sell represent the purchase power and the sale power of the energy storage device participating in the peak-valley arbitrage in the time period q corresponding to the peak-regulation time scale.

[0083] Optionally, the energy storage device needs to meet a series of constraints when performing peak shaving and valley arbitrage services, which can include but are not limited to: a constraint that the energy storage device cannot charge and discharge at the same time, a constraint that the energy storage device cannot buy and sell electricity at the same time, a constraint that the energy storage device avoids completely opposite energy flow behaviors of peak shaving and valley arbitrage, a constraint that the energy storage device is only allowed to discharge during peak time (i.e. the time period with the highest demand for electricity and the largest load) when participating in peak shaving services, a constraint that the charging and discharging amounts of the energy storage device participating in peak shaving within a day should be equal, and a sequential operation constraint (such as a state of charge constraint and a remaining power constraint of the energy storage device).

[0084] Optionally, the constraint that the energy storage device cannot charge and discharge at the same time can be determined as follows:

[0085]

[0086] Optionally, the constraint that the energy storage device cannot buy and sell electricity at the same time can be determined as follows:

[0087]

[0088] wherein B(q), S(q) are 0-1 variables indicating the state of charge and the state of discharge of the energy storage device participating in valley arbitrage; C(q), D(q) are 0-1 variables indicating the state of charge and the state of discharge of the energy storage device participating in peak shaving.

[0089] Optionally, in the same period, the energy storage device should avoid completely opposite energy flow behaviors of peak shaving and valley arbitrage to avoid malicious arbitrage behavior. The constraint that the energy storage device avoids completely opposite energy flow behaviors of peak shaving and valley arbitrage can be determined as follows:

[0090]

[0091] Optionally, according to the peak shaving compensation principle, the energy storage device is only allowed to discharge during peak time when participating in peak shaving services. The constraint that the energy storage device is only allowed to discharge during peak time when participating in peak shaving services can be determined as follows:

[0092]

[0093] wherein pov is a 0-1 variable representing the state of electricity price peak, which is 1 only during peak time of time-of-use electricity price.

[0094] Optionally, the constraint that the charging and discharging amounts of the energy storage device participating in peak shaving within a day should be equal can be determined as follows:

[0095]

[0096] wherein η pe,dis represents the discharge efficiency of the energy storage device participating in the peak shaving discharge service.

[0097] Optionally, the frequency modulation service reflected to the remaining service available part occupies the actual power space EO rep , EO rem , and the charging net load of the electric vehicle and other load devices in each time period within the operation day is P net (q) ∈ P net , the sequential operation constraint of the energy storage device can be determined in the following manner:

[0098] E ini = E ter

[0099]

[0100] wherein E ini , E ter represent the remaining power of the energy storage device at the initial time and the last time within the operation day, respectively, P pe,cha , P pe,dis represent the matrix corresponding to the peak shaving charging strategy set and the matrix corresponding to the discharging strategy set of the energy storage device within the operation day, Tq = 96 is the dimension of each strategy set within the operation day at the 15-minute time scale, L 1,[Tq*Tq] is a Tq*Tq unit lower triangular matrix, and I [Tq*1] is a Tq*1 unit matrix. The sequential operation constraint limits the cumulative power of the energy storage device caused by the arbitrage operation strategy of the remaining capacity on the basis of the frequency modulation strategy, and satisfies the upper and lower limit constraints of the state of charge.

[0101] In step S108, the target benefits of the plurality of candidate declaration capacities are determined based on the target frequency modulation benefits corresponding to the plurality of candidate declaration capacities respectively, and the target arbitrage benefits corresponding to the plurality of remaining capacities respectively.

[0102] It can be understood that the target frequency modulation benefits corresponding to the plurality of candidate declaration capacities are added to the corresponding target arbitrage benefits to obtain the target benefits of the plurality of candidate declaration capacities. By adding the target frequency modulation benefits corresponding to the plurality of candidate declaration capacities to the target arbitrage benefits, the comprehensive target benefits are obtained, which can comprehensively evaluate the total revenue ability of the energy storage device participating in the frequency modulation and arbitrage services of the power market, thereby significantly improving the accuracy of the declaration capacity determination and ensuring the optimal economic benefits of the energy storage device in the market.

[0103] In step S110, the candidate declaration capacity corresponding to the maximum benefit in the target benefits is determined as the target declaration capacity of the energy storage device within the predetermined time length.

[0104] It can be understood that the maximum benefit corresponding to the candidate declared capacity is compared, and the candidate declared capacity corresponding to the maximum benefit is taken as the target declared capacity of the energy storage device in the predetermined time length, and the frequency modulation operation strategy and the arbitrage operation strategy corresponding to the maximum benefit are taken as the target operation strategy of the energy storage device in the predetermined time length. By comparing and selecting the maximum value of the target benefit and the operation strategy corresponding to the maximum value of the target benefit in multiple candidate declared capacities as the target declared capacity and the operation strategy of the energy storage device, the accuracy of the declared capacity determination result can be enhanced, and the optimal operation of the energy storage device under specific market conditions can be ensured.

[0105] Optionally, if the reportable frequency modulation declared capacity range of the energy storage device is [C1, C2], and the minimum declared unit capacity is △C, the comprehensive maximum benefit that the energy storage device can obtain in the operation day under the frequency modulation declared capacity C can be determined , and the target benefit corresponding to all reportable frequency modulation capacities (i.e., multiple candidate declared capacities) in the reportable frequency modulation declared capacity range is determined. Then, the optimal frequency modulation declared capacity Cmax (i.e., the target declared capacity) that maximizes the operation day benefit and the corresponding operation day maximum benefit f max (i.e., the target benefit) are obtained.

[0106] Optionally, in the process of determining the target declared capacity by optimizing the frequency modulation operation strategy and the arbitrage operation strategy of the energy storage device, not only the maximum benefit can be taken as the objective function, but also other objective functions can be introduced, such as minimizing environmental impact, maximizing user satisfaction, and smoothing the grid load. Minimizing environmental impact can be achieved by taking environmental protection indicators such as reducing carbon emissions of the energy storage device and improving energy use efficiency of the energy storage device as optimization indicators, by reasonably planning the declared capacity, promoting efficient use of clean energy, and reducing dependence on fossil fuels. Maximizing user satisfaction can optimize factors such as user power demand satisfaction, waiting time, and power supply continuity to ensure that the energy storage device optimizes the declared capacity on the premise of meeting user daily demand. Smoothing the grid load can take the smoothness of the grid load curve as the objective function, optimize the charge and discharge scheduling of the energy storage device, reduce indicators such as grid pressure during peak periods, and improve the safety and stability of grid operation.

[0107] Optionally, in the process of optimizing the frequency regulation operation strategy and the arbitrage operation strategy of the energy storage device to determine the target declared capacity, not only a single objective function can be used as the optimization target, but also multiple objective functions can be used as the optimization target at the same time to find the best balance point between the multiple objective functions and determine the frequency regulation operation strategy and the arbitrage operation strategy of the energy storage device. Through the above steps S102 to S110, the purpose of determining the declared capacity of the energy storage device by comprehensively evaluating the frequency regulation benefits under different candidate declared capacities and the arbitrage benefits of the remaining capacity after completing the frequency regulation service can be achieved, the technical effect of improving the accuracy of the declared capacity determination result of the energy storage device is realized, and then the technical problem of inaccurate declared capacity determination result of the energy storage device in the related art is solved.

[0108] Based on the above embodiments and optional embodiments, the present application proposes an optional implementation of a method for determining a target declared capacity of an energy storage device. Figure 2 is a structural block diagram of an optional method for determining a declared capacity of an energy storage device according to an embodiment of the present application, as shown in Figure 2 The steps of this embodiment include:

[0109] Step S1, determining a range of declared frequency regulation capacity (i.e., a range of target declared capacity) and a minimum declared unit capacity of the distributed energy storage device in the operation day.

[0110] According to the market rules and the energy storage configuration requirements of the new energy station storage (i.e., the energy storage device configured for the new energy station), it is determined that the frequency regulation declared capacity range of the new energy station storage in the operation day (i.e., with a predetermined time length of 24 hours a day) is [C1, C2]. It is determined that the minimum declared unit capacity of the new energy station storage in the operation day is △C.

[0111] Step S2, optimizing the optimal frequency regulation operation strategy in the operation day under a given frequency regulation declared capacity (belonging to one of multiple candidate declared capacities) to maximize the frequency regulation benefit;

[0112] Assuming that the frequency regulation benefit of the energy storage device participating in frequency regulation in the operation day is composed of frequency regulation compensation benefit and penalty cost, for the frequency regulation declared capacity C∈[C1,C2], in the tth time period in the operation day, the objective function of the distributed energy storage device participating in frequency regulation service (i.e., the optimal frequency regulation benefit in the tth period) is determined in the same way as the above embodiment, which will not be described here.

[0113] The frequency regulation compensation benefit is determined by the frequency regulation participation capacity and the unit compensation price. The determination method of the frequency regulation compensation benefit is the same as the above embodiment, which will not be described here.

[0114] The penalty cost is determined by the difference between the actual frequency modulation power and the frequency modulation target power guided by the frequency modulation signal. The determination manner is the same as the above embodiment, which is not described herein.

[0115] The energy storage device is limited by a series of constraint conditions when participating in the frequency modulation service. The determination manner of the constraint condition is the same as the above embodiment, which is not described herein.

[0116] For the frequency modulation declared capacity C∈[C1,C2], the optimization process with the maximum benefit as the target is carried out for each period within the operation day to obtain the maximum frequency modulation benefit (i.e., the target frequency modulation benefit) under the given frequency modulation declared capacity C. The determination manner is the same as the above embodiment, which is not described herein.

[0117] Step S3, the optimization of the arbitrage operation strategy of the optimal peak shaving and peak-valley arbitrage in the remaining capacity is completed in the operation day, so that the sum of the peak shaving benefit and the peak-valley arbitrage benefit is maximum;

[0118] After the optimization of the frequency modulation operation strategy within the operation day is completed, the accumulated power matrix of the energy storage device at all time points is obtained, denoted as E reg The determination manner of the frequency modulation accumulated power E reg (m) of the energy storage device at the m time point within the operation day is the same as the above embodiment, which is not described herein.

[0119] Let E rep max and E rem min represent the matrix composed of the maximum and minimum values of the frequency modulation accumulated power of the energy storage device within every 15 minutes, respectively, then the determination manner of the maximum value E rep (q) of the frequency modulation accumulated power of the energy storage device within the q period and the minimum value E rem (q) of the frequency modulation accumulated power of the energy storage device within the q period is the same as the above embodiment, which is not described herein.

[0120] Since the occupation in the up (down) direction of the power based on the initial state of charge of the energy storage is only determined by the maximum (minimum) value of the cumulative power in the direction, it is assumed that E rep Omax and E rem Omin are the matrices reflecting the actual power space occupied by the frequency modulation service to the remaining service available part (i.e., the remaining capacity in the matrix form), E rep O(q) and E rem O(q) are the matrices reflecting the actual power space occupied by the frequency modulation service to the remaining service available part within the q period. The determination manner of E rep O(q) and E rem O(q) is the same as the above embodiment, which is not described herein.

[0121] Optimize the combined operation strategy (i.e., arbitrage strategy) of peak shaving and peak-valley arbitrage for the remaining capacity under a given frequency regulation application capacity C. The arbitrage profit consists of peak-valley arbitrage profit and peak shaving compensation profit (i.e., peak shaving profit). The objective function of peak shaving and peak-valley arbitrage is F. peAar The method for determining the value is the same as in the above embodiments, and will not be repeated here.

[0122] During the operating day, the peak-shaving timescale is 15 minutes (i.e., each time period is 15 minutes long), and the decision variable dimension is 96. According to relevant power grid operating guidelines, the energy storage device, subject to power grid dispatch requirements, charges during off-peak hours and discharges during peak hours to provide peak-shaving services, and receives peak-shaving compensation based on the actual charging amount, thus obtaining peak-shaving revenue. Peak-shaving revenue F peak The method for determining the value is the same as in the above embodiments, and will not be repeated here.

[0123] Within the operating day, the peak-valley arbitrage timescale is 1 hour (i.e., each time period is 1 hour long), the decision variable dimension is 24, and the peak-valley arbitrage return F is... arbi The method for determining the value is the same as in the above embodiments, and will not be repeated here.

[0124] Since frequency regulation and peak-valley arbitrage decisions have different time scales, in order to facilitate matching and description, the charging and discharging decision variables of peak-valley arbitrage need to be expanded to have the same dimension as the charging and discharging decision variables of peak regulation.

[0125] For any matrix and The product of the two matrices above is obtained using the Kronecker product (a special type of matrix multiplication). The method for determining the value is the same as in the above embodiments, and will not be repeated here.

[0126] Let P ar,buy P ar,sell Let P be the decision variable matrix for peak-valley arbitrage electricity purchase and sales of energy storage devices, both 24*1, and let P be the decision variable matrix for peak-valley arbitrage electricity sales of energy storage devices. ar,sell (t)∈P ar,sell P ar,buy (t)∈P ar,buy P ar,96,buy P represents the power purchased by energy storage devices for peak-valley arbitrage within a 15-minute timescale. ar,96,sell This represents the electricity sales power of energy storage devices participating in peak-valley arbitrage within a 15-minute timescale. ar,96,buy and P ar,96,sell The method for determining the value is the same as in the above embodiments, and will not be repeated here.

[0127] The arbitrage service between peak shaving and valley filling at any time should satisfy the constraint conditions that charging and discharging cannot be performed simultaneously and electricity cannot be purchased and sold simultaneously. The determination manner of the constraint condition that charging and discharging cannot be performed simultaneously is the same as that in the above embodiment, and will not be described herein again.

[0128] The determination manner of the constraint condition that electricity cannot be purchased and sold simultaneously is the same as that in the above embodiment, and will not be described herein again.

[0129] In the same period, the arbitrage between peak shaving and valley filling should be avoided to avoid malicious arbitrage behavior. The determination manner of the constraint condition is the same as that in the above embodiment, and will not be described herein again.

[0130] According to the peak shaving compensation principle, when the energy storage device participates in the peak shaving service, only discharging is allowed when the time-of-use electricity price is in the peak period. The determination manner of the constraint condition is the same as that in the above embodiment, and will not be described herein again.

[0131] The charging capacity and the discharging capacity of the energy storage device participating in the peak shaving in a day should be equal. The determination manner of the constraint condition is the same as that in the above embodiment, and will not be described herein again.

[0132] In the case where the actual electricity space E0 rep , E0 rem occupied by the frequency modulation service reflecting to the remaining service available part, and the charging net load P net (q)∈P net of the load device such as the electric vehicle in each period of the operation day have been determined, the determination manner of the sequential operation constraint of the energy storage device is the same as that in the above embodiment, and will not be described herein again.

[0133] Step S4, repeating steps S2-S3, searches for the optimal frequency modulation declaration capacity (i.e., the target declaration capacity) in the declared frequency modulation declaration capacity range of the declaration, and determines the frequency modulation operation strategy and the arbitrage operation strategy corresponding to the optimal frequency modulation declaration capacity as the optimal operation strategy of the energy storage device in the operation day.

[0134] Steps S2-S3 give the comprehensive maximum benefit f Assuming that the reportable frequency modulation declaration capacity range of the energy storage device is [C1, C2], the minimum declaration unit capacity is △C, repeating steps S2-S3 for all reportable frequency modulation capacities (i.e., multiple candidate declaration capacities) in the reportable frequency modulation declaration capacity range, the optimal frequency modulation declaration capacity Cmax (i.e., the target declaration capacity) that maximizes the operation day benefit and the corresponding operation day maximum benefit f max (i.e., the target benefit) are obtained.

[0135] The optional embodiment described above takes the energy storage station as the research object, considers that the energy storage participates in multiple types of services on the grid side, including frequency modulation, peak shaving and peak-valley arbitrage, and further formulates an optimal control process of the multi-benefit coordinated operation strategy of the energy storage device, determines the operation strategy and optimal frequency modulation declaration capacity of the energy storage device that maximize the economic benefits, and improves the utilization rate and economic benefits of the energy storage device.

[0136] The optional embodiment described above at least achieves the following effects: by evaluating the target frequency modulation benefits of each candidate declaration capacity, the target declaration capacity that can achieve the highest economic benefits under the given market rules and device capacity is determined, and the market competitiveness of the energy storage device is improved; by evaluating the benefits of the remaining capacity and optimizing the arbitrage operation strategy, the multi-benefit coordination of the energy storage device in the auxiliary service market is achieved, thereby improving the economic benefits and enhancing the stability of the power system; by adding the target frequency modulation benefits and the target arbitrage benefits corresponding to the multiple candidate declaration capacities, the comprehensive target benefits are obtained, which can comprehensively evaluate the total revenue capacity of the energy storage device participating in the frequency modulation and arbitrage services in the power market, thereby significantly improving the accuracy of the declaration capacity determination and ensuring that the energy storage device achieves the optimal economic benefits in the market.

[0137] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described herein can be executed in an order different from that shown herein.

[0138] In this embodiment, a declaration capacity determination device of an energy storage device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and will not be described again. As used below, the term "module" "device" can be a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware or a combination of software and hardware is also possible and contemplated.

[0139] According to the embodiments of the present application, a device embodiment for implementing the method for determining the declaration capacity of the energy storage device is also provided, Figure 3 is a schematic diagram of a declaration capacity determination device of an energy storage device according to an embodiment of the present application, as Figure 3 shown, the declaration capacity determination device of the energy storage device includes a first determination module 302, a second determination module 304, a third determination module 306, a target benefit determination module 308, a target declaration capacity determination module 310, and the device will be described below.

[0140] The first determination module 302 is configured to determine a plurality of candidate declaration capacities of the energy storage device in a predetermined time period.

[0141] The second determining module 304 is connected with the first determining module 302, and is configured to determine target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively.

[0142] The third determining module 306 is connected with the second determining module 304, and is configured to determine target arbitrage benefits corresponding to the plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak regulation benefits and peak-valley arbitrage benefits, the residual capacity refers to the capacity remaining after the candidate declared capacity completes the frequency modulation service, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other in one-to-one manner.

[0143] The target benefit determining module 308 is connected with the third determining module 306, and is configured to determine target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively.

[0144] The target declared capacity determining module 310 is connected with the target benefit determining module 308, and is configured to determine the candidate declared capacity corresponding to the maximum benefit in the target benefits as the target declared capacity of the energy storage device in the predetermined time length.

[0145] In the declared capacity determining device of the energy storage device provided by the embodiment, the first determining module 302 is configured to determine a plurality of candidate declared capacities of the energy storage device in a predetermined time length, the second determining module 304 is connected with the first determining module 302, and is configured to determine target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively, the third determining module 306 is connected with the second determining module 304, and is configured to determine target arbitrage benefits corresponding to the plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak regulation benefits and peak-valley arbitrage benefits, the residual capacity refers to the capacity remaining after the candidate declared capacity completes the frequency modulation service, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other in one-to-one manner, the target benefit determining module 308 is connected with the third determining module 306, and is configured to determine target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively, and the target declared capacity determining module 310 is connected with the target benefit determining module 308, and is configured to determine the candidate declared capacity corresponding to the maximum benefit in the target benefits as the target declared capacity of the energy storage device in the predetermined time length. The technical effect of improving the accuracy of the declared capacity determination result of the energy storage device is achieved by comprehensively evaluating the frequency modulation benefits under different candidate declared capacities and the arbitrage benefits of the residual capacity after completing the frequency modulation service, and the technical problem of inaccurate declared capacity determination result of the energy storage device in the related art is solved.

[0146] It should be noted that the above various modules can be implemented by software or hardware, for example, for the latter, the above various modules can be located in the same processor, or the above various modules are located in different processors in any combination.

[0147] It should be noted that the first determining module 302, the second determining module 304, the third determining module 306, the target benefit determining module 308, and the target declaration capacity determining module 310 correspond to steps S102 to S110 in the embodiment, and the above modules have the same instances and application scenarios as the corresponding steps, but are not limited to the contents disclosed in the above embodiment. It should be noted that the above modules can run in a computer terminal as part of the device.

[0148] It should be noted that the optional or preferred embodiments of the present embodiment can refer to the related description in the embodiment, which will not be repeated here.

[0149] The declaration capacity determination device of the above energy storage device can further include a processor and a memory, the first determining module 302, the second determining module 304, the third determining module 306, the target benefit determining module 308, and the target declaration capacity determining module 310 are stored in the memory as program units, and the processor executes the above program units stored in the memory to realize the corresponding functions.

[0150] The processor includes a core, and the core retrieves the corresponding program unit from the memory. The core can be set to one or more. The memory can include a non-persistent memory in a computer readable medium, a random access memory (RAM) and / or a non-volatile memory such as a read-only memory (ROM) or a flash memory (flash RAM), and the memory includes at least one memory chip.

[0151] The embodiment of the present application provides a non-volatile storage medium, which stores a program, and the program is executed by a processor to realize the declaration capacity determination method of the energy storage device.

[0152] An electronic device is provided, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, the following steps are implemented: determining a plurality of candidate declared capacities of a storage device in a predetermined time period; determining target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; determining target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak shaving benefits and peak-valley arbitrage benefits, the residual capacity refers to a capacity remaining after the candidate declared capacity completes frequency modulation service, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other one by one; determining target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively; and determining a candidate declared capacity corresponding to a maximum benefit in the target benefits as a target declared capacity of the storage device in the predetermined time period. The device herein can be a server, a PC, etc.

[0153] The application further provides a computer program product adapted to execute a program that initializes the following method steps when executed on a data processing device: determining a plurality of candidate declared capacities of a storage device in a predetermined time period; determining target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; determining target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak shaving benefits and peak-valley arbitrage benefits, the residual capacity refers to a capacity remaining after the candidate declared capacity completes frequency modulation service, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other one by one; determining target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively; and determining a candidate declared capacity corresponding to a maximum benefit in the target benefits as a target declared capacity of the storage device in the predetermined time period.

[0154] Those skilled in the art should understand that embodiments of the application can be provided as a method, a system, or a computer program product. Therefore, the application can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage media, etc.) containing computer-usable program code.

[0155] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

[0156] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

[0157] The computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart block or blocks. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof. Figure 1 one or more flowcharts and / or blocks in the flowcharts and / or combination thereof.

[0158] In one typical configuration, the computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0159] The memory can include non-persistent memory and / or volatile memory, such as a random access memory (RAM) including a cache area for the temporary storage of data. A

[0160] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0161] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, such that a process, method, article or apparatus that comprises a list of elements does not only include those elements, but can also include other elements not expressly listed or inherent to such process, method, article or apparatus. Without more limitations, the element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0162] Those skilled in the art will appreciate that embodiments of the present application can be provided as a method, system or computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROMs, optical storage devices, etc.) containing computer usable program code.

[0163] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application can have various modifications and changes. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method for determining the declared capacity of an energy storage device, characterized in that, The method comprises the following steps: determining a plurality of candidate declared capacities of the energy storage device in a predetermined time period; determining target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; determining target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak shaving benefits and peak-valley arbitrage benefits, the residual capacities are capacities remaining after the candidate declared capacities complete frequency modulation services, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other in one-to-one manner; determining target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively; determining a candidate declared capacity corresponding to a maximum benefit in the target benefits as a target declared capacity of the energy storage device in the predetermined time period.

2. The method of claim 1, wherein, The method of determining the plurality of candidate declared capacities of the energy storage device in the predetermined time period comprises the following steps: determining a target declared capacity range of the energy storage device in the predetermined time period and a minimum declared unit capacity of the energy storage device in the predetermined time period, wherein the minimum declared unit capacity is a minimum capacity increment of the candidate declared capacity; determining the plurality of candidate declared capacities based on the target declared capacity range and the minimum declared unit capacity.

3. The method of claim 2, wherein, The method of determining the target declared capacity range of the energy storage device in the predetermined time period comprises the following steps: determining an initial declared capacity range of the energy storage device in the predetermined time period based on a historical declared capacity range of the energy storage device and an energy storage configuration requirement of the energy storage device; determining weather information, load prediction information and price fluctuation information of a region where the energy storage device is located in the predetermined time period and a current state of charge of the energy storage device; determining a correction coefficient based on the weather information, the load prediction information, the price fluctuation information and the current state of charge; correcting the initial declared capacity range by using the correction coefficient to obtain the target declared capacity range.

4. The method of claim 2, wherein, The method of determining the minimum declared unit capacity of the energy storage device in the predetermined time period comprises the following steps: determining a current health state, a charge-discharge power and a current state of charge of the energy storage device; determining the minimum declared unit capacity based on the current health state, the charge-discharge power and the current state of charge.

5. The method of claim 1, wherein, The method of determining the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively comprises the following steps: for any candidate declared capacity in the plurality of candidate declared capacities, determining a plurality of frequency modulation operation strategies corresponding to the any candidate declared capacity and frequency modulation parameters corresponding to the plurality of frequency modulation operation strategies respectively, wherein the frequency modulation parameters are collected in the predetermined time period, and the frequency modulation parameters at least include frequency modulation participating capacity, frequency modulation actual power and frequency modulation target power; determining frequency modulation compensation benefits corresponding to the plurality of frequency modulation operation strategies respectively based on frequency modulation participating capacities corresponding to the plurality of frequency modulation operation strategies respectively. determine the penalty cost corresponding to each of the plurality of frequency modulation operation strategies based on the actual frequency modulation power corresponding to each of the plurality of frequency modulation operation strategies and the target frequency modulation power corresponding to each of the plurality of frequency modulation operation strategies; determine the initial frequency modulation benefit corresponding to each of the plurality of frequency modulation operation strategies based on the frequency modulation compensation benefit corresponding to each of the plurality of frequency modulation operation strategies and the penalty cost corresponding to each of the plurality of frequency modulation operation strategies; determine the maximum frequency modulation benefit in the initial frequency modulation benefits corresponding to the plurality of frequency modulation operation strategies as the target frequency modulation benefit of the any candidate declared capacity; determine the target frequency modulation benefit corresponding to each of the plurality of candidate declared capacities in the manner of determining the target frequency modulation benefit of the any candidate declared capacity.

6. The method according to any one of claims 1 to 5, characterized in that, The determining of the target arbitrage benefit corresponding to each of the plurality of residual capacities comprises: for any residual capacity in the plurality of residual capacities, determining a plurality of arbitrage operation strategies corresponding to the any residual capacity, a peak regulation benefit corresponding to each of the plurality of arbitrage operation strategies, and a peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies; determine the initial arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies based on the peak regulation benefit corresponding to each of the plurality of arbitrage operation strategies and the peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies; determine the maximum arbitrage benefit in the initial arbitrage benefits corresponding to the plurality of arbitrage operation strategies as the target arbitrage benefit of the any residual capacity; determine the target arbitrage benefit corresponding to each of the plurality of residual capacities in the manner of determining the target arbitrage benefit of the any residual capacity.

7. The method of claim 6, wherein, The determining of the peak regulation benefit corresponding to each of the plurality of arbitrage operation strategies comprises: determining the peak regulation charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies; determine the peak regulation benefit corresponding to each of the plurality of arbitrage operation strategies based on the peak regulation charging power corresponding to each of the plurality of arbitrage operation strategies and the charging efficiency corresponding to each of the plurality of arbitrage operation strategies.

8. The method of claim 6, wherein, The determining of the peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies comprises: determining the power purchase corresponding to each of the plurality of arbitrage operation strategies, the power sale corresponding to each of the plurality of arbitrage operation strategies, the purchase electricity price corresponding to each of the plurality of arbitrage operation strategies, and the sale electricity price corresponding to each of the plurality of arbitrage operation strategies; determine the power purchase expenditure corresponding to each of the plurality of arbitrage operation strategies based on the power purchase corresponding to each of the plurality of arbitrage operation strategies and the purchase electricity price corresponding to each of the plurality of arbitrage operation strategies; determine the power sale benefit corresponding to each of the plurality of arbitrage operation strategies based on the power sale corresponding to each of the plurality of arbitrage operation strategies and the sale electricity price corresponding to each of the plurality of arbitrage operation strategies; determine the peak-valley arbitrage benefit corresponding to each of the plurality of arbitrage operation strategies based on the power purchase expenditure corresponding to each of the plurality of arbitrage operation strategies and the power sale benefit corresponding to each of the plurality of arbitrage operation strategies.

9. A device for determining the declared capacity of an energy storage device, characterized in that, It comprises: The first determining module is configured to determine a plurality of candidate declared capacities of the energy storage device in a predetermined time length; The second determining module is configured to determine target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively; The third determining module is configured to determine target arbitrage benefits corresponding to a plurality of residual capacities respectively, wherein the target arbitrage benefits at least include peak shaving benefits and peak-valley arbitrage benefits, the residual capacities are capacities remaining after the candidate declared capacities complete frequency modulation services, and the plurality of candidate declared capacities and the plurality of residual capacities correspond to each other in a one-to-one manner; The target benefit determining module is configured to determine target benefits corresponding to the plurality of candidate declared capacities respectively based on the target frequency modulation benefits corresponding to the plurality of candidate declared capacities respectively and the target arbitrage benefits corresponding to the plurality of residual capacities respectively; The target declared capacity determining module is configured to determine a candidate declared capacity corresponding to a maximum benefit in the target benefits as a target declared capacity of the energy storage device in the predetermined time length.

10. An electronic device, comprising: The one or more processors and the memory are configured to store one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors implement the method for determining a declared capacity of an energy storage device according to any one of claims 1 to 8. ​

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