Electrochemical energy storage power multi-boundary configuration method, device and equipment and storage medium

Abstract

The invention discloses an electrochemical energy storage power multi-boundary configuration method, device and equipment and a storage medium, and the method comprises the steps: obtaining the historical data of solar energy, wind energy and load level in a region; the historical data is preprocessed; according to the preprocessed historical data, regional energy storage power requirements are calculated through power grid bearing capacity and a business mode; calculating a total energy storage power range according to the regional energy storage power and hierarchical requirements; wherein the power grid bearing capacity comprises regional capacity-load ratio, transformer substation N-1 verification and heavy load measurement and calculation; the business mode comprises shared energy storage, peak-valley arbitrage and auxiliary service; obtaining an optimal power value according to the total energy storage power range and the business mode; by reasonably configuring the energy storage system, the requirements of newly-built power plants and power transmission lines can be reduced, so that the infrastructure investment of power grid expansion is reduced.

Description

Technical Field

[0001] The present invention relates to the field of power grid energy storage planning, and in particular to a method, device, equipment and storage medium for configuring electrochemical energy storage power multiple boundaries. Background Art

[0002] With the development of energy storage technology, a large number of energy storage power stations have begun to be built in distribution networks. The energy storage system can store excess electricity and release it during peak hours. Due to the large-scale access of energy storage, the distribution network faces problems such as voltage over-limit caused by the access of energy storage, and its carrying capacity is severely challenged. The existing energy storage power configuration method is: calculate the maximum value of load power restriction; screen the blocked time period and blocked power of new energy; calculate the blocked power that meets the requirements of new energy consumption; according to the maximum blocked power of new energy, select the power according to a certain step size to obtain a power sequence; for each value in the power sequence, calculate the cumulative power that is greater than or equal to the power; select the power corresponding to the time when the cumulative power is equal to the blocked power that meets the requirements of new energy consumption, and the power value is less than 1, which is the configured energy storage power initial value.

[0003] The inventors have found through research that the energy storage power configuration method in the prior art still has at least the following defects:

[0004] Energy storage lacks dynamic adaptability. Excessive storage power leads to waste of resources, while too little power cannot meet system requirements.

[0005] The information disclosed in this background technology section is only intended to enhance the understanding of the overall background of the invention and should not be regarded as an acknowledgment or any form of suggestion that the information constitutes the prior art already known to a person skilled in the art. Summary of the invention

[0006] The purpose of the present invention is to calculate the optimal energy storage power according to different levels of demand and achieve dynamic adaptation of energy storage.

[0007] The present invention provides a method for configuring electrochemical energy storage power multiple boundaries, comprising the steps of:

[0008] S11, obtaining historical data of solar energy, wind energy and load levels in the region; and preprocessing the historical data;

[0009] S12. Calculate the regional energy storage power demand based on the pre-processed historical data through the grid carrying capacity and business model; and calculate the overall energy storage power range based on the regional energy storage power and level requirements;

[0010] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and heavy load calculation;

[0011] The business models include: shared energy storage, peak-valley arbitrage and ancillary services;

[0012] S13. Obtaining an optimal power value according to the overall energy storage power range and the business model.

[0013] Preferably, in the embodiment of the present invention, the regional capacity-load ratio includes the following formula:

[0014] k=S total / (P ZL，max -P G -P st )

[0015] In the formula, k is the regional capacity ratio; S total is the value of the main transformer capacity of the same voltage level in the region; P ZL，max is the load value of the same voltage level; P G is the power plant output value in the region; P st is the energy storage power value.

[0016] Preferably, in the embodiment of the present invention, the substation N-1 verification includes:

[0017] When the energy storage is charged in the valley section, the energy storage power demand of the substation is calculated by the following formula:

[0018] (G-1)×S*80%≥P GLmax +P st

[0019] In the formula, G is the number of main transformers; S is the capacity of a single main transformer; P GLmax P is the maximum load of the substation during the valley period; st is the energy storage power value;

[0020] When the energy storage is discharged during the peak period, the energy storage power demand of the substation is calculated by the following formula:

[0021] (G-1)×S*80%≥PF Lmax +P G -P st

[0022] In the formula, G is the number of main transformers; s is the capacity of a single main transformer; P FLmax is the maximum load of the substation during peak hours; P G is the photovoltaic load consumption; P st is the energy storage power value.

[0023] Preferably, in an embodiment of the present invention, the overload calculation includes:

[0024] During the energy storage charging process, when the capacity of a single main transformer is less than 80%, calculate the energy storage power value that can be increased.

[0025] Preferably, in an embodiment of the present invention, the shared energy storage power is greater than or equal to a preset value.

[0026] Preferably, in the embodiment of the present invention, the auxiliary service includes:

[0027] Determine the minimum declared power unit based on peak load demand;

[0028] Both the basic annual load control capacity and the predicted annual load control capacity meet the preset requirements.

[0029] Preferably, in an embodiment of the present invention, the historical data is preprocessed, including: missing value processing, outlier detection processing and data consistency checking.

[0030] In another aspect of the present invention, there is also provided an electrochemical energy storage power multi-boundary configuration device, comprising:

[0031] A historical data acquisition and processing unit, used to acquire historical data of solar energy, wind energy and load levels in a region; and pre-process the historical data;

[0032] An energy storage power range calculation unit is used to calculate the regional energy storage power demand through the grid carrying capacity and business model according to the pre-processed historical data; and calculate the overall energy storage power range according to the regional energy storage power and hierarchical requirements;

[0033] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and heavy load calculation;

[0034] The business models include: shared energy storage, peak-valley arbitrage and ancillary services;

[0035] The optimal power value calculation unit is used to obtain the optimal power value according to the overall energy storage power range and the business model.

[0036] On the other hand, an electrochemical energy storage power multi-boundary configuration device is provided; the electrochemical energy storage power multi-boundary configuration device includes a computer program stored on a medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer executes the methods described in the above aspects and achieves the same technical effects.

[0037] On the other hand, a storage medium is provided on which a computer program is stored. When the computer program is executed by a processor, each step of the electrochemical energy storage power multi-boundary configuration method as described above is implemented.

[0038] Compared with the prior art, the present invention has the following beneficial effects:

[0039] In the present invention, the grid carrying capacity and business model are used as boundary conditions for energy storage planning. By reasonably calculating the energy storage power, power generation resources can be used more effectively, wind and solar power abandonment can be reduced, and the allocation of power resources in time and space can be optimized. By reasonably configuring the energy storage system, the demand for new power plants and transmission lines can be reduced, thereby reducing infrastructure investment for grid expansion.

[0040] Furthermore, the energy storage power in the present invention is selected by taking into account the practical energy storage technology route and the profit-maximizing business model. By comprehensively considering these factors, an energy storage power that is both in line with technological development and can achieve profit maximization can be determined.

[0041] In addition, the present invention takes into account various actual situations, such as substation conditions and existing policy support, when performing energy storage planning, so that the energy storage planning results obtained are more practical.

[0042] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, and to make the above and other purposes, technical features and advantages of the present invention easier to understand, one or more preferred embodiments are listed below and described in detail with the accompanying drawings as follows. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solution of the present invention, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 It is a step diagram of the electrochemical energy storage power multi-boundary configuration method described in the present invention;

[0045] Figure 2 It is a flow chart of the electrochemical energy storage power multi-boundary configuration method described in the present invention;

[0046] Figure 3 It is a structural schematic diagram of the electrochemical energy storage power multi-boundary configuration device of the present invention;

[0047] Figure 4 It is a schematic diagram of the structure of the electrochemical energy storage power multi-boundary configuration device described in the present invention. DETAILED DESCRIPTION

[0048] The specific implementation modes of the present invention are described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific implementation modes.

[0049] Unless explicitly stated otherwise, throughout the specification and claims, the term “comprise” or variations such as “include” or “comprising”, etc., will be understood to include the stated elements or components but not to exclude other elements or components.

[0050] In this document, the terms "first", "second", etc. are used to distinguish two different elements or parts, and are not used to limit a specific position or relative relationship. In other words, in some embodiments, the terms "first", "second", etc. can also be interchangeable.

[0051] Embodiment 1

[0052] In order to calculate the optimal energy storage power according to different levels of demand and realize dynamic adaptation of energy storage, such as Figure 1 and Figure 2 As shown, in an embodiment of the present invention, a method for configuring electrochemical energy storage power multiple boundaries is provided, comprising the steps of:

[0053] S11, obtaining historical data of solar energy, wind energy and load levels in the region; and preprocessing the historical data;

[0054] The inventive ideas of the present invention include: determining the energy storage power range based on the carrying capacity of the power grid and the business model, and obtaining the optimal energy storage power value according to the energy storage power range, feasible energy storage technology routes and business models, and taking the peak and valley electricity price policy as the main and auxiliary service income as the auxiliary; this can avoid the waste of resources and high costs caused by unreasonable planning, improve the overall performance of the energy storage system, and is conducive to maintaining the power balance of the industrial park.

[0055] In an embodiment of the present invention, it is necessary to collect data on solar energy, wind energy and load levels from different sources. These historical data may include time series data, geographic location information, energy production, etc. These historical data are integrated into a unified data framework to ensure the consistency of data format and time series.

[0056] In order to ensure the accuracy and availability of data, in an embodiment of the present invention, the historical data is preprocessed, including: missing value processing, outlier detection processing and data consistency check.

[0057] Missing value processing: Check the missing values ​​in the data set. For time series data, you can use the data from the previous day or the next day to fill in the missing values, or you can use the time series prediction model to estimate the missing values. For non-time series data, you need to decide whether to delete or fill in the missing values ​​based on the specific situation.

[0058] Outlier detection and processing: Use statistical methods to identify outliers in the data. Outliers can be deleted or replaced. The replacement value can be the average value or other statistics of adjacent time points.

[0059] Data consistency checks: Ensure that data is logically consistent, for example, checking that load levels match historical data and expected patterns.

[0060] S12. Calculate the regional energy storage power demand based on the pre-processed historical data through the grid carrying capacity and business model; and calculate the overall energy storage power range based on the regional energy storage power and level requirements;

[0061] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and overload calculation; the business model includes: shared energy storage, peak-valley arbitrage and ancillary services;

[0062] In the embodiment of the present invention, according to the grid carrying capacity and the business model calculation, the overall energy storage power applicable range is comprehensively calculated according to the needs of different levels to verify the rationality of energy storage.

[0063] The grid carrying capacity mainly includes three aspects: regional capacity-load ratio, substation N-1 and heavy load calculation; the business model mainly includes three aspects: shared energy storage, peak-valley arbitrage and auxiliary services; among them,

[0064] The load-to-capacity ratio is an important parameter in the design of a power system. It is usually used to describe the proportional relationship between power generation capacity and power load. The accuracy of the grid load forecast directly affects the reasonable determination of the load-to-capacity ratio. If the load forecast is too high, the load-to-capacity ratio may be set too high, resulting in a waste of investment in grid construction. On the contrary, if the load forecast is too low, the load-to-capacity ratio may be insufficient, affecting the power supply reliability of the grid. Therefore, in the planning and operation of the grid, it is necessary to combine historical load data, economic growth trends and other factors, and use statistical methods to forecast the load in order to determine the appropriate load-to-capacity ratio and ensure the economic benefits and power supply reliability of the grid.

[0065] Combined with the load growth trend and technical principles and specifications, the appropriate capacity-load ratio is selected. The configuration of energy storage can reduce the load level of the substation by shaving the peak and filling the valley, improve the capacity-load ratio of the power grid, and delay the expansion and upgrading of power grid equipment without considering the increase in power grid construction costs. Part of the load is absorbed by energy storage. The energy storage power is calculated according to the power grid capacity-load ratio requirements and power shortage, and the regional capacity-load ratio is calculated, including the following formula:

[0066] k=S total / (P ZL，max -P G -P st )

[0067] In the formula, k is the regional capacity ratio; S total is the value of the main transformer capacity of the same voltage level in the region; P ZL，max is the load value of the same voltage level; P G is the power plant output value in the region; P st is the energy storage power value.

[0068] It should be noted that the power shortage in the embodiment of the present invention refers to the situation in which the active power demand (i.e., load) at a certain moment in the power system exceeds the power supply capacity of the system (i.e., the output power of the generator set), resulting in an imbalance between power supply and demand; the power plant output value refers to the power generated by the power plant at a certain moment, and the output of the power plant is affected by many factors such as installed capacity, operating efficiency, status of power generation equipment and grid load demand.

[0069] In the actual application of energy storage, it is also necessary to consider satisfying the N-1 verification of the substation during the energy storage charging and discharging process. The N-1 verification of the substation is a safety verification method used to evaluate the reliability and stability of the power system in the event of a single fault. "N" represents the total number of components in the system (such as transformers, lines, power plants, etc.), and "1" means that one component in the system fails or is out of operation. The purpose of the N-1 verification is to ensure that in the most unfavorable single fault situation, the power system can still operate safely and stably and meet power supply needs.

[0070] (1) Considering that energy storage acts as a load during valley charging, and not considering the inter-station transfer of low-voltage line load, the substation N-1 demand needs to be met. In the actual energy storage application process, it is necessary to analyze that a single main transformer is not overloaded (less than 80%) during energy storage charging. The energy storage power demand of the substation is calculated using the following formula:

[0071] (G-1)×S*80%≥P GLmax +P st

[0072] In the formula, G is the number of main transformers; s is the capacity of a single main transformer; P GLmax P is the maximum load of the substation during the valley period; st is the energy storage power value;

[0073] (2) Considering that energy storage is used as a power source during peak discharge, and not considering the inter-station transfer of low-voltage line load, in order to meet the N-1 demand of substation, energy storage is required to reduce the substation load. The energy storage power demand of the substation is calculated by the following formula:

[0074] (G-1)×S*80%≥P FLmax +P G -P st

[0075] In the formula, G is the number of main transformers; s is the capacity of a single main transformer; P FLmax is the maximum load of the substation during peak hours; P G is the photovoltaic load consumption; P st is the energy storage power value.

[0076] In the actual energy storage application process, it is necessary to analyze the energy storage charging process when a single main transformer is not overloaded, that is, when the capacity of a single main transformer is less than 80%, and calculate the energy storage power value that can be increased.

[0077] In an embodiment of the present invention, the shared energy storage power is greater than or equal to a preset value. In a specific application scenario, the energy storage configuration ratio may be no less than 10% in combination with the document requirements. If the actual installable photovoltaic power is g MW, the newly added energy storage power is at least g*10% MW.

[0078] Furthermore, in an embodiment of the present invention, peak-valley arbitrage is to combine the peak-valley electricity price time periods and the typical daily load curves of different seasons, according to the principle of charging in valley and flat time periods and discharging in peak periods, considering the maximum benefit of charging and discharging and calculating the energy storage power.

[0079] In the embodiment of the present invention, the auxiliary service includes: according to the policy document, the provincial grid (control area) with insufficient peak load resources reports the peak load demand power curve at 9:00 and 6:00 throughout the day to determine the minimum reported power unit as P min MW; According to the document "Notice of the General Office of the National Development and Reform Commission and the General Office of the National Energy Administration on Promoting the Construction of a New Electricity Load Management System", the basic annual load control capacity is determined to reach 5% of the maximum load in the region, and the predicted annual load control capacity is expected to reach more than 20% of the maximum load in the region.

[0080] S13. Obtaining an optimal power value according to the overall energy storage power range and the business model.

[0081] In the embodiment of the present invention, the energy storage power value that maximizes the benefits is determined by making an optimal selection based on the overall energy storage power range and in accordance with a business model that maximizes the benefits.

[0082] In specific applications, when each substation is connected to energy storage, first, consider whether there is a spare interval on the low-voltage side of the substation that can be connected; second, the energy storage charging process does not cause transformer overload, and meets the substation N-1 transfer capacity in the event of a main transformer failure; third, it meets the demand for energy storage power in the regional measurement of the business model to be adopted. By calculating the initial value of energy storage in different ways, according to the optimal situation of grid carrying capacity after the grid is connected to energy storage and meets multiple business models, the initial value of the connected energy storage power is P min ~P max MW, as shown in Table 1 below:

[0083] Table 1

[0084]

[0085] According to the current business model, the best choice for peak-valley arbitrage is that the larger the energy storage power is, the more electricity it absorbs during the valley period, and the more obvious the commercial advantage is. According to the initial value of the energy storage power range, the maximum power P is selected. max MW.

[0086] The following is a method for calculating the optimal energy storage power using a specific example.

[0087] First, calculate the energy storage power according to the grid carrying capacity:

[0088] (1) Calculation of regional capacity ratio:

[0089] In 2022, the 110kV capacity in a certain area of ​​Tianjin Binhai New Area will be 600MVA, the 110kV grid supply will be 382.16MW, the 110kV load-to-capacity ratio will be 1.57, and the 35kV load-to-capacity ratio will be 2.3. The current 110kV load-to-capacity ratio does not meet the requirements of the planning technical guidelines. The average annual load growth rate in a certain area of ​​Tianjin Binhai New Area in the development zone is less than 4%. Combined with the load growth trend in a certain area of ​​Tianjin Binhai New Area, it is appropriate for the 110kV load-to-capacity ratio to be 1.6-1.8.

[0090] In order to meet the 110kV capacity-load ratio requirements, the load on substations in the area is reduced by energy storage to smooth out the peaks and fill the valleys, thereby increasing the capacity-load ratio of the power grid. The energy storage power access range in 2022 is 11.46-87.89MW, and the energy storage power access range in 2025 is 103.18-191.08MW. For details, see the 110kV capacity-load ratio energy storage power calculation in Table 2 below.

[0091] Table 2

[0092] category 2022 2025 (taking photovoltaic output into account) 110kV grid supply load 382.16 439.49 Current 110kV substation capacity 600 600 Energy storage requirements (load capacity ratio 1.6) 11.46 103.18 Energy storage requirements (load capacity ratio 1.8) 87.89 191.08

[0093] The upper power supply of 35kV substation in a certain area of ​​Tianjin Binhai New Area of ​​TEDA comes from 110kV substation and 220kV substation respectively. Since the 110kV capacity already includes part of the 35kV substation capacity, the following is the demand for part of the capacity of 35kV substation directly supplied by 220kV substation. The capacity of 35kV substation directly supplied by 220kV is calculated based on the capacity-load ratio. It can increase by 0-17.1MW in 2025, as shown in Table 3:

[0094] Table 3

[0095] category 2022 2025 (taking photovoltaic output into account) 220kV direct supply 35kV variable load 172.5 187.29 Current 220kV direct supply 35kV substation capacity 320 320 Energy storage power (capacity-load ratio 1.6) -44 -20.3 Energy storage power (capacity-load ratio 1.8) -9.5 17.1

[0096] Based on the capacity-load ratio calculation, superimposed on the 35kV and 110kV demands, the energy storage power access range in a certain area of ​​Tianjin Binhai New Area will be 11.46~87.89MW in 2022, and 103.18~208.18MW in 2025.

[0097] (2) Substation N-1 calculation:

[0098] The initial value of substation N-1 in 2022 is calculated. In order to avoid the situation where the upper power source of the 35kV substation is 110kV, the upper power source of the main transformer should not be counted twice. According to the above conditions, 35kV Financial West 1T, 2T; Taihua Road 1T, 3T; Muning Road 1T, 2T, 3T; College District 1T, 2T, 3T; Taikang Road 1T, 2T in a certain area of ​​TEDA Tianjin Binhai New Area meet the energy storage access conditions.

[0099] By calculating the maximum load of the substation during the peak period in the current year, taking into account the extreme situation where the photovoltaic power generation fails to produce power normally (the photovoltaic power generation coefficient is considered to be 0.8), and not considering the inter-station transfer of the low-voltage line, the substation stops one main transformer to meet the need to increase the energy storage power value under the N-1 mode of the main transformer of the substation.

[0100] In order to meet the substation N-1 requirement during the peak period, it is necessary to reduce the substation load through energy storage, and the initial value of the energy storage power can be increased to 88.95MW, as shown in Table 4:

[0101] Table 4

[0102]

[0103]

[0104] By calculating the maximum load of the substation during the off-peak period in the current year and superimposing the existing energy storage charging power, considering that after the substation stops one main transformer, the substation main transformer N-1 mode is met, and the low-voltage side line station transfer is not considered, the energy storage power value needs to be increased.

[0105] When the off-peak energy storage charging period meets the substation N-1, the energy storage can increase the power by 133.49MW, as shown in Table 5:

[0106] Table 5

[0107]

[0108] Based on the calculation requirements at the substation N-1 level and considering the characteristics of energy storage charging and discharging, the current annual energy storage access power range is 88.95 to 133.49 MW.

[0109] (3) Initial calculation value of substation N-1 in 2025

[0110] Based on the regional load growth level (3.2%) required in a report on a certain area of ​​Tianjin Binhai New Area, the load growth level of each station was calculated. Combined with the project of increasing the capacity of the third transformer at the Financial West 35kV station, and considering the unchanged peak-to-valley difference of each station, the initial value of the energy storage power increase was calculated when the substation meets N-1 in 2025.

[0111] In order to meet the substation N-1 requirement during the peak period, it is necessary to reduce the substation load through energy storage, and the initial value of the energy storage power can be increased to 129.39MW, as shown in Table 6:

[0112] Table 6

[0113]

[0114]

[0115] When the off-peak energy storage charging period meets the substation N-1, the energy storage can increase the power by 134.18MW, as shown in Table 7:

[0116] Table 7

[0117]

[0118] (4) Calculation of substation overload conditions

[0119] In the actual application of energy storage, it is also necessary to analyze and consider that the substation is not overloaded during the energy storage charging process (load rate is considered to be 80%).

[0120] Assuming that the substation is not overloaded when the energy storage is charged, each substation can add 200.99MW of energy storage power during off-peak hours, as shown in Table 8:

[0121] Table 8

[0122]

[0123]

[0124] Then calculate the energy storage power based on the business model:

[0125] (1) Shared capacity calculation

[0126] The available photovoltaic roof area in a certain area of ​​Tianjin Binhai New Area exceeds 3 million square meters, with a planned installable capacity of 300MW. Through actual investigation of roof load capacity, the demand for photovoltaic capacity that meets the implementation conditions is about 150MW (including the current installed level). According to the configuration ratio of no less than 10% (refer to the storage ratio of photovoltaic configuration in various parts of the country), the new energy storage power needs to be at least 15MW.

[0127] (2) Calculation of photovoltaic storage demand

[0128] The calculation of photovoltaic storage demand is shown in Table 9:

[0129] Table 9

[0130] category Numeric Planned final photovoltaic capacity (MW) 150 Not less than 10% storage ratio (MW) ≥15

[0131] (3) Peak-to-valley arbitrage calculation

[0132] According to the domestic and foreign business models and applications mentioned above, the peak-valley arbitrage model is currently the most mature, widely used and mature energy storage business model. According to data from the Zhongguancun Energy Storage Industry Technology Alliance (CNESA), under the condition of a certain unit investment, the larger the peak-valley price difference, the positive growth trend of industrial and commercial energy storage yield, and the energy storage project payback period shows a downward trend. From this aspect, as energy storage technology becomes more and more mature, the system cost is getting lower and lower. As the energy storage power increases, the peak-valley price difference increases, and the peak-valley arbitrage profit for energy storage is greater.

[0133] (4) Calculation of auxiliary services

[0134] According to the "North China Power Peak Shaving Auxiliary Service Market Operation Rules", provincial grids (control areas) with insufficient peak-shaving resources shall declare peak-shaving demand power curves at 9 and 6 o'clock throughout the day based on peak-shaving demand, and the minimum declared power unit is 50MW.

[0135] According to calculations for ancillary services in North China, the minimum energy storage power requirement is 50MW.

[0136] According to the "Notice of the General Office of the National Development and Reform Commission and the General Office of the National Energy Administration on Promoting the Construction of a New Electricity Load Management System", the load control capacity will reach 5% of the maximum load in the region in 2022, and the system load control capacity will reach more than 20% of the maximum load in the region in 2025.

[0137] The maximum load calculation in 2022 requires a storage capacity of more than 28.7MW, and the maximum load calculation in 2025 requires a storage capacity of more than 146.5MW, as shown in Table 10:

[0138] Table 10

[0139]

[0140] On the whole, if auxiliary services are taken into account, the minimum storage power value required to meet both policies is 50MW.

[0141] (5) Calculation results: The initial value of energy storage in a certain area of ​​Tianjin Binhai New Area is calculated by different methods. After the grid is connected to energy storage, the most stringent boundary condition calculation requires the upper limit of energy storage power to be 133.49MW when the grid carrying capacity is optimal. In terms of satisfying multiple business models, the lower limit of energy storage power is at least 50MW. Therefore, the initial value of energy storage power that can be connected to a certain area of ​​Tianjin Binhai New Area is 50 to 133.49MW, as shown in Table 11:

[0142] Table 11

[0143]

[0144] According to the optimal choice for peak-valley arbitrage under the current business model, the larger the energy storage power, the more electricity can be absorbed during the valley period, and the commercial advantage is the most obvious. Therefore, based on the initial value of the energy storage power range, the maximum power of 133.49MW is selected.

[0145] In summary, the embodiments of the present invention take the grid carrying capacity and business model as the boundary conditions for energy storage planning. By reasonably calculating the energy storage power, it is possible to more effectively utilize power generation resources, reduce wind and solar power abandonment, and optimize the configuration of power resources in time and space. By reasonably configuring the energy storage system, it is possible to reduce the demand for new power plants and transmission lines, thereby reducing the infrastructure investment for grid expansion.

[0146] Furthermore, the energy storage power in the present invention is selected by taking into account the practical energy storage technology route and the profit-maximizing business model. By comprehensively considering these factors, an energy storage power that is both in line with technological development and can achieve profit maximization can be determined.

[0147] In addition, the present invention takes into account various actual situations, such as substation conditions and existing policy support, when performing energy storage planning, so that the energy storage planning results obtained are more practical.

[0148] Embodiment 2

[0149] Corresponding to the method embodiment, another aspect of the embodiment of the present invention further provides an electrochemical energy storage power multi-boundary configuration device, Figure 3 The schematic diagram of the structure of the electrochemical energy storage power multi-boundary configuration device provided by the embodiment of the present invention is shown. The electrochemical energy storage power multi-boundary configuration device is Figure 1 The device corresponding to the electrochemical energy storage power multi-boundary configuration method described in the corresponding embodiment, that is, implemented by means of a virtual device Figure 1In the corresponding embodiment of the electrochemical energy storage power multi-boundary configuration method, each virtual module constituting the electrochemical energy storage power multi-boundary configuration device can be executed by an electronic device, such as a network device, a terminal device or a server. Specifically, the electrochemical energy storage power multi-boundary configuration device in the embodiment of the present invention includes:

[0150] The historical data acquisition and processing unit 01 is used to acquire the historical data of solar energy, wind energy and load level in the region; and pre-process the historical data;

[0151] In order to ensure the accuracy and availability of data, in an embodiment of the present invention, the historical data is preprocessed, including: missing value processing, outlier detection processing and data consistency check.

[0152] Missing value processing: Check the missing values ​​in the data set. For time series data, you can use the data from the previous day or the next day to fill in the missing values, or use the time series prediction model to estimate the missing values. For non-time series data, you need to decide whether to delete or fill in the missing values ​​based on the specific situation.

[0153] Outlier detection and processing: Use statistical methods to identify outliers in the data. These outliers can be deleted or replaced. The replacement value can be the average value or other statistics of the adjacent time points.

[0154] Data consistency checks: Ensure that data is logically consistent, for example, checking that load levels match historical data and expected patterns.

[0155] The energy storage power range calculation unit 02 is used to calculate the regional energy storage power demand according to the pre-processed historical data through the grid carrying capacity and the business model; and calculate the overall energy storage power range according to the regional energy storage power and the level demand;

[0156] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and heavy load calculation;

[0157] The business models include: shared energy storage, peak-valley arbitrage and ancillary services;

[0158] In the embodiment of the present invention, according to the carrying capacity of the power grid and the business model, the applicable range of the overall energy storage power is comprehensively calculated according to the needs of different levels to verify the rationality of the energy storage.

[0159] Calculate the regional capacity ratio, including the following formula:

[0160] k=S total / (P ZL，max -P G -P st )

[0161] In the formula, k is the regional capacity ratio; S total is the value of the main transformer capacity of the same voltage level in the region; P ZL，max is the load value of the same voltage level; P G is the power plant output value in the region; P st is the energy storage power value.

[0162] (1) Considering that energy storage acts as a load during valley charging, and not considering the inter-station transfer of low-voltage line load, the substation N-1 demand needs to be met. In the actual energy storage application process, it is necessary to analyze that a single main transformer is not overloaded (less than 80%) during energy storage charging. The energy storage power demand of the substation is calculated using the following formula:

[0163] (G-1)×S*80%≥P GLmax +P st

[0164] In the formula, G is the number of main transformers; S is the capacity of a single main transformer; P GLmax P is the maximum load of the substation during the valley period; st is the energy storage power value;

[0165] (2) Considering that energy storage is used as a power source during peak discharge, and not considering the inter-station transfer of low-voltage line load, in order to meet the N-1 demand of substation, energy storage is required to reduce the substation load. The energy storage power demand of the substation is calculated by the following formula:

[0166] (G-1)×S*80%≥PF Lmax +P G -P st

[0167] In the formula, G is the number of main transformers; S is the capacity of a single main transformer; P FLmax is the maximum load of the substation during peak hours; P G is the photovoltaic load consumption; P st is the energy storage power value.

[0168] In the actual energy storage application process, it is necessary to analyze the energy storage charging process when a single main transformer is not overloaded, that is, when the capacity of a single main transformer is less than 80%, and calculate the energy storage power value that can be increased.

[0169] In an embodiment of the present invention, the shared energy storage power is greater than or equal to a preset value; in a specific application scenario, the energy storage configuration ratio can be no less than 10% in combination with the document requirements. If the actual installable photovoltaic power is g MW, the newly added energy storage power is at least g*10% MW.

[0170] Furthermore, in an embodiment of the present invention, peak-valley arbitrage is to combine the peak-valley electricity price time periods and the typical daily load curves of different seasons, according to the principle of charging in valley and flat time periods and discharging in peak periods, considering the maximum benefit of charging and discharging and calculating the energy storage power.

[0171] In the embodiment of the present invention, the auxiliary service includes: according to the policy document, the provincial grid (control area) with insufficient peak load resources reports the peak load demand power curve at 9:00 and 6:00 throughout the day to determine the minimum reported power unit as P min MW; According to the document "Notice of the General Office of the National Development and Reform Commission and the General Office of the National Energy Administration on Promoting the Construction of a New Electricity Load Management System", the basic annual load control capacity is determined to reach 5% of the maximum load in the region, and the predicted annual load control capacity is expected to reach more than 20% of the maximum load in the region.

[0172] The optimal power value calculation unit 03 is used to obtain the optimal power value according to the overall energy storage power range and the business model.

[0173] In the embodiment of the present invention, the energy storage power value that maximizes the benefits is determined by making an optimal selection based on the overall energy storage power range and in accordance with a business model that maximizes the benefits.

[0174] In specific applications, when each substation is connected to energy storage, first, consider whether there is a spare interval on the low-voltage side of the substation that can be connected; second, the energy storage charging process does not cause transformer overload, and meets the substation N-1 transfer capacity in the event of a main transformer failure; third, it meets the demand for energy storage power in the regional measurement of the business model to be adopted. By calculating the initial value of energy storage in different ways, according to the optimal situation of grid carrying capacity after the grid is connected to energy storage and meets multiple business models, the initial value of the connected energy storage power is P min ~P max MW, as shown in Table 1 below:

[0175] Table 1

[0176]

[0177]

[0178] According to the current business model, the best choice for peak-valley arbitrage is that the larger the energy storage power is, the more electricity it absorbs during the valley period, and the more obvious the commercial advantage is. According to the initial value of the energy storage power range, the maximum power P is selected. max MW.

[0179] It should be noted that the specific implementation method and technical effect of the electrochemical energy storage power multi-boundary configuration device in the embodiment of the present invention can be referred to Figure 1 The corresponding electrochemical energy storage power multi-boundary configuration method will not be described here.

[0180] Embodiment 3

[0181] Corresponding to the method embodiment, in the embodiment of the present invention, there is also provided an electrochemical energy storage power multi-boundary configuration device, such as a terminal, a server, etc. Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN, and big data and artificial intelligence platforms. The terminal can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto.

[0182] An example of a hardware structure block diagram of an electrochemical energy storage power multi-boundary configuration device provided by an embodiment of the present invention is shown in FIG. Figure 4 As shown, this may include:

[0183] Processor 1, communication interface 2, memory 3 and communication bus 4;

[0184] The processor 1, the communication interface 2, and the memory 3 communicate with each other via the communication bus 4;

[0185] Optionally, the communication interface 2 may be an interface of a communication module, such as an interface of a GSM module;

[0186] The processor 1 may be a central processing unit CPU, or an application-specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of the present application.

[0187] The memory 3 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0188] The processor 1 is specifically used to execute the computer program stored in the memory 3 to perform the following steps:

[0189] S11, obtaining historical data of solar energy, wind energy and load levels in the region; and preprocessing the historical data;

[0190] S12. Calculate the regional energy storage power demand based on the pre-processed historical data through the grid carrying capacity and business model; and calculate the overall energy storage power range based on the regional energy storage power and level requirements;

[0191] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and overload calculation; the business model includes: shared energy storage, peak-valley arbitrage and ancillary services;

[0192] S13. Obtaining an optimal power value according to the overall energy storage power range and the business model.

[0193] The above product can execute the method provided in the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not fully described in this embodiment, please refer to the electrochemical energy storage power multi-boundary configuration method provided in the embodiment of the present invention.

[0194] Embodiment 4

[0195] In an embodiment of the present invention, a storage medium is further provided, which may store a program suitable for execution by a processor, wherein the program is used to:

[0196] S11, obtaining historical data of solar energy, wind energy and load levels in the region; and preprocessing the historical data;

[0197] S12. Calculate the regional energy storage power demand based on the pre-processed historical data through the grid carrying capacity and business model; and calculate the overall energy storage power range based on the regional energy storage power and level requirements;

[0198] The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and overload calculation; the business model includes: shared energy storage, peak-valley arbitrage and ancillary services;

[0199] S13. Obtaining an optimal power value according to the overall energy storage power range and the business model.

[0200] Optionally, the detailed functions and extended functions of the program may refer to the above description.

[0201] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the methods provided by other embodiments of the present invention.

[0202] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0203] In the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interface, device or unit, which can be electrical, mechanical or other forms.

[0204] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0205] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0206] It should be understood that in the embodiments of the present application, the various embodiments and features can be combined with each other to solve the aforementioned technical problems.

[0207] 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 application, 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, which is stored in a storage medium and includes 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 methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0208] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for configuring electrochemical energy storage power multi-boundary, characterized in that: Includes steps: S11, obtaining historical data of solar energy, wind energy and load levels in the region; and preprocessing the historical data; S12, calculating the regional energy storage power demand according to the pre-processed historical data through the grid carrying capacity and business model; And according to the regional energy storage power and level requirements, calculate the overall energy storage power range; The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and heavy load calculation; The business models include: shared energy storage, peak-valley arbitrage and ancillary services; S13. Obtaining an optimal power value according to the overall energy storage power range and the business model.

2. The electrochemical energy storage power multi-boundary configuration method according to claim 1, characterized in that: The regional capacity ratio includes the following formula: k=S total / (P ZL,max -P G -P st ) In the formula, k is the regional capacity ratio; S total is the value of the main transformer capacity of the same voltage level in the region; P ZL,max is the load value of the same voltage level; P G is the power plant output value in the region; P st is the energy storage power value.

3. The electrochemical energy storage power multi-boundary configuration method according to claim 2, characterized in that: The substation N-1 verification includes: When the energy storage is charged in the valley section, the energy storage power demand of the substation is calculated by the following formula: (G-1)×S*80%≥P GLmax +P st In the formula, G is the number of main transformers; S is the capacity of a single main transformer; P GLmax P is the maximum load of the substation during the valley period; st is the energy storage power value; When the energy storage is discharged during the peak period, the energy storage power demand of the substation is calculated by the following formula: (G-1)×S*80%≥P FLmax +P G -P st In the formula, G is the number of main transformers; S is the capacity of a single main transformer; P FLmax is the maximum load of the substation during peak hours; P G is the photovoltaic load consumption; P st is the energy storage power value.

4. The electrochemical energy storage power multi-boundary configuration method according to claim 3, characterized in that: The overload calculation includes: During the energy storage charging process, when the capacity of a single main transformer is less than 80%, calculate the energy storage power value that can be increased.

5. The electrochemical energy storage power multi-boundary configuration method according to claim 1, characterized in that: The shared energy storage power is greater than or equal to a preset value.

6. The electrochemical energy storage power multi-boundary configuration method according to claim 5, characterized in that: The auxiliary services include: Determine the minimum declared power unit based on peak load demand; Both the basic annual load control capacity and the predicted annual load control capacity meet the preset requirements.

7. The electrochemical energy storage power multi-boundary configuration method according to claim 1, characterized in that: Preprocessing the historical data includes: Missing value processing, outlier detection processing and data consistency check.

8. An electrochemical energy storage power multi-boundary configuration device, characterized in that: include: A historical data acquisition and processing unit, used to acquire historical data of solar energy, wind energy and load levels in a region; and pre-process the historical data; An energy storage power range calculation unit, used to calculate the regional energy storage power demand through the grid carrying capacity and business model according to the pre-processed historical data; And according to the regional energy storage power and level requirements, calculate the overall energy storage power range; The grid carrying capacity includes: regional capacity-load ratio, substation N-1 verification and heavy load calculation; The business models include: shared energy storage, peak-valley arbitrage and ancillary services; The optimal power value calculation unit is used to obtain the optimal power value according to the overall energy storage power range and the business model.

9. An electrochemical energy storage power multi-boundary configuration device, characterized in that: include: Memory for storing computer programs; A processor is used to call and execute the computer program to implement the steps of the electrochemical energy storage power multi-boundary configuration method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: It comprises a software program, which is suitable for a processor to execute the steps of the electrochemical energy storage power multi-boundary configuration method as described in any one of claims 1 to 7.

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