Wind power and energy storage configuration scheme determination method, system and equipment and storage medium
By calculating the unit trusted capacity investment cost of wind power data, energy storage data and load data, and determining the wind power and energy storage configuration plan, the problems of insufficient output volatility of wind power and peak load power support capacity in the existing technology are solved, and efficient and economical power support effect is achieved.
Patent Information
- Application Number
- CN202311517849.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-15
- Publication Date
- 2025-05-16
AI Technical Summary
The existing wind power and energy storage configuration plans fail to effectively solve the problems of inherent volatility of wind power output and power support capacity during peak load periods, resulting in the unreasonable configuration plans.
By obtaining wind power data, energy storage data and load data in the target area, calculate the unit trusted capacity investment cost of each preset plan, and determine the lowest cost wind power and energy storage configuration plan.
The power support capacity of wind power supporting energy storage during peak load periods has been achieved to ensure the rationality and effectiveness of the configuration plan.
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Figure CN120016522A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of wind power and energy storage technology, and in particular to a method, system, device and storage medium for determining a wind power and energy storage configuration scheme. Background Art
[0002] With the access of large-scale wind power, its output is inherently volatile, random and uncertain, and has the characteristics of anti-peak regulation, which brings challenges to the balance of power supply and demand. As a flexible regulation resource, energy storage can cooperate with wind power to improve the power support capacity for peak loads. At present, the existing energy storage configuration technology methods do not pay attention to the power support capacity of wind power supporting energy storage during peak load periods, which may lead to unreasonable configuration solutions. Summary of the invention
[0003] The embodiments of the present application provide a method and system for determining a wind power and energy storage configuration scheme, which can solve the problem that the configuration schemes given in the related art are not reasonable enough.
[0004] In order to solve the above technical problems, this application is implemented as follows:
[0005] In a first aspect, an embodiment of the present application provides a method for determining a wind power and energy storage configuration scheme, the method comprising:
[0006] Obtain wind power data, energy storage data and load data of the target area, wherein the wind power data includes the daily guaranteed wind power volume, the wind power output curve on the day of the daily guaranteed wind power volume, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval;
[0007] Acquire a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage ratio and energy storage duration;
[0008] Based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes, calculate the unit credible capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes;
[0009] A target wind power and energy storage configuration scheme is determined from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
[0010] In a second aspect, an embodiment of the present application further provides a wind power and energy storage configuration solution system, the wind power and energy storage configuration solution system comprising:
[0011] An acquisition module is used to acquire wind power data, energy storage data and load data of a target area, wherein the wind power data includes the daily guaranteed wind power quantity, the wind power output curve on the day of the daily guaranteed wind power quantity, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval;
[0012] The acquisition module is used to acquire a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage ratio and energy storage duration;
[0013] A calculation module, configured to calculate the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes;
[0014] A determination module is used to determine a target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
[0015] In a third aspect, an embodiment of the present application further provides a wind power and energy storage configuration device, comprising a processor, a memory and a communication interface, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the communication interface can be used for data and information transmission and exchange between an external device or user circuit and a CPU to implement the steps of the method for determining a wind power and energy storage configuration scheme described in the above embodiment.
[0016] In a fourth aspect, an embodiment of the present application further provides a storage medium storing a program or instruction, which, when executed by a processor, implements the steps of the method for determining a wind power and energy storage configuration scheme described in the above embodiment when transmitted and exchanged via a communication interface.
[0017] In the embodiment of the present application, by obtaining wind power, energy storage, load related data and multiple preset wind power and energy storage configuration options, the wind power strict output curve is calculated, the credible capacity, investment cost and unit credible capacity investment cost of each option are calculated, and finally the wind power and energy storage configuration plan is determined based on the lowest unit credible capacity investment cost. BRIEF DESCRIPTION OF THE DRAWINGS
[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0019] Figure 1 It is a flow chart of a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application;
[0020] Figure 2 It is a detailed flow chart of a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application;
[0021] Figure 3 It is a schematic diagram of a wind power strict output curve of a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application;
[0022] Figure 4 It is a schematic diagram of credible capacity in a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application;
[0023] Figure 5 It is a schematic diagram of the structure of a wind power and energy storage configuration solution system provided in an embodiment of the present application;
[0024] Figure 6 It is a schematic diagram of a device structure provided in an embodiment of the present application. DETAILED DESCRIPTION
[0025] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0026] Unless otherwise defined, the technical terms or scientific terms used in this application should be understood by people with ordinary skills in the field to which this application belongs. The words "first", "second" and similar words used in this application do not indicate any order, quantity or importance, but are only used to distinguish different components. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship also changes accordingly.
[0027] This application embodiment provides a method for determining a wind power and energy storage configuration solution. Figure 1 , Figure 1 is a detailed flow chart of a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application, such as Figure 1 As shown, the following steps are included:
[0028] Step 11, obtaining wind power data, energy storage data and load data of the target area, wherein the wind power data includes the daily guaranteed wind power volume, the wind power output curve on the day of the daily guaranteed wind power volume, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval;
[0029] Step 12, obtaining a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage ratio and energy storage duration;
[0030] Step 13, based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes, calculating the unit credible capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes;
[0031] Step 14: determine a target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
[0032] The method for determining the wind power and energy storage configuration scheme described in the embodiment of the present application obtains wind power, energy storage, load related data and multiple preset wind power and energy storage configuration options, wherein the wind power data includes: daily guaranteed wind power electricity, wind power output curve on the day of the wind power daily guaranteed electricity, wind power guaranteed output and annualized unit investment cost of wind power; the energy storage data includes: annualized unit power investment cost of energy storage, annualized unit capacity investment cost of energy storage, energy storage charging efficiency, energy storage discharge efficiency; then the load data includes: load peak time interval; multiple wind power and energy storage configuration options include energy storage ratio and energy storage duration; the wind power strict output curve is calculated based on the relevant data, the credible capacity, investment cost and unit credible capacity investment cost of each option are calculated, and finally the wind power and energy storage configuration scheme is determined based on the lowest unit credible capacity investment cost, which can economically and efficiently improve the power support capacity of wind power and energy storage configuration during peak load periods.
[0033] Optionally, based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes; calculating the unit credible capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes includes:
[0034] The strict wind power output curve is calculated according to the wind power daily guaranteed power, the wind power output curve on the day when the wind power daily guaranteed power is located, the wind power guaranteed output and the load peak time interval.
[0035] Calculate the credible capacity of each of the plurality of preset wind power and energy storage configuration schemes according to the wind power strict output curve, the wind power guaranteed output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval;
[0036] Calculate the investment cost of each of the plurality of preset wind power and energy storage configuration schemes according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage;
[0037] Based on the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes and the trusted capacity of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes, the unit trusted capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is calculated, wherein the unit trusted capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is the ratio of the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes to the trusted capacity of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes.
[0038] Please refer to Figure 2 , Figure 2 is a detailed flow chart of a method for determining a wind power and energy storage configuration scheme provided in an embodiment of the present application, such as Figure 2As shown, the following steps are included: Step 21, obtaining wind power data, energy storage data and load data of the target area and multiple preset wind power and energy storage configuration schemes in the target area; Step 22, calculating the wind power strict output curve; Step 23, calculating the trusted capacity of each of the preset multiple wind power and energy storage configuration schemes; Step 24, calculating the investment cost of each of the preset multiple wind power and energy storage configuration schemes; Step 25, calculating the unit trusted capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes, wherein the unit trusted capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes is the ratio of the investment cost of each of the preset multiple wind power and energy storage configuration schemes and the trusted capacity of each of the preset multiple wind power and energy storage configuration schemes. The strict wind power output curve is calculated based on the guaranteed daily wind power output, the wind power output curve on the day of the guaranteed daily wind power output, the guaranteed wind power output and the peak load period interval; the credible capacity of each of the multiple preset wind power and energy storage configuration schemes is calculated based on the strict wind power output curve, the guaranteed wind power output, the energy storage charging efficiency, the energy storage discharging efficiency and the peak load period interval; the investment cost of each of the multiple preset wind power and energy storage configuration schemes is calculated based on the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage; the unit credible capacity investment cost of each of the multiple wind power and energy storage configuration schemes is calculated based on the investment costs of multiple wind power and energy storage configuration schemes and the credible capacities of the multiple preset wind power and energy storage configuration schemes.
[0039] In this implementation, the wind power strict output curve, reliable capacity, investment cost and unit reliable capacity investment cost are calculated through wind power data, energy storage data, load data and multiple preset wind power and energy storage configuration schemes to promote efficient and safe development of the system.
[0040] Optionally, according to the daily guaranteed wind power quantity, the wind power output curve on the day when the daily guaranteed wind power quantity is located, the guaranteed wind power output and the load peak time interval, the wind power strict output curve is calculated as follows, including: the wind power output corresponding to the load peak time interval in the wind power strict output curve is set as the guaranteed wind power output, and the wind power output corresponding to the time period outside the load peak time interval in the wind power strict output curve is calculated by the following calculation method:
[0041]
[0042] Among them, p wt—is used to characterize the output of the wind power strict output curve in the period t outside the load peak period, p wot —The wind power output curve used to characterize the output of the wind power daily guaranteed power on the day when the wind power output curve is outside the load peak period, θ NP —A set used to characterize the time periods outside the load peak period, W G —Used to characterize the daily guaranteed amount of wind power, P G — used to characterize the guaranteed output of wind power, T P —Used to characterize the length of the load peak period interval.
[0043] Please refer to Figure 3 , calculate the wind power strict output curve 31 according to the daily guaranteed wind power electricity, the wind power output curve 32 of the day when the wind power daily guaranteed electricity is located, the wind power guaranteed output and the load peak period interval; illustratively, in some embodiments, such as an example of a wind power energy storage configuration hybrid system in a certain area, the daily guaranteed wind power electricity is 1.50h, the wind power guaranteed output is 0.30, the annualized unit investment cost of wind power is 616 yuan / kW, the annualized unit power investment cost of energy storage is 81 yuan / kW, the annualized unit capacity investment cost of energy storage is 146 yuan / kWh, the energy storage charging efficiency is 0.9, the energy storage discharging efficiency is 0.9, and the load peak period interval is 18-22 hours, a total of 5 hours. The energy storage ratio is 10%, 20%, 30%, 40%, 50%, and the energy storage duration is 2h, 4h, and 6h. There are a total of 15 configuration schemes in the wind power energy storage configuration scheme. Among them, the wind power output of the wind power strict output curve during the peak load period is the wind power guaranteed output. Substitute the relevant data in the embodiment into From the formula, we can get the output of the wind power strict output curve outside the load peak period. The details are shown in the wind power strict output curve table: Unit: pu
[0044]
[0045] Optionally, the reliable capacity of each of the preset multiple wind power and energy storage configuration schemes is calculated according to the wind power strict output curve, the wind power guaranteed output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval, including:
[0046]
[0047] Among them, P TC —used to characterize the trusted capacity 40, P G — used to characterize the guaranteed wind power output 41, ρ ESD — used to characterize the energy storage discharge efficiency, ρ ESC— used to characterize the energy storage charging efficiency, p wt — used to characterize the output of the wind power strict output curve in period t, θ NP —A set used to characterize the time periods outside the load peak period, R ES — used to characterize the energy storage ratio, T ES — used to characterize the energy storage duration, T P —Used to characterize the length of the load peak period interval.
[0048] Please refer to Figure 4 , energy storage discharge 43 and energy storage charge 42 as Figure 4 As shown, the energy storage ratio is 10%, and the energy storage duration is 2h. Substituting the relevant data in the embodiment into the formula, the reliable capacity can be 40. Details are shown in the credible capacity calculation table for multiple preset wind power and energy storage configuration schemes: Unit: pu
[0049]
[0050] Optionally, the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is calculated according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage, including: wind power investment cost and energy storage investment cost, and the calculation method is:
[0051] I T =UI W +UI ESP R ES +UI ESC R ES T ES
[0052] Among them, I T — used to characterize the investment cost, UI W —Used to represent the annualized unit investment cost of wind power, UI ESP —Used to characterize the annualized unit power investment cost of energy storage, UI ESC —Used to characterize the annualized unit capacity investment cost of energy storage, R ES — used to characterize the energy storage ratio, T ES —Used to characterize the energy storage duration.
[0053] The investment cost includes the wind power investment cost and the energy storage investment cost; the investment cost can be obtained by substituting the relevant data in the embodiment into the formula, T =UI W +UI ESP R ES +UIESC R ES T ES , details are shown in the investment cost calculation table of multiple preset wind power and energy storage configuration schemes: Unit: RMB / kW
[0054]
[0055] Optionally, determining a target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes includes:
[0056] Among the multiple wind power and energy storage configuration schemes, the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost is determined as the target wind power and energy storage configuration scheme.
[0057] The unit credible capacity investment cost refers to the ratio of investment cost to credible capacity. The unit credible capacity investment cost can be obtained according to the relevant data in the embodiment. The details are shown in the unit credible capacity investment cost calculation table of multiple preset wind power and energy storage configuration schemes: Unit: RMB / kW
[0058]
[0059] In this implementation, it can be intuitively obtained that the investment cost per unit credible capacity is lowest when the energy storage ratio is 30% and the energy storage duration is 4 hours. The energy storage ratio of 30% and the energy storage duration of 4 hours are determined as the target wind power and energy storage configuration scheme of the wind power and energy storage configuration hybrid system in the region.
[0060] The embodiment of the present application provides a wind power and energy storage configuration scheme system, which obtains wind power, energy storage, load-related data and multiple preset wind power and energy storage configuration schemes, and then calculates the wind power strict output curve, calculates the credible capacity, investment cost and unit credible capacity investment cost of multiple preset wind power and energy storage configuration schemes, and finally determines the wind power and energy storage configuration scheme according to the unit credible capacity investment cost. The wind power and energy storage configuration scheme system provided by the embodiment of the present application economically and efficiently improves the power support capacity of wind power supporting energy storage during peak load periods, and provides a reference for power system planning.
[0061] Please refer to Figure 5 , Figure 5 A schematic diagram of the wind power and energy storage configuration system provided in the embodiment of the present application. Figure 5 As shown, the wind power and energy storage configuration solution system 50 includes:
[0062] The acquisition module 51 is used to acquire wind power data, energy storage data and load data of the target area, wherein the wind power data includes the daily guaranteed wind power quantity, the wind power output curve on the day of the daily guaranteed wind power quantity, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval;
[0063] The acquisition module 51 is used to acquire a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage proportion and energy storage duration;
[0064] A calculation module 52, configured to calculate the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes based on the wind power data, energy storage data of the target area and the load data of the target area and the preset multiple wind power and energy storage configuration schemes;
[0065] The determination module 53 is used to determine a target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
[0066] Optionally, the calculation module 52 includes:
[0067] A first calculation unit is used to calculate a wind power strict output curve according to the wind power daily guaranteed power, the wind power output curve on the day when the wind power daily guaranteed power is located, the wind power guaranteed output and the load peak time interval;
[0068] A second calculation unit is used to calculate the credible capacity of each of the preset multiple wind power and energy storage configuration schemes according to the wind power strict output curve, the wind power guaranteed output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval;
[0069] a third calculation unit, configured to calculate the investment cost of each of the plurality of preset wind power and energy storage configuration schemes according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage, and the annualized unit capacity investment cost of energy storage;
[0070] a fourth calculation unit, for calculating the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes based on the investment cost of each of the preset multiple wind power and energy storage configuration schemes and the credible capacity of each of the preset multiple wind power and energy storage configuration schemes, wherein the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes is the ratio of the investment cost of each of the preset multiple wind power and energy storage configuration schemes to the credible capacity of each of the preset multiple wind power and energy storage configuration schemes.
[0071] Optionally, the first computing unit further includes:
[0072] The method is used to calculate the wind power strict output curve according to the wind power daily guaranteed power, the wind power output curve of the day on which the wind power daily guaranteed power is located, the wind power guaranteed output and the load peak time interval as follows: the wind power output corresponding to the load peak time interval in the wind power strict output curve is set as the wind power guaranteed output, and the wind power output corresponding to the time period outside the load peak time interval in the wind power strict output curve is calculated by the following calculation method:
[0073]
[0074] Among them, p wt —is used to characterize the output of the wind power strict output curve in the period t outside the load peak period, p wot —The wind power output curve used to characterize the output of the wind power daily guaranteed power on the day when the wind power output curve is outside the load peak period, θ NP —A set used to characterize the time periods outside the load peak period, W G —Used to characterize the daily guaranteed amount of wind power, P G — used to characterize the guaranteed output of wind power, T P —Used to characterize the length of the load peak period interval.
[0075] Optionally, the second computing unit further includes:
[0076] The reliable capacity of each of the plurality of preset wind power and energy storage configuration schemes is calculated according to the strict wind power output curve, the guaranteed wind power output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval, including:
[0077]
[0078] Among them, PTC — used to characterize the trusted capacity, P G — used to characterize the guaranteed output of wind power, ρ ESD — used to characterize the energy storage discharge efficiency, ρ ESC — used to characterize the energy storage charging efficiency, p wt — used to characterize the output of the wind power strict output curve in period t, θ NP —A set used to characterize the time periods outside the load peak period, R ES — used to characterize the energy storage ratio, T ES — used to characterize the energy storage duration, T P —Used to characterize the length of the load peak period interval.
[0079] Optionally, the third computing unit further includes:
[0080] Used to calculate the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage, including: wind power investment cost and energy storage investment cost, the calculation method is:
[0081] I T =UI W +UI ESP R ES +UI ESC R ES T ES
[0082] Among them, I T — used to characterize the investment cost, UI W —Used to represent the annualized unit investment cost of wind power, UI ESP —Used to characterize the annualized unit power investment cost of energy storage, UI ESC —Used to characterize the annualized unit capacity investment cost of energy storage, R ES — used to characterize the energy storage ratio, T ES —Used to characterize the energy storage duration.
[0083] Optionally, the determination module 53 further includes:
[0084] A determination unit is used to determine the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the multiple wind power and energy storage configuration schemes as the target wind power and energy storage configuration scheme.
[0085] The various processes of the above-mentioned wind power and energy storage configuration scheme determination method embodiment can be implemented through the wind power and energy storage configuration scheme system, and the same technical effect can be achieved. To avoid repetition, they will not be described here.
[0086] Please refer to Figure 6 The embodiment of the present application further provides a device 60, including a processor 62, a memory 61 and a communication interface 63, wherein the memory 61 stores programs or instructions that can be run on the processor 62. When the programs or instructions are executed by the processor 62, the communication interface 63 can be used for data and information transmission and exchange between an external device or user circuit and a CPU, thereby realizing each process of the above-mentioned method for determining a wind power and energy storage configuration scheme, and achieving the same technical effect. To avoid repetition, it will not be described here.
[0087] The present application also provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, each process of the above-mentioned image processing method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it is not repeated here. The storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.
[0088] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.
[0089] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.
[0090] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.
Claims
1. A method for determining a wind power and energy storage configuration scheme, characterized in that: The method comprises: Obtain wind power data, energy storage data and load data of the target area, wherein the wind power data includes the daily guaranteed wind power volume, the wind power output curve on the day of the daily guaranteed wind power volume, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval; Acquire a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage ratio and energy storage duration; Based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes, calculate the unit credible capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes; A target wind power and energy storage configuration scheme is determined from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
2. The method according to claim 1, characterized in that: The wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes; Calculating the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes includes: The strict wind power output curve is calculated according to the wind power daily guaranteed power, the wind power output curve on the day when the wind power daily guaranteed power is located, the wind power guaranteed output and the load peak time interval. Calculate the credible capacity of each of the plurality of preset wind power and energy storage configuration schemes according to the wind power strict output curve, the wind power guaranteed output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval; Calculate the investment cost of each of the plurality of preset wind power and energy storage configuration schemes according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage; Based on the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes and the trusted capacity of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes, the unit trusted capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is calculated, wherein the unit trusted capacity investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is the ratio of the investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes to the trusted capacity of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes.
3. The method according to claim 2, characterized in that: The wind power strict output curve is calculated according to the wind power daily guaranteed power, the wind power output curve of the day on which the wind power daily guaranteed power is located, the wind power guaranteed output and the load peak time interval as follows: the wind power output corresponding to the load peak time interval in the wind power strict output curve is set as the wind power guaranteed output, and the wind power output corresponding to the time period outside the load peak time interval in the wind power strict output curve is calculated by the calculation method: Among them, p wt —is used to characterize the output of the wind power strict output curve in the period t outside the load peak period, p wot —The wind power output curve used to characterize the output of the wind power daily guaranteed power on the day when the wind power output curve is outside the load peak period, θ NP —A set used to characterize the time periods outside the load peak period, W G —Used to characterize the daily guaranteed amount of wind power, P G — used to characterize the guaranteed output of wind power, T P —Used to characterize the length of the load peak period interval.
4. The method according to claim 3, characterized in that: The calculating the credible capacity of each of the preset multiple wind power and energy storage configuration schemes according to the wind power strict output curve, the wind power guaranteed output, the energy storage charging efficiency, the energy storage discharging efficiency and the load peak time interval includes: Among them, P TC — used to characterize the trusted capacity, P G — used to characterize the guaranteed output of wind power, ρ ESD — used to characterize the energy storage discharge efficiency, ρ ESC — used to characterize the energy storage charging efficiency, p wt — used to characterize the output of the wind power strict output curve in period t, θ NP —A set used to characterize the time periods outside the load peak period, R ES — used to characterize the energy storage ratio, T ES — used to characterize the energy storage duration, T P —Used to characterize the length of the load peak period interval.
5. The method according to claim 4, characterized in that: The investment cost of each wind power and energy storage configuration scheme in the preset multiple wind power and energy storage configuration schemes is calculated according to the annualized unit investment cost of wind power, the annualized unit power investment cost of energy storage and the annualized unit capacity investment cost of energy storage, including: wind power investment cost and energy storage investment cost, and the calculation method is: I T =UI W +UI ESP R ES +UI ESC R ES T ES Among them, I T — used to characterize the investment cost, UI W —Used to represent the annualized unit investment cost of wind power, UI ESP —Used to characterize the annualized unit power investment cost of energy storage, UI ESC —Used to characterize the annualized unit capacity investment cost of energy storage, R ES — used to characterize the energy storage ratio, T ES —Used to characterize the energy storage duration.
6. The method according to claim 1, characterized in that: The determining of the target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes includes: Among the multiple wind power and energy storage configuration schemes, the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost is determined as the target wind power and energy storage configuration scheme.
7. A wind power and energy storage configuration scheme system, wherein the wind power and energy storage configuration scheme is used to obtain the optimal wind power and energy storage configuration scheme for the data acquisition module, calculation module and determination module in the target area, characterized in that: The system comprises: An acquisition module is used to acquire wind power data, energy storage data and load data of a target area, wherein the wind power data includes the daily guaranteed wind power quantity, the wind power output curve on the day of the daily guaranteed wind power quantity, the guaranteed wind power output and the annualized unit investment cost of wind power; the energy storage data includes the annualized unit power investment cost of energy storage, the annualized unit capacity investment cost of energy storage, the energy storage charging efficiency and the energy storage discharging efficiency; and the load data includes the load peak time interval; The acquisition module is used to acquire a plurality of preset wind power and energy storage configuration schemes in the target area, wherein the schemes include energy storage ratio and energy storage duration; A calculation module, configured to calculate the unit credible capacity investment cost of each of the preset multiple wind power and energy storage configuration schemes based on the wind power data, energy storage data and load data of the target area and the preset multiple wind power and energy storage configuration schemes; A determination module is used to determine a target wind power and energy storage configuration scheme from the preset multiple wind power and energy storage configuration schemes, wherein the target wind power and energy storage configuration scheme is the wind power and energy storage configuration scheme with the lowest unit credible capacity investment cost among the preset multiple wind power and energy storage configuration schemes.
8. A device, characterized in that It includes a processor, a memory and a communication interface, the memory stores programs or instructions that can be run on the processor, and when the program or instruction is executed by the processor, the communication interface can be used for data and information transmission and exchange between an external device or user circuit and the CPU to implement the steps of the method for determining a wind power and energy storage configuration scheme as described in any one of claims 1 to 6.
9. A storage medium, characterized in that: The storage medium stores programs or instructions, and when the programs or instructions are executed by the processor and transmitted and exchanged through the communication interface, the steps of the method for determining a wind power and energy storage configuration scheme as described in any one of claims 1 to 6 are implemented.