Power grid side flywheel energy storage stationing method considering source grid demand

Abstract

The invention relates to the technical field of power grid side energy storage, in particular to a power grid side flywheel energy storage stationing method considering source grid requirements, and aims to solve the problem of how to improve the adjusting effect of power grid side shared energy storage in the peak period of power utilization according to the source grid requirements. The invention provides a power grid side flywheel energy storage point distribution method considering a source network demand. The point distribution method comprises the following steps: determining pre-site selection data of power grid side shared energy storage according to an energy storage demand of a target area and a topological structure of cable equipment in the target area; acquiring cable equipment corresponding to the corrected site selection data, and calculating an energy storage demand corresponding to the corrected site selection data according to historical electricity consumption of the cable equipment; and obtaining a power supply unit in the target area, planning all the corrected site selection data according to the power supply capability and the energy storage demand of the power supply unit, and obtaining the actual distribution point of the power grid side shared energy storage.

Description

Technical Field

[0001] The present invention relates to the technical field of grid-side energy storage technology, and in particular to a method for distributing grid-side flywheel energy storage that takes into account source-network requirements. Background Art

[0002] Shared energy storage on the grid side can integrate independent and dispersed energy storage resources on the power source side and the user side, and hand them over to the grid for unified coordination, promoting the full release of energy storage capacity at both the source and load ends, and greatly improving the utilization rate of energy storage resources. The energy storage system has a two-way regulation function, which can quickly absorb or release electricity to the grid and realize the transfer of electricity on a time scale. Reasonable layout can ensure that the energy storage system can play its maximum role. However, the traditional layout method fails to fully consider the dynamic changes between power generation capacity and load demand during peak power consumption periods, which may result in the shared energy storage system being unable to alleviate power consumption pressure during peak periods. Therefore, how to improve the regulation effect of grid-side shared energy storage during peak power consumption periods according to the needs of the source network has become an urgent problem that the power grid needs to solve. Summary of the Invention

[0003] The problem solved by the present invention is how to improve the regulation effect of grid-side shared energy storage during peak power consumption periods according to the needs of the source network.

[0004] To solve the above problems, an embodiment of the present invention provides a method for deploying flywheel energy storage on the grid side that takes into account the needs of the source network. The deployment method includes: determining the pre-site selection data of the grid-side shared energy storage based on the energy storage needs of the target area and the topological structure of the cable equipment in the target area; predicting the future power consumption of the target area, and correcting the pre-site selection data based on the future power consumption to obtain corrected site selection data; obtaining the cable equipment corresponding to the corrected site selection data, and calculating the energy storage demand corresponding to the corrected site selection data based on the historical power consumption of the cable equipment; obtaining the power supply units in the target area, and planning all the corrected site selection data based on the power supply capacity and energy storage demand of the power supply units to obtain the actual deployment of the grid-side shared energy storage.

[0005] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the pre-site selection data is determined according to the energy storage demand and cable equipment topology of the target area, which can fully consider the existing power grid layout and actual energy storage demand in the area, so that the pre-site selection is more in line with the actual situation, and the accuracy and rationality of the site selection are improved. By predicting the future electricity consumption of the target area and correcting the pre-site selection data accordingly, the site selection plan is forward-looking, the cable equipment corresponding to the corrected site selection data is obtained, and the energy storage demand is calculated based on the historical electricity consumption of the cable equipment, so that the energy storage demand of the cable is more in line with the actual situation. The power supply units in the target area are obtained, and the corrected site selection data is planned according to the power supply capacity and energy storage demand of the power supply units. It can comprehensively consider the factors of power supply units and energy storage demand, help to achieve optimal resource allocation, and by reasonably determining the actual layout of shared energy storage on the grid side, it can better balance the supply and demand relationship of the power grid and improve the stability and reliability of the power grid.

[0006] In one embodiment of the present invention, pre-site selection data for grid-side shared energy storage is determined based on the energy storage demand of the target area and the topological structure of the cable equipment in the target area, specifically including: based on the maximum power consumption of each cable equipment in the target area, recording the cable equipment with a maximum power consumption greater than the load threshold as a load cable; obtaining the working node of the load cable and the connection nodes of multiple load cables, and determining the pre-site selection data based on the working node and the connection node.

[0007] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by determining the load cable based on the comparison between the maximum power consumption of the cable equipment and the load threshold, it can accurately identify the key cable equipment in the target area with large power load and more urgent energy storage demand, obtain the working nodes and connection nodes of the load cable, and determine the pre-site selection data accordingly. It can accurately locate the appropriate energy storage installation location from the perspective of the power grid topology. Through quantitative load threshold judgment and node analysis, the site selection process is made more rigorous and standardized, providing a reliable basis for the subsequent planning and construction of the energy storage system.

[0008] In one embodiment of the present invention, the future electricity consumption of the target area is predicted, and the pre-site selection data is corrected according to the future electricity consumption to obtain the corrected site selection data, which specifically includes: obtaining the future power grid plan in the target area, and determining the power change trend of the working nodes and the connection nodes according to the future power grid plan; screening the working nodes and the connection nodes according to the power change trend to obtain the load nodes; predicting the change in power of each load node according to the future power grid plan, and determining the corrected site selection data according to the change in power.

[0009] Compared with the existing technology, the technical effect achieved by adopting this technical solution is that the working nodes and connection nodes are screened according to the power change trend to obtain the load nodes, which can dynamically identify the key nodes with higher power load under the future power grid state, and predict the change of power of each load node according to the future power grid plan, and determine the revised site selection data accordingly, which can more accurately predict the actual demand for energy storage of each node. By predicting future power consumption and correcting the site selection data, the power grid has a stronger response capability when facing possible power fluctuations and changes in the future.

[0010] In one embodiment of the present invention, cable equipment corresponding to the revised site selection data is obtained, and the energy storage demand corresponding to the revised site selection data is calculated based on the historical power consumption of the cable equipment, specifically including: obtaining the peak power consumption period of the target area in each natural year based on the fluctuation of historical power consumption; screening the cable equipment according to the power consumption of the cable equipment during the peak power consumption period to obtain the target cable; and calculating the energy storage demand of the target cable based on the time proportion of the peak power consumption period and the excess power during the peak power consumption period.

[0011] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: by obtaining the peak electricity consumption period of the target area in each natural year based on the fluctuation of historical electricity consumption, the time period with the most concentrated electricity demand in the target area can be accurately determined, and the cable equipment can be screened according to the electricity consumption of the cable equipment during the peak electricity consumption period to obtain the target cable, which helps to focus on the cable equipment with the most urgent energy storage needs. The time proportion of the peak electricity consumption period reflects the relative importance of the period in the whole year, and the excess electricity directly reflects the part of the electricity demand during the peak electricity consumption period that exceeds the normal supply. By combining these two factors to calculate the energy storage demand, the energy storage demand required for each target cable can be accurately determined, avoiding the waste of resources caused by excessive energy storage configuration.

[0012] In one embodiment of the present invention, cable equipment is screened according to the power consumption of the cable equipment during the peak power consumption period to obtain a target cable, specifically including: obtaining the historical load of the cable equipment during the peak power consumption period, and counting the load duration when the historical load is greater than or equal to the load threshold; obtaining the number of loads when the historical load of the cable equipment during the peak power consumption period is greater than or equal to the load threshold; screening the cable equipment according to the load duration, load times and the total duration of the peak power consumption period to obtain a target cable.

[0013] Compared with the existing technology, the technical effect achieved by adopting this technical solution is: the load duration reflects the continuous operation time of the cable equipment under high load state, and the load times reflect the frequency of high load conditions in the cable equipment. By combining these two indicators and the total duration of peak power consumption periods for screening, it is possible to more accurately identify those cable equipment that really have a greater demand for energy storage.

[0014] In one embodiment of the present invention, power supply units in the target area are obtained, and all revised site selection data are planned according to the power supply capacity and energy storage demand of the power supply units to obtain the actual layout of shared energy storage on the grid side, specifically including: obtaining the historical uploaded power of the power supply units, calculating the daily average power transmission of the power supply units and the load transmission of the power supply units during peak power consumption periods; judging whether the energy storage demand of all revised site selection data can be met according to the daily average power transmission and the load transmission; if so, combining the daily average power transmission, the load transmission and the energy storage demand of the revised site selection data to form a shared energy storage group, and setting the actual layout at each revised site selection data; if not, determining the revised site selection data that needs to be deleted according to the daily average power transmission, the load transmission and the energy storage demand to obtain the actual layout.

[0015] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the average daily power transmission reflects the power supply level of the power supply unit under normal circumstances, while the load power transmission during peak power consumption periods reflects its power supply performance during peak power consumption periods. According to the average daily power transmission and load power transmission, the actual power supply capacity of the power supply unit can be understood more accurately, and the shared energy storage group can be reasonably configured to realize the sharing and optimal utilization of energy storage resources. The actual layout of shared energy storage on the grid side can be reasonably planned, which can improve the overall performance of the grid, effectively alleviate the pressure on the grid, and improve the stability and reliability of the grid.

[0016] In one embodiment of the present invention, if not, the revised site selection data that needs to be deleted is determined based on the average daily power transmission, load power transmission and energy storage demand to obtain the actual layout, specifically including: calculating the load difference of the target area based on the average daily power transmission, load power transmission and energy storage demand; determining the target supply power of each revised site selection data based on the weight coefficient and load difference of each revised site selection data; when the target supply power is less than the supply threshold, deleting the revised site selection data and reallocating the target supply power; obtaining the revised site selection data after deletion to obtain the actual layout.

[0017] Compared with the existing technology, the technical effect achieved by adopting this technical solution is as follows: the quantified load difference provides a clear numerical basis for subsequent analysis and decision-making, and the target supply power of each revised site selection data is determined according to the weight coefficient and load difference of each revised site selection data, fully considering the importance of different revised site selection data in the target area, and clarifying the acceptable minimum power supply standard by setting the supply threshold. Site selection points that do not meet the standards are eliminated in time, avoiding unnecessary energy storage equipment construction and resource investment at these locations. By eliminating those site selection points that cannot meet the power supply requirements, the actual layout is more reasonable, which can better match the power supply capacity of the power supply unit, and improve the overall operation efficiency of the grid-side shared energy storage system.

[0018] In one embodiment of the present invention, the target power supply of each revised site selection data is determined based on the weight coefficient of each revised site selection data and the load difference, specifically including: obtaining the actual power consumption of each revised site selection data, and calculating the first coefficient of the revised site selection data based on the actual power consumption and the load threshold; predicting the future power change range of the revised site selection data based on the future power grid plan, and determining the second coefficient based on the future power change range; calculating the weight coefficient of the revised site selection data based on the first coefficient and the second coefficient, and allocating the energy storage demand according to the weight coefficient to obtain the target power supply.

[0019] Compared with the existing technology, the technical effect achieved by adopting this technical solution is: by obtaining the actual electricity consumption of each revised site selection data, and calculating the first coefficient of the revised site selection data based on the actual electricity consumption and the load threshold, it is possible to measure the relative importance of each site selection point based on the actual electricity consumption situation, and predict the future electricity change range of the revised site selection data based on the future power grid plan, and determine the second coefficient accordingly, giving the site selection planning dynamism and foresight, and calculating the weight coefficient of the revised site selection data based on the first coefficient and the second coefficient, comprehensively considering the current actual electricity consumption situation and future development trends, making the determination of the weight coefficient more scientific and reasonable, and the revised site selection data with different weight coefficients correspond to different target supply electricity, so that the power supply capacity can more effectively match the actual needs and development potential of each site selection point. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is one of the flow charts of the grid-side flywheel energy storage deployment method considering the source-grid requirements of the present invention; Figure 2 This is the second flow chart of the grid-side flywheel energy storage deployment method considering the source-grid requirements of the present invention; Figure 3 This is the third flow chart of the grid-side flywheel energy storage deployment method considering the source-grid requirements of the present invention; Figure 4 This is the fourth flow chart of the grid-side flywheel energy storage deployment method considering the source-grid requirements of the present invention; Figure 5 This is the fifth flow chart of the grid-side flywheel energy storage deployment method considering the source-grid requirements of the present invention. DETAILED DESCRIPTION

[0021] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0022] [First embodiment] See also Figure 1 In a specific embodiment, the present invention provides a method for arranging flywheel energy storage on the grid side that takes into account the needs of the source network. The method includes: S100, determining pre-site selection data for grid-side shared energy storage based on the energy storage demand of the target area and the topological structure of the cable equipment in the target area; S200, predicting future electricity consumption of the target area, and revising the pre-site selection data according to the future electricity consumption to obtain revised site selection data; S300: Obtain the cable equipment corresponding to the revised site selection data, and calculate the energy storage demand corresponding to the revised site selection data based on the historical power consumption of the cable equipment; S400: Obtain power supply units in the target area, plan all revised site selection data according to the power supply capacity and energy storage requirements of the power supply units, and obtain the actual layout of grid-side shared energy storage.

[0023] In step S100, the target area is a load-concentrated area, such as a large industrial area, a commercial center, etc., and a place with distributed energy access points, such as solar photovoltaic and wind power generation. The energy storage demand refers to the demand for adjusting the power supply of the power grid in order to meet the stable operation of the power system and alleviate the operating pressure of the power grid. It can usually be obtained based on the power consumption fluctuations of the cable equipment in the target area or feedback from the user side. For example, changes in the fluctuation amplitude or frequency of power consumption are common phenomena when power supply is insufficient. In addition, if users frequently report problems such as unstable voltage and equipment failure to operate normally, it may also be a signal of insufficient power supply. The cable equipment with energy storage needs is marked, and pre-selected site data is obtained based on the topological structure between these cable equipment with energy storage needs, where the pre-selected site data refers to the nodes of the cable equipment that need to be connected to the shared energy storage system. It should be noted that the equipment in the shared energy storage system usually uses flywheel energy storage to store energy.

[0024] In step S200, generally speaking, the load center of the target area may change in the next few years due to economic development or changes in industrial structure. In order to ensure that the energy storage system can serve the power grid stably in the long term, the pre-selected site data needs to be revised based on the future electricity consumption of the target area.

[0025] The pre-site selection data can be screened according to the changing trend of future electricity consumption in the target area. For example, cable equipment with reduced electricity consumption in the future can be eliminated, or cable equipment with a significant increase in future load can be added to the pre-site selection data.

[0026] In step S300, the energy storage demand includes but is not limited to the amount of electricity that needs to be adjusted and the time required for adjustment. Under normal circumstances, the historical electricity consumption of the target area can be determined for how long by modifying the regional characteristics of the area served by the cable equipment corresponding to the site selection data. For example, for rapidly developing industrial areas, the growth of electricity consumption may show a strong trend. Therefore, it is necessary to obtain at least three years of historical electricity consumption to obtain the energy storage demand of this industrial park. For areas with relatively stable development, such as urban center areas, the historical electricity consumption of the past three years can be obtained to obtain the energy storage demand of this city center.

[0027] In step S400, the power supply unit refers to a unit that owns a distributed power source, such as a small hydropower station, a small wind turbine, a user-installed solar panel or a biomass power station. Under normal circumstances, in addition to supplying its own electricity, the distributed power source can also incorporate excess electricity into the power grid to reduce the pressure on the power grid, or store excess electricity for use when its own electricity consumption increases. The power supply capacity of the distributed power source is related to the power generation and load demand of the power supply unit, and can be obtained through the power company.

[0028] Taking photovoltaic power generation as an example, the real-time power generation of distributed power sources can be obtained by the following formula: P = P1 × θ1 × θ2; Among them, P is the actual power generation of the photovoltaic power generation equipment, P1 is the rated power, θ1 is the environmental efficiency factor, and θ2 is the equipment efficiency; The load demand of the power supply unit can be obtained through smart meters or monitoring systems. Then, the power supply capacity of the power supply unit can be obtained by the following formula: P 供 =P-P2; Among them, P 供 P is the power supply capacity of the power supply unit, and P2 is the load demand of the power supply unit.

[0029] For example, the rated power of a photovoltaic power generation device is 100KW, the environmental efficiency factor is 0.8, the equipment efficiency is 0.9, and the local load demand is 60KW. Then, the actual power generation power of the photovoltaic power generation device is 76KW, and the power supply capacity of the power supply unit is 16KW.

[0030] It should be noted that when calculating the power supply capacity of a power supply unit, the reverse power allowed by the power grid and the maximum output power of the inverter need to be considered. When the power supply capacity of a power supply unit is greater than the reverse power allowed by the power grid or the maximum output power of the inverter, then the smaller of the reverse power allowed by the power grid and the maximum output power of the inverter is selected as the power supply capacity of the power supply unit.

[0031] Determining the pre-site selection data based on the energy storage demand and cable equipment topology of the target area can fully consider the existing power grid layout and actual energy storage demand in the area, making the pre-site selection more in line with the actual situation and improving the accuracy and rationality of the site selection. By predicting the future electricity consumption of the target area and revising the pre-site selection data accordingly, the site selection plan is forward-looking. The cable equipment corresponding to the revised site selection data is obtained, and the energy storage demand is calculated based on the historical electricity consumption of the cable equipment, so that the energy storage demand of the cable is more in line with the actual situation. The power supply units in the target area are obtained, and the revised site selection data is planned according to the power supply capacity and energy storage demand of the power supply units. This can comprehensively consider the factors of power supply units and energy storage demand, help to achieve optimal resource allocation, and by reasonably determining the actual layout of shared energy storage on the grid side, it can better balance the supply and demand relationship of the grid and improve the stability and reliability of the grid.

[0032] [Second embodiment] In a specific embodiment, determining the pre-site selection data for grid-side shared energy storage based on the energy storage demand of the target area and the topology of the cable equipment in the target area specifically includes: S110. Based on the maximum power consumption of each cable device in the target area, record the cable device with a maximum power consumption greater than a load threshold as a load cable; S120 , obtaining a working node of a load cable and connection nodes of multiple load cables, and determining pre-selected location data according to the working node and the connection node.

[0033] In step S110, under normal circumstances, when the maximum power consumption of the cable equipment is greater than the load threshold, it indicates that the cable may be in a critical state and there is a risk of insufficient power supply. The maximum power consumption of each cable is obtained through the power company and other relevant departments. The load threshold is related to the rated current carrying capacity of the cable, the operating environment and the degree of aging of the cable. It can be obtained through national standards and specifications, industry application specifications or historical operation and maintenance records. For example, in spring, 80% of the rated current carrying capacity of the cable is used as the load threshold, and in summer, 70% of the rated current carrying capacity of the cable is used as the load threshold.

[0034] In step S120, the working node of the load cable refers to the key connection point or position involved in the laying, installation and operation of the cable, which is the place where current is distributed or gathered. These nodes include but are not limited to the starting point, end point, intermediate joint and branch point of the cable. The connection node of multiple load cables refers to the intersection or load distribution point between the load cables. In order to reduce grid losses and improve power supply efficiency, it is necessary to determine the location where a new cable needs to be connected based on the location of the working node and the connection node.

[0035] By comparing the maximum power consumption of cable equipment with the load threshold to determine the load cable, it is possible to accurately identify key cable equipment in the target area with large power loads and potentially more urgent energy storage needs, obtain the working nodes and connection nodes of the load cable, and determine the pre-site selection data accordingly. It is possible to accurately locate the appropriate energy storage installation location from the perspective of the grid topology. Through quantitative load threshold judgment and node analysis, the site selection process is made more rigorous and standardized, providing a reliable basis for subsequent energy storage system planning and construction.

[0036] [Third embodiment] See also Figure 2 In a specific embodiment, predicting the future electricity consumption of the target area and revising the pre-site selection data according to the future electricity consumption to obtain the revised site selection data specifically includes: S210, obtaining a future power grid plan in the target area, and determining a power consumption change trend of the working nodes and the connection nodes according to the future power grid plan; S220, screening working nodes and connection nodes according to the power change trend to obtain load nodes; S230 , predicting the change in power consumption of each load node according to the future power grid plan, and determining the revised site selection data according to the change in power consumption.

[0037] In step S210, generally speaking, a region's future power grid plan refers to the planning for the future development of the power grid, including new loads, power grid upgrades, and new energy access, which can usually be obtained through a comprehensive analysis of information obtained from multiple channels such as official policy documents, industry reports, power company plans, and public data platforms.

[0038] Generally speaking, the power consumption change trend of working nodes and connection nodes may show the following three situations in the next few years: the first situation: decrease, which may be due to industrial structure adjustment, the popularization of distributed energy and energy storage technology or energy efficiency improvement, resulting in a decrease in the target area's power consumption in the next few years; the second situation: increase, which is due to the acceleration of industrialization and modernization, the expansion of resource-intensive industries or the increase in the number of electric vehicles, resulting in an increase in the target area's power consumption in the next few years; the third situation: stability, under the condition of stable economic development or stable industrial and construction activities, the power consumption of the target area may not fluctuate significantly in the next few years and remain at a relatively stable level.

[0039] In step S220, under normal circumstances, the working nodes and connection nodes can be screened according to the trend of power changes. For example, the working nodes and connection nodes whose power will decrease in the future can be deleted, and the working nodes and connection nodes whose load will increase or be relatively stable in the future can be recorded as load nodes.

[0040] It should be noted that working nodes and connection nodes whose load amounts are reduced but whose maximum power consumption is still greater than the load threshold can also be recorded as load nodes.

[0041] In step S230, the future power grid plan can be used to obtain future power consumption through a convolutional neural network or a hybrid model. According to the working plan of the shared energy storage, it is determined how long it will take to obtain the future power consumption. For example, the shared energy storage needs to maintain its working efficiency for at least three years. Therefore, it is necessary to predict the future power consumption for at least three years. The change in power consumption of the load node is obtained based on the future power consumption and the current power consumption, and the access point of the new cable is determined based on the change in the change in power consumption.

[0042] By screening working nodes and connection nodes according to the trend of power consumption changes to obtain load nodes, it is possible to dynamically identify key nodes with high power load under future power grid conditions, predict the changing power consumption of each load node according to the future power grid plan, and determine the revised site selection data accordingly. This can more accurately predict the actual demand for energy storage at each node. By predicting future power consumption and revising the site selection data, the power grid will have a stronger ability to cope with possible power fluctuations and changes in the future.

[0043] [Fourth embodiment] See also Figure 3 In a specific embodiment, obtaining the cable equipment corresponding to the revised siting data and calculating the energy storage demand corresponding to the revised siting data based on the historical power consumption of the cable equipment specifically includes: S310, obtaining the peak electricity consumption period of the target area in each natural year based on historical electricity consumption fluctuations; S320, screening the cable equipment according to the power consumption of the cable equipment during the peak power consumption period to obtain the target cable; S330. Calculate the energy storage demand of the target cable according to the time proportion of the peak power consumption period and the excess power during the peak power consumption period.

[0044] In step S310, the peak electricity consumption period refers to a specific time period when the electricity demand in the power system is significantly higher than the average level, which is usually determined by the social production and life patterns, seasonal changes and regional electricity consumption characteristics. The peak electricity consumption period of the target area in each natural year can be obtained through a variety of methods. For example, the time series analysis of historical electricity consumption can be used to identify the periodic changes in electricity consumption and find the peak period. It can also be used to automatically identify the peak period based on historical electricity consumption using a machine learning algorithm.

[0045] In step S320, under normal circumstances, insufficient power supply generally occurs during peak power consumption periods. When the power consumption in the area served by the cable equipment is greater than the power supply, the load of the cable equipment will be close to or exceed the load threshold. Therefore, the historical load of the cable equipment during peak power consumption periods can be compared with the load threshold of the cable equipment to obtain the target cable.

[0046] In step S330, the peak power consumption period of each natural day in a natural year of the target cable can be obtained according to step S310, and the duration of the peak power consumption period of each natural day is added up to obtain the cumulative duration of the peak power consumption period. The time proportion of the peak power consumption period is obtained according to the ratio of the cumulative duration to the total duration of a natural year. Generally speaking, the electricity consumption situation in each region changes every year. Therefore, it is necessary to obtain the time proportion of the peak power consumption period for three consecutive years, and obtain the time proportion of the current peak power consumption period according to the changing trend of the time proportion.

[0047] Generally speaking, the greater the proportion of time during the peak power consumption period, the greater the energy storage demand of the target cable may be. In addition, excess power can refer to the part of the total power consumption of the target cable during the peak power consumption period that exceeds the maximum power supply that the power grid can stably supply, or it can refer to the part of the maximum load of the target cable during the peak power consumption period that is greater than the load threshold. It can be determined according to the power consumption fluctuation of the target cable during the peak power consumption period. For example, when the peak of the load curve of the target cable during the peak power consumption period is relatively sharp and narrow, the part of the maximum load of the target cable during the peak power consumption period that is greater than the load threshold can be used as the excess power. When the peak of the load curve of the target cable during the peak power consumption period is relatively smooth, the part of the total power consumption of the target cable during the peak power consumption period that exceeds the maximum power supply that the power grid can stably supply can be used as the excess power.

[0048] Energy storage demand refers to the amount of electricity that needs to be adjusted and the time required for adjustment. The amount of electricity that needs to be adjusted is related to the excess electricity, and the time required for adjustment is related to the peak electricity consumption period. For example, if the excess electricity of a target cable is 100KW, then the amount of electricity that needs to be adjusted is 100KW. Its peak electricity consumption period on a certain natural day is from 8:00 to 9:00 am. Then, the time required for adjustment is the peak period of this natural day from 8:00 to 9:00 am.

[0049] By obtaining the peak electricity consumption period of the target area in each calendar year based on historical electricity consumption fluctuations, we can accurately determine the time period with the most concentrated electricity demand in the target area. Cable equipment can be screened according to their electricity consumption during peak electricity consumption periods to obtain target cables. This helps to focus on cable equipment with the most urgent energy storage needs. The time proportion of peak electricity consumption periods reflects the relative importance of this period in the whole year, while excess electricity directly reflects the part of electricity demand that exceeds the normal supply during peak electricity consumption periods. By combining these two factors to calculate the energy storage demand, we can accurately determine the energy storage requirements required for each target cable and avoid resource waste caused by excessive energy storage configuration.

[0050] [Fifth embodiment] See also Figure 4 In a specific embodiment, cable equipment is screened according to the power consumption of the cable equipment during peak hours to obtain target cables, which specifically includes: S321. Obtain the historical load of the cable equipment during the peak power consumption period, and count the load duration when the historical load is greater than or equal to the load threshold; S322. Obtain the number of times during the peak power consumption period that the load of the cable device is greater than or equal to the load threshold; S323. Screen the cable equipment according to the load duration, load times, and total duration of the peak power consumption period to obtain a target cable.

[0051] In step S323, the load duration represents the working status of the cable equipment, and the load times can represent the stability of the cable equipment. Generally, in order to improve the utilization rate of the shared energy storage system, the total duration of the peak power consumption period is very important. The target area is divided into different power consumption areas according to regional characteristics. For example, the target area is divided into manufacturing areas, commercial areas, and technology industrial areas according to industry types, and the peak power consumption periods of different power consumption areas are obtained. The power consumption areas can be preliminarily screened according to the proportion of the total duration of the peak power consumption period to the total duration of a year, and those power consumption areas with a relatively small proportion can be excluded. For example, the power consumption areas where the total duration of the peak power consumption period accounts for less than 20% of the total duration of a year are excluded.

[0052] The load threshold refers to the maximum load value that the cable equipment is allowed to bear under safe operating conditions. When the load of the cable equipment is greater than the load threshold for a long time, it may affect the safety performance of the cable equipment. The duration threshold and number threshold can be set according to the parameters and loss of the cable equipment. Among them, the duration threshold refers to the longest cumulative time that the cable equipment allows the load to be greater than the load threshold, and the number threshold refers to the number of times the cable equipment allows the load to be greater than the load threshold. When the load duration is greater than or equal to the duration threshold or the load number is greater than or equal to the number threshold, the cable equipment is recorded as a target cable.

[0053] The load duration reflects the time that the cable equipment continues to operate under high load conditions, and the load times reflect the frequency of high load conditions in the cable equipment. By combining these two indicators and the total duration of peak power consumption periods for screening, we can more accurately identify those cable equipment that truly have a greater demand for energy storage.

[0054] [Sixth embodiment] See also Figure 5 In a specific embodiment, the power supply units in the target area are obtained, and all the revised site selection data are planned according to the power supply capacity and energy storage requirements of the power supply units to obtain the actual layout of the grid-side shared energy storage, which specifically includes: S410: Obtain the historical uploaded power of the power supply unit, calculate the daily average uploaded power of the power supply unit and the load uploaded power of the power supply unit during the peak power consumption period; S420: Determine whether the energy storage requirements of all revised site selection data can be met based on the daily average power transmission and load power transmission; S430: If yes, combine the daily average power transmission, load power transmission and the energy storage demand of the revised site selection data to form a shared energy storage group, and set the actual deployment point at each revised site selection data location; S440: If not, determine the revised site selection data that needs to be deleted based on the average daily power transmission, load power transmission and energy storage demand to obtain the actual site layout.

[0055] In step S410, the historical uploaded power refers to the amount of power that the power supply unit can provide to the power grid. The historical uploaded power of the power supply unit can be obtained through the power company and other relevant departments. Usually, the power supply unit refers to some units with distributed power sources. Since the power generation of distributed power sources is affected by environmental factors, the average daily power transmission of the power supply unit in different months can be calculated by obtaining the historical uploaded power in different months.

[0056] When the power supply unit has energy storage equipment, the load transfer amount refers to the amount of electricity that the power supply unit needs to adjust from the energy storage equipment during peak power consumption hours. Under normal circumstances, the power generation and power demand of some distributed power sources have a certain temporal and spatial consistency. For example, solar power generation mainly depends on sunshine and usually has maximum output during the day, while most households and commercial electricity consumption also has a high demand during the day, especially during periods of high load such as air conditioning and lighting. In addition, in some cold areas, the wind speed is high in winter, and the demand for electricity in winter usually increases. At this time, distributed wind power and electricity demand can be better synchronized. Therefore, during peak power consumption hours, the real-time power generation of distributed power sources may be less than the real-time power demand. At this time, it is necessary to draw electricity from the energy storage equipment for its own use.

[0057] When the power supply unit does not have energy storage equipment, the load transfer amount refers to the amount of electricity that the power supply unit can provide to the power grid during peak power consumption hours.

[0058] In step S420, the peak power consumption of the target cables corresponding to all the revised site selection data during the peak power consumption periods in different months is obtained based on the historical power consumption. When the power supply unit has energy storage equipment, the power supply capacity of the power supply unit is obtained by the difference between the average daily power transmission and the load power transmission. For example, the average daily power transmission of a distributed energy is 200KWh and the load power transmission is 50KWh, then the power supply capacity of the power supply unit is 150KWh.

[0059] When the power supply unit does not have energy storage equipment, the power supply capacity of the power supply unit is obtained according to the size of the load transmission amount. For example, if the load transmission amount of a distributed energy is 100KWh, then the power supply capacity of the power supply unit is 100KWh.

[0060] It should be noted that when a power supply unit does not have energy storage equipment and its power generation is less than its power consumption, and it needs to obtain electricity from the grid, this power supply unit does not have the ability to supply power during peak power consumption periods.

[0061] In step S430, when the power supply capacity of the power supply unit is greater than or equal to the energy storage requirements of all revised site selection data, the location where the new cable is to be merged is determined based on whether the load node has load margin, and based on the size of the power demand of the branch to which the target cable is connected and whether the branch has load margin, when the branch has power demand and the branch has load margin, the new cable can be directly merged into the branch; when the branch has power demand and the branch has no load margin, the target cable can be considered to be expanded.

[0062] When the target area has multiple power supply units and multiple load nodes, multiple calculation methods can be used to obtain the new cable connection point using the following formula.

[0063] Taking the center of gravity method as an example, suppose there are n power supply units, whose coordinates (x i ,y i ), the power supply is P i ; There are m electricity units, whose coordinates are (x' j , y' j ), power requirement Q j , then the coordinates of the new cable connection point (x0, y0) are calculated as follows: , ; Alternatively, the new cable connection point can be obtained using the minimum cost flow algorithm, which can be obtained by the following steps: The set of power supply units is S={s1, s2, ..., s m}, each power supply unit s i The power supply is Ps i , the set of load nodes is D={d1, d2, ..., d n}, each load node d j The power demand is Q dj , the geographical distance is the power supply unit s i To load node d j Cable path L ij ; ; in, Power supply unit i To load node d j The power supply, is the cost of cable per unit length.

[0064] ; in, is the loss coefficient.

[0065] ; in, ∈{0,1}, indicating whether a connection is established between si and dj, 1 for connection and 0 for no connection. The demand of each electricity unit must be met: , .

[0066] The average daily power transmission reflects the power supply level of the power supply unit under normal circumstances, while the load power transmission during peak power consumption hours reflects its power supply performance during peak power consumption hours. Based on the average daily power transmission and load power transmission, we can more accurately understand the actual power supply capacity of the power supply unit. Rational configuration of shared energy storage groups can achieve the sharing and optimal utilization of energy storage resources. Rational planning of the actual layout of shared energy storage on the grid side can improve the overall performance of the grid, effectively alleviate the pressure on the grid, and improve the stability and reliability of the grid.

[0067] [Seventh embodiment] In a specific embodiment, if not, then the revised site selection data to be deleted is determined based on the average daily power transmission, load power transmission, and energy storage demand to obtain the actual site layout, specifically including: S441. Calculate the load difference of the target area based on the average daily power transmission, load power transmission, and energy storage requirements; S442, determining the target power supply of each revised site selection data according to the weight coefficient of each revised site selection data and the load difference; S443, when the target power supply is less than the supply threshold, deleting the revised site selection data and reallocating the target power supply; S444. Obtain the corrected site selection data after deletion to obtain the actual site layout.

[0068] In step S442, under normal circumstances, when the energy storage requirements of all revised site selection data cannot be met, the revised site selection data with a smaller weight coefficient can be deleted, or all revised site selection data can be powered according to the size of the weight coefficient. For example, the revised site selection data with a large weight coefficient can be satisfied as much as possible, and then the revised site selection data with a small weight coefficient can be satisfied. The power supply can also be allocated according to the size of the weight coefficient.

[0069] In step S443, in order to improve the utilization efficiency of the shared energy storage network, a supply threshold can be set according to the equipment parameters and operating environment of the cable equipment. The supply threshold refers to the minimum power supply required when the cable equipment needs additional power during peak power consumption periods.

[0070] The quantified load difference provides a clear numerical basis for subsequent analysis and decision-making. The target power supply of each revised siting data is determined according to the weight coefficient and load difference of each revised siting data. The importance of different revised siting data in the target area is fully considered. By setting the supply threshold, the acceptable minimum power supply standard is clarified, and the siting points that do not meet the standards are eliminated in time, avoiding unnecessary energy storage equipment construction and resource investment in these locations. By eliminating those siting points that cannot meet the power supply requirements, the actual layout is made more reasonable, which can better match the power supply capacity of the power supply unit and improve the overall operation efficiency of the grid-side shared energy storage system. [Eighth embodiment] In a specific embodiment, determining the target power supply of each revised site selection data according to the weight coefficient of each revised site selection data and the load difference specifically includes: S442a, obtaining the actual power consumption of each revised site selection data, and calculating a first coefficient of the revised site selection data based on the actual power consumption and the load threshold; S442b, predicting and correcting the future power consumption change range of the site selection data according to the future power grid plan, and determining a second coefficient according to the future power consumption change range; S442c. Calculate a weight coefficient for the revised site selection data based on the first coefficient and the second coefficient, allocate energy storage demand based on the weight coefficient, and obtain a target power supply.

[0071] In step S442a, the maximum load of each modified site selection data during the peak power consumption period is obtained, recorded as F1, the load threshold is recorded as F2, and the first coefficient is recorded as V1. Then, the following relationship exists among V1, F1 and F2: V1=F1-F2; For example, the actual load of a certain modified site selection data is 30KW, and the load threshold is 25KW, then the first coefficient is 5KW.

[0072] In step S442b, generally speaking, the second coefficient can be obtained based on the change in the average load in the next three years. For example, when the actual load of a certain revised site selection data is 30KW, the load in the next three years will be 32KW, 33KW and 34KW respectively, and the load threshold is 25KW, then the second coefficient is 3KW.

[0073] In step S442c, generally, since the load thresholds of cable equipment vary depending on the specifications and models, it is necessary to determine the energy storage requirement of the cable equipment based on the ratio of the amount by which the cable equipment exceeds the load threshold to the load threshold, i.e., the initial weight coefficient. The initial weight coefficient can be obtained using the following formula: V=(V1+V2) / F2; Among them, V2 is the second coefficient and V is the initial weight coefficient.

[0074] The initial weight coefficient of each revised site selection data is normalized to obtain the weight coefficient of the revised site selection data, and the target power supply is obtained according to the product of the weight coefficient and the power supply capacity.

[0075] By obtaining the actual electricity consumption of each revised siting data and calculating the first coefficient of the revised siting data based on the actual electricity consumption and the load threshold, it is possible to measure the relative importance of each siting point based on the actual electricity consumption situation, predict the future electricity consumption change range of the revised siting data based on the future power grid plan, and determine the second coefficient accordingly, giving the siting plan dynamics and foresight. The weight coefficient of the revised siting data is calculated based on the first coefficient and the second coefficient, taking into account the current actual electricity consumption situation and future development trends, making the determination of the weight coefficient more scientific and reasonable. Revised siting data with different weight coefficients correspond to different target supply electricity, so that the power supply capacity can more effectively match the actual needs and development potential of each siting point.

[0076] Although the present invention is disclosed as above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the scope of protection of the present invention should be based on the scope defined by the claims.

Claims

1. A method for arranging flywheel energy storage on the grid side considering the needs of the source network, characterized in that: The point distribution method includes: Determining pre-site data for grid-side shared energy storage based on energy storage requirements of the target area and the topology of cable equipment within the target area; Predicting future electricity consumption of the target area, and revising the pre-site selection data according to the future electricity consumption to obtain revised site selection data; Obtaining the cable equipment corresponding to the revised siting data, and calculating the energy storage demand corresponding to the revised siting data based on the historical power consumption of the cable equipment; The power supply units in the target area are obtained, and all the revised site selection data are planned according to the power supply capacity of the power supply units and the energy storage requirements to obtain the actual layout of the grid-side shared energy storage.

2. The method for distributing points according to claim 1, characterized in that: The determining of pre-site data for grid-side shared energy storage based on the energy storage demand of the target area and the topological structure of the cable equipment in the target area specifically includes: According to the maximum power consumption of each cable device in the target area, the cable device whose maximum power consumption is greater than the load threshold is recorded as a load cable; The working node of the load cable and the connection nodes of the plurality of load cables are obtained, and the pre-selected location data is determined according to the working node and the connection node.

3. The method for distributing points according to claim 2, characterized in that: The predicting of the future power consumption of the target area and correcting the pre-site selection data according to the future power consumption to obtain corrected site selection data specifically includes: Obtaining a future power grid plan within the target area, and determining a power consumption change trend of the working node and the connection node according to the future power grid plan; Filter the working nodes and the connection nodes according to the power change trend to obtain load nodes; The changed power quantity of each load node is predicted according to the future power grid plan, and the revised site selection data is determined according to the changed power quantity.

4. The method for distributing points according to claim 3, characterized in that: The obtaining of the cable equipment corresponding to the revised siting data and calculating the energy storage demand corresponding to the revised siting data based on the historical power consumption of the cable equipment specifically includes: Obtaining the peak electricity consumption period of the target area in each natural year based on the fluctuation of the historical electricity consumption; Screening the cable equipment according to the power consumption of the cable equipment during the peak power consumption period to obtain a target cable; The energy storage demand of the target cable is calculated according to the time proportion of the peak power consumption period and the excess power during the peak power consumption period.

5. The method for distributing points according to claim 4, characterized in that: The screening of the cable equipment according to the power consumption of the cable equipment during the peak power consumption period to obtain the target cable specifically includes: Obtaining a historical load of the cable device during the peak power consumption period, and counting a load duration during which the historical load is greater than or equal to the load threshold; Obtaining the number of times that the historical load of the cable device is greater than or equal to the load threshold during the peak power consumption period; The cable equipment is screened according to the load duration, the load times, and the total duration of the peak power consumption period to obtain the target cable.

6. The method for distributing points according to claim 5, characterized in that: The step of obtaining power supply units in the target area and planning all the revised site selection data according to the power supply capacity of the power supply units and the energy storage requirements to obtain the actual layout of the grid-side shared energy storage specifically includes: Obtain the historical amount of power uploaded by the power supply unit, and calculate the average daily amount of power uploaded by the power supply unit and the load power uploaded by the power supply unit during the peak power consumption period; Determining whether the energy storage requirements of all the revised site selection data can be met based on the average daily power transmission and the load power transmission; If yes, then combine the daily average power transmission, the load power transmission and the energy storage demand of the revised site selection data to form a shared energy storage group, and set the actual distribution point at each of the revised site selection data; If not, the revised site selection data that needs to be deleted is determined based on the average daily power transmission, the load power transmission and the energy storage demand to obtain the actual site layout.

7. The method for distributing points according to claim 6, characterized in that: If not, determining the revised site selection data that needs to be deleted based on the average daily power transmission, the load power transmission, and the energy storage demand to obtain the actual site layout, specifically including: Calculating the load difference of the target area according to the average daily power transmission, the load power transmission and the energy storage demand; Determining the target supply power of each of the revised site selection data according to the weight coefficient of each of the revised site selection data and the load difference; When the target power supply is less than the supply threshold, the revised site selection data is deleted and the target power supply is reallocated; The corrected site selection data after deletion is obtained to obtain the actual site layout.

8. The method for distributing points according to claim 6, characterized in that: The determining of the target supply power of each of the modified site selection data according to the weight coefficient of each of the modified site selection data and the load difference specifically includes: Obtaining actual power consumption of each of the modified site selection data, and calculating a first coefficient of the modified site selection data according to the actual power consumption and the load threshold; Predicting a future power quantity change range of the revised site selection data according to the future power grid plan, and determining a second coefficient according to the future power quantity change range; The weight coefficient of the revised site selection data is calculated according to the first coefficient and the second coefficient, and the energy storage demand is allocated according to the weight coefficient to obtain the target supply power.

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