Electrochemical energy storage configuration method and system during peak regulation of new energy access power grid

Abstract

The invention discloses an electrochemical energy storage configuration method and system when new energy accesses a power grid for peak regulation, and relates to the technical field of new energy power systems, and the method comprises the steps: selecting a typical month of peak regulation of a research level year; obtaining a load per unit value curve of a typical month; selecting a wind-solar power generation output curve; calculating the thermal power comprehensive minimum technical output rate of the whole province; determining the thermal power starting capacity of the maximum load day of a typical month; and calculating the peak regulation balance condition based on the thermal power starting capacity. According to the method, the intermittent characteristic of new energy power generation and the peak regulation requirement of the power grid are comprehensively analyzed, the accuracy and efficiency of energy storage configuration are remarkably improved, the thermal power comprehensive minimum technical output rate can be accurately calculated, the thermal power starting capacity is optimized, and the problem that in a traditional method, thermal power generating unit peak regulation is redundant or insufficient is solved; by dynamically evaluating the peak regulation demand gap, the capacity of the energy storage equipment is reasonably adjusted, so that the energy storage system can more effectively balance the fluctuation of new energy power generation, and the utilization rate of wind energy and light energy is maximized.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy power systems, and in particular to a method and system for configuring electrochemical energy storage when new energy is connected to a power grid for peak load regulation. Background Art

[0002] In recent years, with the rapid development of renewable energy technology, the installed capacity of new energy such as wind power and photovoltaic power generation has continued to rise globally. However, due to the significant intermittency and volatility of wind power and photovoltaic power generation, their output characteristics are difficult to fully match the dispatching needs of traditional power systems. In order to achieve efficient consumption of new energy and stable operation of the power grid, it is particularly important to improve the peak-shaving capacity of the power grid. In this context, electrochemical energy storage technology has gradually become an important technical means in the field of new energy peak-shaving due to its fast response speed, high regulation accuracy, and high energy density. At present, research on power grid peak-shaving mainly focuses on energy storage equipment configuration optimization and power balance modeling, which includes the analysis of load characteristics and new energy generation characteristics at different time scales, as well as the calculation and optimization of the minimum technical output rate of thermal power units. These studies provide theoretical support and practical basis for achieving efficient access to new energy and stable operation of the power grid.

[0003] However, the existing technology still has many shortcomings in the application of new energy access to the grid for peak regulation. First, the traditional energy storage configuration method fails to fully consider the typical spatiotemporal characteristics of new energy power generation and its dynamic impact on the peak regulation demand of the grid, resulting in insufficient accuracy in the configuration of energy storage capacity; secondly, the current thermal power startup capacity calculation method does not take into account the comprehensive minimum technical output rate of thermal power units, which may cause large technical waste or regulation imbalance in the peak regulation process of thermal power units; in addition, in the peak regulation balance calculation, the existing technology lacks systematic evaluation of wind and light energy utilization, especially fails to dynamically adjust the energy storage configuration scale in combination with the actual load and the matching of new energy power generation, which makes it difficult for the system to achieve a stable balance of power supply and demand on high-load days or in scenarios where the output of new energy fluctuates greatly. In response to the above problems, the present invention proposes an electrochemical energy storage configuration method based on the peak regulation of new energy access to the grid, which optimizes the energy storage configuration scale and peak regulation strategy by accurately modeling the new energy power generation curve and the load curve, and combining the thermal power startup capacity and the participation of energy storage equipment. Compared with the existing technology, the present invention has significant advantages in dynamic optimization of energy storage configuration, accurate assessment of peak-shaving gaps and improvement of new energy utilization rate, providing more reliable technical guarantee for achieving efficient consumption of new energy and safety of grid dispatching. Summary of the invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is that the expansion of large-scale renewable energy will bring significant challenges to the peak-shaving capacity of the power grid, and electrochemical energy storage has become one of the key measures to meet the peak-shaving needs of the system due to its rapid construction and significant results. A method for determining the required electrochemical energy storage scale based on peak-shaving balance calculation is proposed: first, in the absence of energy storage and insufficient wind and solar power generation on large-load days, the necessary startup capacity of thermal power units is evaluated; then, based on this thermal power startup capacity, the amount of electrochemical storage required to be configured in the scenario of sufficient wind and solar power generation is estimated; finally, the rationality of the configured energy storage is verified by the utilization rate of renewable energy throughout the year.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for configuring electrochemical energy storage when new energy is connected to the power grid for peak load regulation, which comprises the following steps:

[0007] Select a typical month for peak load regulation in the research level year; obtain the load per unit value curve of the typical month; select the wind and solar power generation output curve; calculate the comprehensive minimum technical output rate of thermal power in the province; clarify the thermal power generation capacity on the maximum load day of the typical month; calculate the peak load balance based on the thermal power generation capacity.

[0008] As a preferred solution of the electrochemical energy storage configuration method for peak load regulation when a new energy source is connected to the power grid as described in the present invention, the typical month is month i.

[0009] The load per unit value curve of the typical month is expressed as:

[0010] K i =A i B i C i

[0011] Among them, K i is the per unit curve of the typical week of the ith month after considering the annual and daily load characteristics, C i is the unit value of the typical daily load curve in the ith month, C i =[x 1 ,x 2 ,x 3 ,x 4 ..........x 24 ], where x 1 、x 2 、x 3 ………x 24 For loads of 1 to 24 hours, B i is the per unit value of the typical weekly load curve in month i, B i =[y 1 ,y 2 ,y 3 ,y 4 ,y 5,y 6 ,y 7 ] T , where y 1 ,y 2 ,y 3 ……y 7 The maximum loads from Monday to Sunday of a typical week, respectively.

[0012] As a preferred scheme of the electrochemical energy storage configuration method for peak load regulation when new energy is connected to the power grid as described in the present invention, the selection of wind and solar power generation output curves includes collecting 8760 output curves of wind power and photovoltaic power stations that have been put into production in various regions of the province, and superimposing the 8760h output curves of wind power and photovoltaic power generation in each region respectively.

[0013] Taking the collected wind power and total photovoltaic installed capacity as the benchmark values, the typical wind and photovoltaic power generation output curves of each region after normalization for 8760h were obtained.

[0014] Combined with the wind power and photovoltaic power generation installed capacity in each region planned for each horizontal year, the standardized wind and solar power generation output curve of the provincial planned horizontal year is obtained, and the wind and solar small power generation curve and wind and solar large power generation curve of the i-th month are selected.

[0015] As a preferred solution of the electrochemical energy storage configuration method for peak load regulation of a new energy access to the power grid described in the present invention, wherein: the minimum technical output rate of thermal power in the province is expressed as:

[0016]

[0017] Among them, P i is the rated power of the i-th unit, γ i is the minimum technical output rate of the i-th unit, P 综 The minimum technical output of thermal power in the province, 综 is the province’s comprehensive minimum technical output rate of thermal power, and n is the number of thermal power plant units in the province.

[0018] As a preferred scheme of the electrochemical energy storage configuration method for peak-shaving when new energy is connected to the power grid as described in the present invention, the thermal power startup capacity of the maximum load day of a typical month is determined by setting a horizontal year and a wind and solar output scenario in which there is no power abandonment throughout the day, and determining the startup capacity of the thermal power.

[0019] As a preferred scheme of the electrochemical energy storage configuration method for peak-shaving when a new energy source is connected to the power grid, the calculation of the peak-shaving balance includes calculating the system's maximum peak-shaving demand gap and daily power abandonment on the maximum load day based on a scenario without the participation of energy storage equipment, and preliminarily evaluating the energy storage scale required by the system.

[0020] Calculate the peak-shaving balance in the scenario with the participation of energy storage equipment. If there is still a peak-shaving demand gap on that day, increase the capacity of the energy storage equipment and calculate the peak-shaving balance again.

[0021] If the peak load balance can be achieved on that day, the calculation ends.

[0022] According to the analysis results of each power balance scenario, the total amount of wind energy and solar energy that can be used by the system at time m on the maximum load day of the i-th month in each scenario is calculated as follows:

[0023] P Tim =P Lim -P him -P cim -P sim

[0024] Among them, P Tim is the available wind and solar energy capacity of the system at time m on the maximum load day of the i-th month, P Lim , P him , P cim , P sim It is the difference between the system's maximum load, hydropower output, thermal power output and energy storage output at time m. m represents a certain time of the day and the value range is from 1 to 24 hours.

[0025] As a preferred solution of the electrochemical energy storage configuration method for peak load regulation when a new energy source is connected to the power grid according to the present invention, the calculation of the peak load balance also includes calculating the peak load gap P at time m on the maximum load day of the i-th month. Rim , expressed as,

[0026] P Rim =P Pim -P Tim

[0027] Among them, P Pim represents the sum of wind power and solar power generation output at time m, P Rim is the peak-shaving gap at time m on the maximum load day of the i-th month. If there is a peak-shaving gap on that day, find the maximum value of the peak-shaving gap from 1 to 24 hours on that day. That is, the maximum peak-shaving gap on that day is expressed as,

[0028] P maxRi =max(P Ri1 ,P Ri2 ......P Ri24 )

[0029] Among them, P maxRi It is the largest peak-shaving gap.

[0030] Another object of the present invention is to provide an electrochemical energy storage configuration system for peak load regulation when new energy is connected to the power grid. The system can dynamically adjust the scale of energy storage configuration by accurately collecting and processing new energy power generation and load data, and evaluate the peak load balance state of the system in real time, so as to achieve efficient utilization of new energy power generation and stability of power grid operation. This solves the problems of existing energy storage configuration methods lacking precise matching of the fluctuation characteristics of new energy power generation and the dynamic changes of power grid peak load demand, incomplete peak load balance evaluation, and redundant or insufficient capacity configuration of energy storage equipment.

[0031] To solve the above technical problems, the present invention provides the following technical solutions: an electrochemical energy storage configuration system for peak load regulation when new energy is connected to the power grid, comprising: a data acquisition module, a data processing module, a peak load balance calculation module and an energy storage configuration optimization module.

[0032] The data acquisition module is responsible for obtaining the load per unit value curve of a typical month, selecting and collecting the wind and solar power generation output curve, including 8760 hours of output data.

[0033] The data processing module processes the load data of a typical month and generates a load per unit curve.

[0034] The peak load balance calculation module calculates the system maximum peak load demand gap and the daily power abandonment on the maximum load day.

[0035] The energy storage configuration optimization module dynamically adjusts the capacity of the energy storage equipment according to the peak load demand gap.

[0036] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for configuring electrochemical energy storage when a new energy source is connected to a power grid for peak load regulation are implemented.

[0037] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for configuring electrochemical energy storage when a new energy source is connected to a power grid for peak load regulation.

[0038] Beneficial effects of the present invention: The present invention proposes a method for energy storage configuration based on typical monthly loads and new energy output curves by comprehensively analyzing the intermittent characteristics of renewable energy power generation and the peak-shaving demand of the power grid, which significantly improves the accuracy and efficiency of energy storage configuration. Specifically, the present invention can accurately calculate the comprehensive minimum technical output rate of thermal power, optimize the startup capacity of thermal power, and avoid the problem of redundant or insufficient peak-shaving of thermal power units in traditional methods; by dynamically evaluating the peak-shaving demand gap and reasonably adjusting the capacity of energy storage equipment, the energy storage system can more effectively balance the fluctuations of renewable energy power generation and maximize the utilization of wind and solar energy. At the same time, the present invention combines load characteristics with renewable energy power generation characteristics to realize dynamic modeling and real-time balance evaluation of peak-shaving scenarios, effectively reducing the phenomenon of wind and solar abandonment, and improving the stability of power grid operation and the absorption capacity of new energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0040] Figure 1 An overall flow chart of a method for configuring electrochemical energy storage when connecting new energy to a power grid for peak load regulation is provided for the first embodiment of the present invention.

[0041] Figure 2 This is an overall framework diagram of an electrochemical energy storage configuration system for peak load regulation of a new energy grid connected to the grid, provided in accordance with a second embodiment of the present invention. DETAILED DESCRIPTION

[0042] In order to make the above-mentioned purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in the art without creative work should fall within the scope of protection of the present invention.

[0043] Example 1, reference Figure 1 , is an embodiment of the present invention, and provides a method for configuring electrochemical energy storage when a new energy source is connected to a power grid for peak load regulation, characterized in that:

[0044] S1: Select a typical month for the annual peak regulation of the research level.

[0045] Specifically, in the research level year, a typical month with the most prominent peak-shaving pressure (recorded as the i-th month) was selected, and it was decided to use the maximum load day of that month as the benchmark for the calculation of peak-shaving balance. For those power systems in the southwest region dominated by hydropower, thermal power or hydropower, due to the abundant and concentrated water volume in the flood season, the system often abandons power during this period, while it is relatively rare in the dry season. Therefore, it is appropriate to select a month in the flood season with greater peak-shaving pressure as a typical month for peak-shaving balance calculation. However, under the condition that the abandonment rate of new energy is limited to 5%, if the minimum load day in the flood season is selected as the typical day, the resulting electrochemical energy storage configuration may be excessive, which is economically unreasonable. Therefore, this article prefers to select the maximum load day in August of the flat water year, where the peak-shaving pressure is also significant, as a typical day for calculation.

[0046] S2: Obtain the load per unit value curve for a typical month.

[0047] Specifically, this paper predicts the annual load characteristics of the planned horizontal year, the typical weekly load characteristics of each month, and the load characteristics per unit curve of the typical day based on the analysis of historical load characteristics and the types and characteristics of the newly added loads in the planned year. Here, the typical weekly load characteristics are dimensionless (i.e., per unit) processing by selecting one week's load data to represent the load situation of the entire month, and taking the maximum load of the week as the benchmark value. On the basis of considering the annual and daily load characteristics, the load per unit curve of the representative week (7 days) of the ith month can be derived by formula (1). Subsequently, the per unit curve K of this week is extended according to the actual date distribution of the month to obtain the load per unit value curve of the month. In the same way, we can construct an 8760-hour load per unit curve covering the whole year. Finally, it is necessary to ensure that the sum of the product of the system's annual maximum load and each point in the 8760-hour per unit curve is equal to the actual power consumption of the whole year.

[0048] K i =A i B i C i (1)

[0049] Among them, K i is the per unit curve of the typical week of the ith month after considering the annual and daily load characteristics, C i is the unit value of the typical daily load curve in the ith month, C i =[x 1 ,x 2 ,x 3 ,x 4 ..........x 24 ], where x 1 、x 2、x 3 ………x 24 For loads of 1 to 24 hours, B i is the per unit value of the typical weekly load curve in month i, B i =[y 1 ,y 2 ,y 3 ,y 4 ,y 5 ,y 6 ,y 7 ] T , where y 1 ,y 2 ,y 3 ……y 7 The maximum loads from Monday to Sunday of a typical week, respectively.

[0050] S3: Select the wind and solar power output curve.

[0051] Specifically, the 8760h output curves of wind power and photovoltaic power stations in various regions of the province that have been put into operation are collected, and the 8760h output curves of wind power and photovoltaic power generation in each region are superimposed respectively; then the total installed capacity of wind power and photovoltaic power collected in the region is used as the benchmark value, and then the typical wind and solar power generation output curves after 8760h standardization in each region are obtained; combined with the wind power and photovoltaic power generation installed capacity of each region planned for each horizontal year, the standardized wind and solar power generation output curves for the planned horizontal year of the whole province can be obtained; on this basis, the wind and solar small-power curve and the wind and solar large-power curve of the i-th month are selected.

[0052] S4: Calculate the minimum comprehensive technical output rate of thermal power in the province;

[0053] The province's comprehensive minimum technical output rate of thermal power is expressed as:

[0054]

[0055]

[0056] Among them, P i is the rated power of the i-th unit, γ i is the minimum technical output rate of the i-th unit, P 综 The minimum technical output of thermal power in the province, 综 is the province’s comprehensive minimum technical output rate of thermal power, and n is the number of thermal power plant units in the province.

[0057] The minimum technical output rate of thermal power units is an important constraint in the peak load regulation process. If the output of a thermal power unit is lower than its minimum technical output rate, the unit will be unstable or even damaged. By calculating the province's comprehensive minimum technical output rate of thermal power, we can provide a basis for the reasonable dispatch of thermal power units, ensure that the units participate in peak load regulation within the scope of safe operation, and thus optimize the overall power dispatch strategy.

[0058] S5: Specify the thermal power generation capacity on the maximum load day of a typical month;

[0059] Specifically, determine the thermal power startup capacity (power balance calculation) on the maximum load day of the i-th month: Taking into account the volatility of wind and photovoltaic power generation output, we adopt a scenario of a normal water year with low wind and solar output, and set no power abandonment throughout the day in this scenario to meet the balance between the power demand and supply of the whole society on the maximum load day of the i-th month of that year. Based on this setting, we determine the startup capacity of thermal power to ensure that the planned peak-shaving power source has sufficient adaptability and flexibility. In this scenario, since there is no power abandonment, there is no need for energy storage equipment to participate in power balance.

[0060] S6: Calculate the peak load balance based on the thermal power generation capacity.

[0061] Specifically, based on the thermal power startup capacity determined on the maximum load day of the i-th month and the scenario where the wind and solar output is small, we further calculated the peak-shaving balance in the scenario where the wind and solar output is large and the maximum load day of the i-th month is in a normal water year. First, we considered the scenario without the participation of energy storage equipment, calculated the system's maximum peak-shaving demand gap and the daily power abandonment on the maximum load day, and preliminarily evaluated the energy storage scale required by the system. Subsequently, we calculated the peak-shaving balance in the scenario with the participation of energy storage equipment. If there is still a peak-shaving demand gap on that day, we will increase the capacity of the energy storage equipment and calculate the peak-shaving balance again. If the peak-shaving balance can be achieved on that day, the calculation ends.

[0062] Based on the analysis results of each power balance scenario, we can calculate the total amount of wind and solar energy that can be used by the system at time m on the maximum load day of the ith month in each scenario. The specific calculation method is shown in formula (4). Since the electrochemical energy storage device can usually only absorb renewable energy for 2 hours when it is running at its maximum power, it will mainly charge within 2 to 4 hours of the day when the power surplus is the most serious to absorb excess renewable energy power. In order to reduce the power demand gap during system peak load regulation, the electrochemical energy storage device will release the stored power during the peak power consumption period of the day.

[0063] P Tim =P Lim -P him -P cim-P sim (4)

[0064] Among them, P Tim is the available wind and solar energy capacity of the system at time m on the maximum load day of the i-th month, P Lim , P him , P cim , P sim It is the difference between the system's maximum load, hydropower output, thermal power output and energy storage output at time m. m represents a certain time of the day and the value range is from 1 to 24 hours.

[0065] Using formula (5), the peak load gap P at time m on the maximum load day of the i-th month can be calculated: Rim .

[0066] P Rim =P Pim -P Tim (5)

[0067] Among them, P Pim represents the sum of wind power and solar power generation output at time m, P Rim is the peak-shaving gap at time m on the maximum load day of the i-th month. If there is a peak-shaving gap on that day, find the maximum value of the peak-shaving gap from 1 to 24 hours on that day. That is, the maximum peak-shaving gap on that day is expressed as,

[0068] P maxRi =max(P Ri1 ,P Ri2 ......P Ri24 )(6)

[0069] Among them, P maxRi The above method is also applicable to the calculation of monthly peak-shaving balance.

[0070] Example 2, reference Figure 2 , which is an embodiment of the present invention, provides a system for configuring an electrochemical energy storage method when a new energy source is connected to a power grid for peak load regulation, characterized in that it includes a data acquisition module 100, a data processing module 200, a peak load balance calculation module 300 and an energy storage configuration optimization module 400.

[0071] The data acquisition module 100 is responsible for obtaining the load per unit value curve of a typical month, selecting and collecting the wind and solar power generation output curves, including 8760 hours of output data.

[0072] The data processing module 200 processes the load data of a typical month and generates a load per unit curve.

[0073] The peak load balance calculation module 300 calculates the system maximum peak load demand gap and the daily power abandonment on the maximum load day.

[0074] The energy storage configuration optimization module 400 dynamically adjusts the capacity of the energy storage equipment according to the peak load demand gap.

[0075] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc., which can store program code.

[0076] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0077] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0078] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0079] 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 preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for configuring electrochemical energy storage when new energy is connected to the power grid for peak load regulation, characterized in that: include: Select the typical month of peak load regulation in the research level year; Obtain the load per unit value curve for a typical month; Select the wind and solar power output curve; Calculate the province's comprehensive minimum technical output rate of thermal power; Specify the thermal power generation capacity on the maximum load day of a typical month; Calculate the peak load balance based on the thermal power generation capacity.

2. The electrochemical energy storage configuration method for peak load regulation of a new energy grid access as claimed in claim 1, characterized in that: The typical month is month i; The load per unit value curve of the typical month is expressed as: K i =A i B i C i Among them, K i is the per unit curve of the typical week of the ith month after considering the annual and daily load characteristics, C i is the unit value of the typical daily load curve in the ith month, C i =[x1,x2,x3,x4..........x 24 ], where x1, x2, x3…x 24 For loads of 1 to 24 hours, B i is the per unit value of the typical weekly load curve in month i, B i =[y1,y2,y3,y4,y5,y6,y7] T , where y1, y2, y3, ..., y7 are the maximum loads from Monday to Sunday in a typical week.

3. The electrochemical energy storage configuration method for peak load regulation of a new energy grid access as claimed in claim 2, characterized in that: The selection of wind and solar power generation output curves includes collecting the 8760h output curves of wind power and photovoltaic power stations in various regions of the province that have been put into operation, and superimposing the 8760h output curves of wind power and photovoltaic power generation in various regions respectively; Taking the total installed capacity of wind power and photovoltaic power as the benchmark values, the typical wind and photovoltaic power generation output curves of each region after 8760h normalization were obtained; Combined with the wind power and photovoltaic power generation installed capacity in each region planned for each horizontal year, the standardized wind and solar power generation output curve of the provincial planned horizontal year is obtained, and the wind and solar small power generation curve and wind and solar large power generation curve of the i-th month are selected.

4. The electrochemical energy storage configuration method for peak load regulation of a new energy source connected to a power grid as claimed in claim 3, characterized in that: The province's comprehensive minimum technical output rate of thermal power is expressed as: Among them, P i is the rated power of the i-th unit, γ i is the minimum technical output rate of the i-th unit, P 综 The minimum technical output of thermal power in the province, 综 is the province’s comprehensive minimum technical output rate of thermal power, and n is the number of thermal power plant units in the province.

5. The electrochemical energy storage configuration method for peak load regulation of a new energy source connected to a power grid as claimed in claim 4, characterized in that: The thermal power generation capacity on the maximum load day of a typical month is determined by setting a horizontal year and assuming that there is no power abandonment throughout the day under the wind and solar output scenario, and determining the thermal power generation capacity.

6. The electrochemical energy storage configuration method for peak load regulation of a new energy source connected to a power grid as claimed in claim 5, characterized in that: The calculation of the peak load balance includes calculating the maximum peak load demand gap of the system and the daily power abandonment on the maximum load day based on a scenario without the participation of energy storage equipment, and preliminarily evaluating the energy storage scale required by the system; Calculate the peak load balance in the scenario where energy storage equipment is involved. If there is still a peak load demand gap on that day, increase the capacity of the energy storage equipment and calculate the peak load balance again; If the peak load balance can be achieved on that day, the calculation ends; According to the analysis results of each power balance scenario, the total amount of wind energy and solar energy that can be used by the system at time m on the maximum load day of the i-th month in each scenario is calculated as follows: P Tim =P Lim -P him -P cim -P sim Among them, P Tim is the available wind and solar energy capacity of the system at time m on the maximum load day of the i-th month, P Lim , P him , P cim , P sim It is the difference between the system's maximum load, hydropower output, thermal power output and energy storage output at time m. m represents a certain time of the day and the value range is from 1 to 24 hours.

7. The electrochemical energy storage configuration method for peak load regulation of a new energy source connected to a power grid as claimed in claim 6, characterized in that: The calculation of the peak load balance also includes calculating the peak load gap P at time m on the maximum load day of the i-th month. Rim , expressed as, P Rim =P Pim -P Tim Among them, P Pim represents the sum of wind power and solar power generation output at time m, P Rim is the peak-shaving gap at time m on the maximum load day of the i-th month. If there is a peak-shaving gap on that day, find the maximum value of the peak-shaving gap from 1 to 24 hours on that day. That is, the maximum peak-shaving gap on that day is expressed as, P maxRi =max(P Ri1 ,P Ri2 ......P Ri24 ) Among them, P maxRi It is the largest peak-shaving gap.

8. A system using the electrochemical energy storage configuration method for peak load regulation of a new energy access to a power grid as claimed in any one of claims 1 to 7, characterized in that: It comprises a data acquisition module (100), a data processing module (200), a peak load balance calculation module (300) and an energy storage configuration optimization module (400); The data acquisition module (100) is responsible for obtaining a typical monthly load per unit value curve, selecting and collecting a wind and solar power generation output curve, including 8760 hours of output data; The data processing module (200) processes the load data of a typical month to generate a load per unit curve; The peak load balance calculation module (300) calculates the system maximum peak load demand gap and daily power abandonment on the maximum load day; The energy storage configuration optimization module (400) dynamically adjusts the capacity of the energy storage device according to the peak load demand gap.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for configuring electrochemical energy storage when a new energy source is connected to a power grid for peak load regulation as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for configuring electrochemical energy storage when a new energy source is connected to a power grid for peak load regulation as described in any one of claims 1 to 7 are implemented.

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