Method, system, device and storage medium for determining energy storage capacity of regional power system

Abstract

The present invention belongs to the field of electric energy storage, and discloses a method, system, device and storage medium for determining the energy storage capacity of a regional power system, including obtaining the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life; according to the predicted operating life, the predicted load data and the predicted electricity price data, the regional power system energy storage capacity is obtained through a preset regional power system energy storage capacity determination model; and the regional power system energy storage capacity is output. Under the premise of fully considering the application requirements of the regional power system and the economic requirements of the regional power system, the energy storage system is optimally configured, taking into account the overall economy and flexibility of the regional power system, and also reducing the operating cost of the regional power system to a certain extent.

Description

Technical Field

[0001] The present invention belongs to the field of electric energy storage, and relates to a method, system, device and storage medium for determining the energy storage capacity of a regional power system. Background Art

[0002] Energy storage systems can flexibly adjust their own output, so they are widely used in power systems. At the same time, as energy storage technology continues to mature, the application scale of energy storage systems in power system generation, transmission, distribution and use is also increasing. At present, the types of energy storage systems are mainly pumped storage, and electrochemical energy storage accounts for a relatively low proportion. As a regulation resource with fast regulation speed, flexible layout and short construction period, electrochemical energy storage has continued to develop rapidly in recent years and is the energy storage technology with the greatest application potential in the future.

[0003] However, electrochemical energy storage systems or similar types of energy storage systems are still at the application level of local sites and lack overall planning at the power system level, which makes it difficult to accurately grasp the configuration capacity of the energy storage system. At the same time, based on the relatively high investment and construction costs of energy storage systems, inaccurate configuration capacity makes it difficult for energy storage systems to meet the economic requirements of power systems while meeting the application needs of power systems, which in turn increases the overall operating costs of power systems. Summary of the invention

[0004] The purpose of the present invention is to overcome the shortcomings of the above-mentioned prior art and provide a method, system, device and storage medium for determining the energy storage capacity of a regional power system.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect of the present invention, a method for determining energy storage capacity of a regional power system comprises:

[0007] Obtain the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life;

[0008] According to the predicted operating life, the predicted load data and the predicted electricity price data, the regional power system energy storage capacity is obtained through a preset regional power system energy storage capacity determination model;

[0009] Output regional power system energy storage capacity.

[0010] Optionally, obtaining the predicted load data of the regional power system within the predicted operating life includes:

[0011] Obtain the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system;

[0012] Based on the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system, the predicted load data of the regional power system within the predicted operating life is obtained.

[0013] Optionally, obtaining the predicted electricity price data of the regional power system spot market within the predicted operating life includes:

[0014] Get the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0 ;

[0015] According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y :

[0016]

[0017] Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in year y, α is the preset electricity price-sufficiency coefficient, and Q is the preset tight balance principle coefficient;

[0018] The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula:

[0019]

[0020] Among them, e y,i (t) is the predicted electricity price of the regional power system at the tth period on the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year.

[0021] Optionally, the objective function of the regional power system energy storage capacity determination model is:

[0022] F 0 =max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )]

[0023] Among them, F 0 To optimize the target value, F E is the economic objective function of the energy storage system to be constructed, P dis,maxis the regional power system energy storage capacity, F Emin is the minimum value of the economic objective function of the energy storage system to be constructed within the feasible domain, F C is the flexibility objective function of the regional power system, F Cmin is the minimum value of the flexibility objective function of the regional power system within the feasible domain;

[0024] F C =L total -L total,BESS

[0025] F E =B total -A

[0026] Among them, L total L is the load power outage loss within the predicted operating life of the regional power system without the construction of energy storage system; total,BESS The load outage loss reduced by the construction of energy storage system in the regional power system during the predicted operating life compared with the case of no energy storage system; B total is the total revenue of the energy storage system to be constructed within the predicted operating life, and A is the cost of the energy storage system to be constructed;

[0027]

[0028]

[0029]

[0030] Wherein, Y is the predicted operating life, D is the number of operating days in the yth year of the predicted operating life, and L y,i is the load outage loss on the i-th day of year y after the regional power system has not built an energy storage system, T is the total number of time periods on the i-th day, c 0 is the power outage loss per unit load, Δt is the unit time, P load,t is the average forecast load of the regional power system in the tth period, P max,y is the maximum predicted load in year y, Q is the preset tight balance principle coefficient;

[0031]

[0032]

[0033]

[0034] Among them, L y,i,BESS is the load outage loss reduced on the i-th day of year y after the regional power system builds the energy storage system compared to the situation without the energy storage system;

[0035]

[0036]

[0037] Among them, B y,i is the revenue of the energy storage system on the i-th day of the y-th year, e y,i (t) is the predicted electricity price of the regional power system at the tth period of the ith day of the yth year, P dis,t is the discharge power of the energy storage system in the tth period, P ch,t is the charging power of the energy storage system in the tth period, E 1 is the initial capacity of the energy storage system, and γ is the annual equivalent battery capacity attenuation rate of the energy storage system.

[0038] Optionally, the preset tight balance principle coefficient is 95, and the tth time period is the tth 15 minutes.

[0039] In a second aspect of the present invention, a system for determining energy storage capacity of a regional power system comprises:

[0040] A data acquisition module, used to acquire the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life;

[0041] A processing module, configured to obtain the energy storage capacity of the regional power system according to the predicted operating life, the predicted load data and the predicted electricity price data through a preset regional power system energy storage capacity determination model;

[0042] The data output module is used to output the energy storage capacity of the regional power system.

[0043] Optionally, the acquisition module is specifically used for:

[0044] Obtain the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system;

[0045] Obtaining predicted load data of the regional power system within the predicted operating life according to the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system;

[0046] Get the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0 ;

[0047] According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y :

[0048]

[0049] Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in year y, α is the preset electricity price-sufficiency coefficient, and Q is the preset tight balance principle coefficient;

[0050] The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula:

[0051]

[0052] Among them, e y,i (t) is the predicted electricity price of the regional power system at the tth period on the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year.

[0053] Optionally, the objective function of the regional power system energy storage capacity determination model is:

[0054] F 0 =max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )]

[0055] Among them, F 0 To optimize the target value, F E is the economic objective function of the energy storage system to be constructed, P dis,max is the regional power system energy storage capacity, F Emin is the minimum value of the economic objective function of the energy storage system to be constructed within the feasible domain, F C is the flexibility objective function of the regional power system, F Cmin is the minimum value of the flexibility objective function of the regional power system within the feasible domain;

[0056] F C =L total -L total,BESS

[0057] F E =B total -A

[0058] Among them, L total L is the load power outage loss within the predicted operating life of the regional power system without the construction of energy storage system; total,BESS The load outage loss reduced by the construction of energy storage system in the regional power system during the predicted operating life compared with the case of no energy storage system; Btotal is the total revenue of the energy storage system to be constructed within the predicted operating life, and A is the cost of the energy storage system to be constructed;

[0059]

[0060]

[0061]

[0062] Wherein, Y is the predicted operating life, D is the number of operating days in the yth year of the predicted operating life, and L y,i is the load outage loss on the i-th day of year y after the regional power system has not built an energy storage system, T is the total number of time periods on the i-th day, c 0 is the power outage loss per unit load, Δt is the unit time, P load,t is the average forecast load of the regional power system in the tth period, P max,y is the maximum predicted load in year y, Q is the preset tight balance principle coefficient;

[0063]

[0064]

[0065]

[0066] Among them, L y,i,BESS is the load outage loss reduced on the i-th day of year y after the regional power system builds the energy storage system compared to the situation without the energy storage system;

[0067]

[0068]

[0069] Among them, B y,i is the revenue of the energy storage system on the i-th day of the y-th year, e y,i (t) is the predicted electricity price of the regional power system at the tth period of the ith day of the yth year, P dis,t is the discharge power of the energy storage system in the tth period, P ch,t is the charging power of the energy storage system in the tth period, E 1 is the initial capacity of the energy storage system, and γ is the annual equivalent battery capacity attenuation rate of the energy storage system.

[0070] In a third aspect of the present invention, a computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method for determining the energy storage capacity of a regional power system when executing the computer program.

[0071] A fourth aspect of the present invention is a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for determining the energy storage capacity of a regional power system are implemented.

[0072] Compared with the prior art, the present invention has the following beneficial effects:

[0073] The method for determining the energy storage capacity of a regional power system of the present invention obtains the predicted operating life of the energy storage system to be constructed, as well as the predicted load data of the regional power system within the predicted operating life and the predicted electricity price data of the regional power system spot market within the predicted operating life, and then uses a preset regional power system energy storage capacity determination model to conduct a game between the economy of the energy storage system and the flexibility of the regional power system, and optimizes the energy storage capacity of the regional power system based on the game behavior, and finally accurately determines the energy storage capacity of the regional power system, thereby reducing the operating cost of the regional power system and ensuring the stable operation of the regional power system. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Figure 1 A flow chart of a method for determining energy storage capacity of a regional power system according to an embodiment of the present invention;

[0075] Figure 2 This is a block diagram of the system structure for determining the energy storage capacity of a regional power system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0076] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0077] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0078] As introduced in the background technology, the energy storage system of electrochemical energy storage or similar types of energy storage systems still remain at the application level of local sites and lacks overall planning at the power system level, which makes it difficult to accurately grasp the configuration capacity of the energy storage system. At the same time, based on the relatively high investment and construction costs of the energy storage system, the inaccurate configuration capacity makes it difficult for the energy storage system to meet the economic requirements of the power system while meeting the application needs of the power system, which in turn leads to an increase in the overall operating cost of the power system.

[0079] In order to improve the above-mentioned problems, an embodiment of the present invention provides a method for determining the energy storage capacity of a regional power system, including obtaining the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life; according to the predicted operating life, the predicted load data and the predicted electricity price data, the regional power system energy storage capacity is obtained through a preset regional power system energy storage capacity determination model; and the regional power system energy storage capacity is output. On the premise of fully considering the application needs of the regional power system and the economic requirements of the regional power system, the optimal configuration of the energy storage system is completed, taking into account the overall economy and flexibility of the regional power system, and also reducing the operating cost of the regional power system to a certain extent.

[0080] The present invention is further described in detail below in conjunction with the accompanying drawings:

[0081] See also Figure 1 In one embodiment of the present invention, a method for determining the energy storage capacity of a regional power system is provided. On the premise of fully considering the application needs of the regional power system and the economic requirements of the regional power system, the optimal configuration of the energy storage system is completed, the overall economy and flexibility of the regional power system are taken into account, and the operating cost of the regional power system is reduced to a certain extent.

[0082] Specifically, the method for determining the energy storage capacity of the regional power system includes the following steps:

[0083] S1: Obtain the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life.

[0084] S2: According to the predicted operating life, the predicted load data and the predicted electricity price data, the regional power system energy storage capacity is obtained through a preset regional power system energy storage capacity determination model.

[0085] S3: Output regional power system energy storage capacity.

[0086] Among them, the preset regional power system energy storage capacity determination model is a Nash negotiation game equilibrium model that takes into account the economy of the energy storage system and the flexibility of the regional power system. Specifically, when characterizing the economy of the energy storage system, the economic objective function of the energy storage system is established by taking the benefits of the energy storage system participating in the regional power system electricity spot market as the basis, and when characterizing the flexibility of the regional power system, the flexibility objective function of the regional power system is established by taking the load economic loss of the regional power system as the basis. This regional power system energy storage capacity determination model accurately determines the energy storage capacity of the regional power system by utilizing the game between the economy of the energy storage system and the flexibility of the regional power system.

[0087] In summary, the method for determining the energy storage capacity of a regional power system of the present invention obtains the predicted operating life of the energy storage system to be constructed, as well as the predicted load data of the regional power system within the predicted operating life and the predicted electricity price data of the regional power system spot market within the predicted operating life, and then uses a preset regional power system energy storage capacity determination model to conduct a game between the economy of the energy storage system and the flexibility of the regional power system. Based on the game behavior, the energy storage capacity of the regional power system is optimized, and finally the energy storage capacity of the regional power system is accurately determined, thereby reducing the operating cost of the regional power system and ensuring the stable operation of the regional power system.

[0088] In a possible implementation, obtaining the predicted load data of the regional power system within the predicted operating life includes: obtaining the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; and obtaining the predicted load data of the regional power system within the predicted operating life based on the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system.

[0089] Specifically, the annual load curve of the regional power system in the previous year is obtained from the power dispatching system, and the daily load curve for the next Y years is predicted based on the average annual load growth rate λ, where Y is the predicted operating life.

[0090] In a possible implementation manner, obtaining the predicted electricity price data of the regional power system spot market within the predicted operating life includes: obtaining the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0 According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y :

[0091]

[0092] Among them, P dis,maxis the regional power system energy storage capacity, P max,y is the maximum forecast load in the yth year, α is the preset electricity price-abundance coefficient, and Q is the preset tight balance principle coefficient.

[0093] The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula:

[0094]

[0095] Among them, e y,i (t) is the predicted electricity price of the regional power system at the tth period on the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year.

[0096] Specifically, in this embodiment, when obtaining the predicted electricity price data, the cycle is 15 minutes. First, through the transaction data of the regional power system spot market, the electricity price signal of the regional power system spot market with a cycle of 15 minutes in the current year is obtained. 0 (t), and then the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year is obtained by the following formula: 峰谷,0 :

[0097]

[0098] Among them, e 0峰,i is the peak electricity price of the regional power system on the i-th day of the previous year, e 0谷,i is the valley electricity price of the regional power system on the i-th day of the previous year.

[0099] In this embodiment, the planning is carried out according to the tight balance principle of 95% maximum peak load, so the preset tight balance principle coefficient is 95. Then, according to the following formula, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life 峰谷,y :

[0100]

[0101] Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in year y, and α is the preset electricity price-abundance coefficient, which is 1 by default.

[0102] Finally, according to the maximum peak-to-valley price ratio ε of the regional power system spot market in the yth year within the predicted operating life 峰谷,y , the maximum peak-to-valley price ratio of the regional power system spot market in the previous year ε 峰谷,0, and the electricity price of the regional power system in the tth period on the i-th day of the previous year, to predict the predicted electricity price data of the regional power system spot market within the predicted operating life.

[0103] In a possible implementation manner, the preset regional power system energy storage capacity determination model is constructed by the following steps:

[0104] In this embodiment, planning is carried out according to the tight balance principle of 95% maximum peak load. First, regarding the flexibility of the regional power system, a load outage loss function is established:

[0105]

[0106]

[0107] Among them, L y,i is the load outage loss on the i-th day of year y after the regional power system has not built an energy storage system, T is the total number of time periods on the i-th day, c 0 is the power outage loss per unit load, ΔP t is the load power when it is higher than 95% of the peak load, Δt is the unit time, generally 15 minutes, P load,t is the average forecast load of the regional power system in the tth period, P max,y is the maximum predicted load in year y.

[0108] Then, a load outage loss function within the predicted operating life is constructed for the regional power system without the energy storage system:

[0109]

[0110] Among them, L total It is the load power outage loss within the predicted operating life after the regional power system has not built the energy storage system. The predicted operating life is in years, and D is the annual operating days in the yth year of the predicted operating life.

[0111] Then, a function of load outage loss is constructed to reduce the load after the regional power system builds the energy storage system during the predicted operating life compared to when the energy storage system is not built:

[0112]

[0113]

[0114]

[0115] Among them, L total,BESS L is the load outage loss reduced by building an energy storage system in the regional power system during the predicted operating life compared to not building an energy storage system.y,i,BESS It is the load outage loss reduced on the i-th day of year y after the regional power system builds the energy storage system compared with the situation without building the energy storage system.

[0116] Then, based on L total and L total,BESS Constructing the flexibility objective function F of the regional power system C : F C =L total -L total,BESS , to characterize the flexibility of the regional power system.

[0117] Secondly, regarding the economic efficiency of the energy storage system, the energy storage system is charged and discharged at a commercial operation mode of low-peak electricity prices and peak-peak electricity prices, and the energy storage daily revenue function is established:

[0118]

[0119] Among them, B y,i is the revenue of the energy storage system on the i-th day of the y-th year, P dis,t is the discharge power of the energy storage system in the tth period, P ch,t is the charging power of the energy storage system in the tth period, E 1 is the initial capacity of the energy storage system, and γ is the annual equivalent battery capacity attenuation rate of the energy storage system.

[0120] On this basis, the total benefit function of the energy storage system to be built within the predicted operating life is constructed:

[0121]

[0122] Among them, B total It is the total revenue of the energy storage system to be constructed within the predicted operating life.

[0123] Then, according to the total benefit function B of the energy storage system to be constructed within the predicted operating life total As well as the cost A of the energy storage system to be built, the economic objective function F of the energy storage system to be built is constructed E : F E =B total -A, which characterizes the economic efficiency of the energy storage system.

[0124] Optionally, the cost of the energy storage system to be built is A = p 1 E 1 +p 0 Y, where p 1 is the initial unit capacity investment cost of the energy storage system, p 0 It is the annual operation and maintenance cost of the energy storage system.

[0125] Finally, the Nash negotiation game equilibrium model of the two participating entities, the flexibility of the regional power system and the economy of the energy storage system, is constructed: 0 =max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )], where F 0 To optimize the target value, F Emin is the minimum value of the economic objective function of the energy storage system to be constructed within the feasible domain, F Cmin is the minimum value of the flexibility objective function of the regional power system in the feasible domain. According to the Pareto optimality principle, F 0 P at the maximum value dis,max , which is the optimal regional power system energy storage capacity.

[0126] The following are device embodiments of the present invention, which can be used to implement the method embodiments of the present invention. For details not disclosed in the device embodiments, please refer to the method embodiments of the present invention.

[0127] See also Figure 2 In another embodiment of the present invention, a regional power system energy storage capacity determination system is provided, which can be used to implement the above-mentioned regional power system energy storage capacity determination method. Specifically, the regional power system energy storage capacity determination system includes a data acquisition module, a processing module and a data output module.

[0128] Among them, the data acquisition module is used to obtain the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life; the processing module is used to obtain the regional power system energy storage capacity according to the predicted operating life, the predicted load data and the predicted electricity price data through a preset regional power system energy storage capacity determination model; the data output module is used to output the regional power system energy storage capacity.

[0129] In one possible implementation, the acquisition module is specifically used to: obtain the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; and obtain the predicted load data of the regional power system within the predicted operating life based on the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system.

[0130] In a possible implementation manner, the acquisition module is specifically used to: obtain the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y :

[0131]

[0132] Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in the yth year, α is the preset electricity price-abundance coefficient, and Q is the preset tight balance principle coefficient.

[0133] The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula:

[0134]

[0135] Among them, e y,i (t) is the predicted electricity price of the regional power system at the tth period on the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year.

[0136] In a possible implementation, the objective function of the regional power system energy storage capacity determination model is:

[0137] F 0 =max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )]

[0138] in:

[0139] F C =L total -L total,BESS

[0140] F E =B total -A

[0141]

[0142]

[0143]

[0144]

[0145]

[0146]

[0147]

[0148]

[0149] All relevant contents of each step involved in the embodiment of the aforementioned method for determining energy storage capacity of a regional power system can be referred to the functional description of the functional modules corresponding to the system for determining energy storage capacity of a regional power system in the embodiment of the present invention, and will not be repeated here.

[0150] The division of modules in the embodiments of the present invention is schematic and is only a logical function division. There may be other division methods in actual implementation. In addition, each functional module in each embodiment of the present invention may be integrated into one processor, or may exist physically separately, or two or more modules may be integrated into one module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0151] In another embodiment of the present invention, a computer device is provided, the computer device including a processor and a memory, the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc., which are the computing core and control core of the terminal, which are suitable for implementing one or more instructions, and are specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function; the processor described in the embodiment of the present invention can be used for the operation of the method for determining the energy storage capacity of the regional power system.

[0152] In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the method for determining the energy storage capacity of the regional power system in the above embodiment.

[0153] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may 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-ROM, optical storage, etc.) containing computer-usable program code.

[0154] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0155] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0156] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0157] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for determining energy storage capacity of a regional power system, characterized in that: include: Obtain the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life; According to the predicted operating life, the predicted load data and the predicted electricity price data, the regional power system energy storage capacity is obtained through a preset regional power system energy storage capacity determination model; The energy storage capacity of the power system in the exporting area; Obtaining the forecast load data of the regional power system within the forecast operating life includes: Obtain the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; Obtaining predicted load data of the regional power system within the predicted operating life according to the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; Obtaining the forecasted electricity price data of the regional power system spot market within the forecasted operating life includes: Get the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0 ; According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y : Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in year y, α is the preset electricity price-sufficiency coefficient, and Q is the preset tight balance principle coefficient; The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula: Among them, e y,i (t) is the predicted electricity price of the regional power system in the tth period of the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year; The objective function of the regional power system energy storage capacity determination model is: F0=max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )] Among them, F0 is the optimization target value, F E is the economic objective function of the energy storage system to be constructed, P dis,max is the regional power system energy storage capacity, F Emin is the minimum value of the economic objective function of the energy storage system to be constructed within the feasible domain, F C is the flexibility objective function of the regional power system, F Cmin is the minimum value of the flexibility objective function of the regional power system within the feasible domain; F C =L total -L total,BESS F E =B total -A Among them, L total L is the load power outage loss within the predicted operating life of the regional power system without the construction of energy storage system; total,BESS The load outage loss reduced by the construction of energy storage system in the regional power system during the predicted operating life compared with the case of no energy storage system; B total is the total revenue of the energy storage system to be constructed within the predicted operating life, and A is the cost of the energy storage system to be constructed; Wherein, Y is the predicted operating life, D is the number of operating days in the yth year of the predicted operating life, and L y,i is the load outage loss on the i-th day of year y in the regional power system without the construction of energy storage system, T is the total number of time periods on the i-th day, c0 is the unit load outage loss, Δt is the unit time, P load,t is the average forecast load of the regional power system in the tth period, P max,y is the maximum predicted load in year y, Q is the preset tight balance principle coefficient; Among them, L y,i,BESS is the load outage loss reduced on the i-th day of year y after the regional power system builds the energy storage system compared to the situation without the energy storage system; Among them, B y,i is the revenue of the energy storage system on the i-th day of the y-th year, e y,i (t) is the predicted electricity price of the regional power system in the tth period of the ith day of the yth year, P dis,t is the discharge power of the energy storage system in the tth period, P ch,t is the charging power of the energy storage system in the tth period, E1 is the initial capacity of the energy storage system, and γ is the annual equivalent battery capacity attenuation rate of the energy storage system.

2. The method for determining the energy storage capacity of a regional power system according to claim 1, characterized in that: The preset tight balance principle coefficient is 95, and the tth time period is the tth 15 minutes.

3. A system for determining energy storage capacity of a regional power system, characterized in that: include A data acquisition module, used to acquire the predicted operating life of the energy storage system to be constructed, the predicted load data of the regional power system within the predicted operating life, and the predicted electricity price data of the regional power system spot market within the predicted operating life; A processing module, configured to obtain the energy storage capacity of the regional power system according to the predicted operating life, the predicted load data and the predicted electricity price data through a preset regional power system energy storage capacity determination model; Data output module, used to output regional power system energy storage capacity; The acquisition module is specifically used for: Obtain the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; Obtaining predicted load data of the regional power system within the predicted operating life according to the load data of the regional power system in the previous year and the average annual load growth rate of the regional power system; Get the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the previous year 峰谷,0 ; According to the maximum peak-to-valley electricity price ratio of the regional power system spot market in the previous year, the maximum peak-to-valley electricity price ratio ε of the regional power system spot market in the yth year within the predicted operating life is obtained by the following formula: 峰谷,y : Among them, P dis,max is the regional power system energy storage capacity, P max,y is the maximum forecast load in year y, α is the preset electricity price-sufficiency coefficient, and Q is the preset tight balance principle coefficient; The forecast electricity price data of the regional power system spot market within the forecast operating life is obtained by the following formula: Among them, e y,i (t) is the predicted electricity price of the regional power system in the tth period of the ith day of the yth year, e 0,i (t) is the electricity price of the regional power system in the tth period on the i-th day of the previous year; The objective function of the regional power system energy storage capacity determination model is: F0=max[F E (P dis,max )-F Emin )][F C (P dis,max )-F Cmin )] Among them, F0 is the optimization target value, F E is the economic objective function of the energy storage system to be constructed, P dis,max is the regional power system energy storage capacity, F Emin is the minimum value of the economic objective function of the energy storage system to be constructed within the feasible domain, F C is the flexibility objective function of the regional power system, F Cmin is the minimum value of the flexibility objective function of the regional power system within the feasible domain; F C =L total -L total,BESS F E =B total -A Among them, L total L is the load power outage loss within the predicted operating life of the regional power system without the construction of energy storage system; total,BESS The load outage loss reduced by the construction of energy storage system in the regional power system during the predicted operating life compared with the case of no energy storage system; B total is the total revenue of the energy storage system to be constructed within the predicted operating life, and A is the cost of the energy storage system to be constructed; Wherein, Y is the predicted operating life, D is the number of operating days in the yth year of the predicted operating life, and L y,i is the load outage loss on the i-th day of year y in the regional power system without the construction of energy storage system, T is the total number of time periods on the i-th day, c0 is the unit load outage loss, Δt is the unit time, P load,t is the average forecast load of the regional power system in the tth period, P max,y is the maximum predicted load in year y, Q is the preset tight balance principle coefficient; Among them, L y,i,BESS is the load outage loss reduced on the i-th day of year y after the regional power system builds the energy storage system compared to the situation without the energy storage system; Among them, B y,i is the revenue of the energy storage system on the i-th day of the y-th year, e y,i (t) is the predicted electricity price of the regional power system in the tth period of the ith day of the yth year, P dis,t is the discharge power of the energy storage system in the tth period, P ch,t is the charging power of the energy storage system in the tth period, E1 is the initial capacity of the energy storage system, and γ is the annual equivalent battery capacity attenuation rate of the energy storage system.

4. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method for determining the energy storage capacity of a regional power system as described in any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for determining the energy storage capacity of a regional power system as claimed in any one of claims 1 to 2 are implemented.

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