A method for site selection of grid-side flywheel energy storage considering source and grid requirements

Abstract

The present application relates to the technical field of grid-side energy storage, in particular to a grid-side flywheel energy storage site planning method considering source grid demand, and solves the problem of how to improve the regulation effect of grid-side shared energy storage during the power consumption peak period according to the source grid demand. To solve the above problem, the present application provides a grid-side flywheel energy storage site planning method considering source grid demand, which comprises the following steps: determining the pre-siting data of the grid-side shared energy storage according to the energy storage demand of a target area and the topological structure of cable equipment in the target area; obtaining the cable equipment corresponding to the corrected siting data, calculating the energy storage demand corresponding to the corrected siting data according to the historical power consumption of the cable equipment; obtaining the power supply units in the target area, planning all the corrected siting data according to the power supply capacity and energy storage demand of the power supply units, and obtaining the actual site planning of the grid-side shared energy storage.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of grid-side energy storage, in particular to a grid-side flywheel energy storage site selection method considering source and grid demand. BACKGROUND

[0002] Grid-side shared energy storage can integrate independent distributed source-side and user-side energy storage resources and coordinate them by the grid to fully release the energy storage capacity of the source and load ends and greatly improve the utilization rate of energy storage resources. The energy storage system has the function of bidirectional regulation and can quickly absorb or release electric energy to the grid to realize the transfer of electric energy in the time scale. Reasonable site selection can ensure that the energy storage system can maximize its role. However, the traditional site selection method fails to fully consider the dynamic changes between the power generation capacity and load demand during the peak electricity consumption period, which may result in that the shared energy storage system cannot relieve the electricity consumption pressure during the peak period. Therefore, how to improve the regulation effect of grid-side shared energy storage during the peak electricity consumption period according to the source and grid demand has become a problem to be solved by the grid. SUMMARY

[0003] The problem solved by the present application is how to improve the regulation effect of grid-side shared energy storage during the peak electricity consumption period according to the source and grid demand.

[0004] To solve the above problems, the embodiments of the present application provide a grid-side flywheel energy storage site selection method considering source and grid demand, which comprises the following steps: determining the pre-site selection data of the grid-side shared energy storage according to the energy storage demand of a target area and the topological structure of the cable equipment in the target area; predicting the future electricity consumption of the target area and correcting the pre-site selection data according to the future electricity 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 according to the historical electricity consumption of the cable equipment; obtaining the power supply units in the target area and planning all the corrected site selection data according to the power supply capacity and energy storage demand of the power supply units to obtain the actual site selection of the grid-side shared energy storage.

[0005] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the pre-sited data is determined according to the energy storage demand of the target region and the cable equipment topological structure, the existing power grid layout and the actual energy storage demand in the region can be fully considered, the pre-sited data is more in line with the actual situation, the accuracy and rationality of the site selection are improved, the future power consumption of the target region is predicted, the pre-sited data is corrected according to the future power consumption, the site selection scheme is forward-looking, the cable equipment corresponding to the corrected pre-sited data is obtained, the energy storage demand is calculated according to the historical power consumption of the cable equipment, the energy storage demand of the cable is more in line with the actual situation, the power supply units in the target region are obtained, the pre-sited data is planned according to the power supply capacity of the power supply units and the energy storage demand, the power supply units and the energy storage demand can be comprehensively considered, the optimal allocation of resources is achieved, the actual distribution of the grid-side shared energy storage is reasonably determined, the supply and demand relationship of the power grid can be better balanced, and the stability and reliability of the power grid are improved.

[0006] In an embodiment of the present application, the pre-sited data of the grid-side shared energy storage is determined according to the energy storage demand of the target region and the topological structure of the cable equipment in the target region, specifically including: according to the maximum power consumption of each cable equipment in the target region, the cable equipment with the maximum power consumption greater than the load threshold is recorded as a load cable; the working node of the load cable and the connection node of the plurality of load cables are obtained, and the pre-sited data is determined according to the working node and the connection node.

[0007] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the load cable is determined by comparing the maximum power consumption of the cable equipment with the load threshold, the key cable equipment with large power load in the target region and the energy storage demand that may be more urgent can be accurately identified, the working node of the load cable and the connection node are obtained, and the pre-sited data is determined accordingly, the appropriate energy storage installation position can be accurately positioned from the perspective of the power grid topological structure, the site selection process is more rigorous and standardized through the quantitative load threshold judgment and the analysis of the nodes, and a reliable basis is provided for the subsequent energy storage system planning and construction.

[0008] In an embodiment of the present application, the future power consumption of the target region is predicted, and the pre-sited data is corrected according to the future power consumption to obtain corrected pre-sited data, specifically including: obtaining a future power grid plan in the target region, determining the power change trend of the working node and the connection node according to the future power grid plan; the working node and the connection node are screened according to the power change trend to obtain a load node; the change power of each load node is predicted according to the future power grid plan, and the corrected pre-sited data is determined according to the change power.

[0009] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the load nodes are obtained by screening the working nodes and the connection nodes according to the power change trend, the key nodes with high power load under the future power grid state can be dynamically identified, the change power of each load node is predicted according to the future power grid plan, and the site selection data is corrected accordingly, so that the actual demand of each node for energy storage can be more accurately predicted, and through the prediction of the future power and the correction of the site selection data, the power grid has stronger response capability when facing the power fluctuation and change that may occur in the future.

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

[0011] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the power consumption peak period of the target area in each natural year is obtained according to the fluctuation of the historical power consumption, so that the time period with the most concentrated power demand in the target area can be accurately determined, the cable equipment is screened according to the power consumption of the cable equipment in the power consumption peak period to obtain the target cable, which helps to focus on the cable equipment with the most urgent demand for energy storage, the time proportion of the power consumption peak period reflects the relative importance of the period in the whole year, and the excess power directly reflects the part of the power demand exceeding the normal supply in the power consumption peak period, so that the energy storage demand of each target cable can be accurately determined by comprehensively considering these two factors, and resource waste caused by excessive energy storage configuration can be avoided.

[0012] In an embodiment of the present application, the cable equipment is screened according to the power consumption of the cable equipment in the power consumption peak period to obtain the target cable, specifically including: obtaining the historical load amount of the cable equipment in the power consumption peak period, and counting the load duration of the historical load amount greater than or equal to the load threshold; obtaining the load frequency of the historical load amount greater than or equal to the load threshold in the power consumption peak period; and screening the cable equipment according to the load duration, the load frequency and the total duration of the power consumption peak period to obtain the target cable.

[0013] Compared with the prior art, the technical effects achieved by the technical scheme are as follows: the load duration reflects the time of the cable equipment running in the high load state, and the load frequency reflects the frequency of the cable equipment appearing in the high load state, so that the cable equipment with a greater demand for energy storage can be more accurately identified by comprehensively considering these two indexes and the total duration of the power consumption peak period.

[0014] In an embodiment of the present application, the available power supply units in the target area are obtained, and all the modified site selection data are planned according to the power supply capacity of the available power supply units and the energy storage demand, to obtain the actual distribution of the grid-side shared energy storage, specifically including: obtaining the historical uploaded power of the available power supply units, calculating the daily average power transmission of the available power supply units and the load power transmission of the available power supply units in the power consumption peak period; judging whether the energy storage demand of all the modified site selection data can be met according to the daily average power transmission and the load power transmission; if yes, combining the daily average power transmission, the load power transmission and the energy storage demand of the modified site selection data to form a shared energy storage group, and setting the actual distribution at each modified site selection data; if no, determining the modified site selection data that needs to be deleted according to the daily average power transmission, the load power transmission and the energy storage demand, to obtain the actual distribution.

[0015] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the daily average power transmission reflects the power supply level of the available power supply units under normal circumstances, and the load power transmission in the power consumption peak period reflects the power supply performance of the available power supply units in the power consumption peak period; the actual power supply capacity of the available power supply units can be more accurately understood according to the daily average power transmission and the load power transmission; the shared energy storage group can be reasonably configured; the sharing and optimized utilization of energy storage resources can be realized; the actual distribution of the grid-side shared energy storage can be reasonably planned; the overall performance of the power grid can be improved; the pressure of the power grid can be effectively relieved; and the stability and reliability of the power grid can be improved.

[0016] In an embodiment of the present application, if no, the modified site selection data that needs to be deleted is determined according to the daily average power transmission, the load power transmission and the energy storage demand, to obtain the actual distribution, specifically including: calculating the load difference value of the target area according to the daily average power transmission, the load power transmission and the energy storage demand; determining the target supply power of each modified site selection data according to the weight coefficient of each modified site selection data and the load difference value; when the target supply power is less than a supply threshold, deleting the modified site selection data and re-distributing the target supply power; obtaining the modified site selection data after deletion, to obtain the actual distribution.

[0017] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: the quantitative load difference value provides a clear numerical basis for subsequent analysis and decision-making; the target supply power of each modified site selection data is determined according to the weight coefficient of each modified site selection data and the load difference value, fully considering the importance of different modified site selection data in the target area; by setting the supply threshold, the minimum acceptable power supply standard is clear; the site selection points that do not meet the standard are timely eliminated, avoiding unnecessary construction of energy storage equipment and resource investment at these locations; by eliminating the site selection points that cannot meet the power supply requirements, the actual distribution is more reasonable, which can better match the power supply capacity of the available power supply units, and improve the overall operation efficiency of the grid-side shared energy storage system.

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

[0019] Compared with the prior art, the technical effects achieved by adopting the technical scheme are: by obtaining the actual power consumption of each modified site selection data, and calculating the first coefficient of the modified site selection data according to the actual power consumption and the load threshold, the relative importance of each site selection point can be measured from the actual power consumption, the second coefficient is determined according to the future power change range of the modified site selection data predicted according to the future power grid plan, which gives the site selection planning dynamicity and foresight, the weight coefficient of the modified site selection data is calculated according to the first coefficient and the second coefficient, and the current actual power consumption and future development trend are comprehensively considered, so that the determination of the weight coefficient is more scientific and reasonable, the modified site selection data with different weight coefficients corresponds to different target supply power, and the power supply capacity can more effectively match the actual demand and development potential of each site selection point. BRIEF DESCRIPTION OF DRAWINGS

[0020] Figure 1 One of the flowcharts of the site selection method of the power grid side flywheel energy storage considering source grid demand of the present application;

[0021] Figure 2 The second flowchart of the site selection method of the power grid side flywheel energy storage considering source grid demand of the present application;

[0022] Figure 3 The third flowchart of the site selection method of the power grid side flywheel energy storage considering source grid demand of the present application;

[0023] Figure 4 The fourth flowchart of the site selection method of the power grid side flywheel energy storage considering source grid demand of the present application;

[0024] Figure 5 The fifth flowchart of the site selection method of the power grid side flywheel energy storage considering source grid demand of the present application. DETAILED DESCRIPTION

[0025] In order to make the above-mentioned purposes, features and advantages of the present application more obvious and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the drawings.

[0026]

First embodiment

[0027] See Figure 1 In one specific embodiment, the present application provides a method for determining the location of grid-side flywheel energy storage systems considering the energy demand of the source network, the method comprising:

[0028] S100, determining pre-sited data of grid-side shared energy storage according to the energy storage demand of the target area and the topology of the cable equipment in the target area;

[0029] S200, predicting the future power consumption of the target area, and correcting the pre-sited data according to the future power consumption to obtain corrected sited data;

[0030] S300, obtaining the cable equipment corresponding to the corrected sited data, and calculating the energy storage demand corresponding to the corrected sited data according to the historical power consumption of the cable equipment;

[0031] S400, obtaining power supply units in the target area, and planning all the corrected sited data according to the power supply capacity and energy storage demand of the power supply units to obtain the actual location of the grid-side shared energy storage.

[0032] In step S100, the target area is a load concentration area, for example, a large industrial area, a commercial center, etc., and has distributed energy access points, for example, solar photovoltaic and wind power generation, etc. 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 relieve the operation pressure of the power grid. It can be obtained according to the power fluctuation of the cable equipment in the target area or the user side feedback, for example, the change of the fluctuation amplitude or frequency of the power consumption is a common phenomenon when the power supply is insufficient. In addition, if users frequently report problems such as unstable voltage and equipment cannot operate normally, it may also be a signal of insufficient power supply. The cable equipment with energy storage demand is marked, and the pre-sited data is obtained according to the topology between these cable equipment with energy storage demand. It should be noted that the equipment in the shared energy storage system usually adopts the flywheel energy storage mode for energy storage.

[0033] In step S200, generally speaking, the load center of the target area in the next few years may change due to economic development or changes in industrial structure. In order to ensure that the energy storage system can serve the power grid stably for a long time, it is necessary to correct the pre-sited data through the future power consumption of the target area.

[0034] The pre-sited data can be screened according to the change trend of the future power consumption of the target area, for example, the cable equipment with reduced future power consumption can be excluded, and the cable equipment with significantly increased future load can be added to the pre-sited data.

[0035] In step S300, the energy storage demand includes, but is not limited to, the size of the power to be regulated and the time to be regulated, etc. In general, the historical power consumption of the target area for how long can be determined by correcting the regional characteristics of the area served by the cable equipment corresponding to the site selection data. For example, for a rapidly developing industrial park, the growth of power consumption may show strong trendiness, therefore, at least three years of historical power consumption needs to be obtained to obtain the energy storage demand of the industrial park. For a relatively stable area, such as a city center, the historical power consumption of the past three years can be obtained to obtain the energy storage demand of the city center.

[0036] In step S400, the power supply unit refers to a unit that has a distributed power source, such as a small hydropower station, a small wind turbine, a user-installed solar panel, or a biomass power station, etc. In general, the power generated by the distributed power source can be used for self-power consumption, and the excess power can be integrated into the power grid to reduce the pressure of power supply of the power grid, or stored for use when the self-power 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, which can be obtained from the power company.

[0037] Taking photovoltaic power generation as an example, the real-time power generation of the distributed power source can be obtained by the following formula:

[0038] P=P1×θ1×θ2;

[0039] Wherein, 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.

[0040] The load demand of the power supply unit can be obtained by the intelligent electric meter or the monitoring system, then the power supply capacity of the power supply unit can be obtained by the following formula:

[0041] P 供 =P-P2;

[0042] Wherein, P 供 is the power supply capacity of the power supply unit, and P2 is the load demand of the power supply unit.

[0043] For example, the rated power of the photovoltaic power generation equipment 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 of the photovoltaic power generation equipment is 76KW, and the power supply capacity of the power supply unit is 16KW.

[0044] It should be noted that when the power supply capacity of the power supply unit is greater than the reverse power allowed by the power grid or the maximum output power of the inverter, the smaller one 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.

[0045] The pre-siting data is determined according to the energy storage demand of the target area and the topology structure of the cable equipment, the existing power grid layout and the actual energy storage demand in the area can be fully considered, the pre-siting is more in line with the actual situation, the accuracy and rationality of the site selection are improved, the future power consumption of the target area is predicted, the pre-siting data is corrected accordingly, the site selection scheme is forward-looking, the cable equipment corresponding to the corrected pre-siting data is obtained, the energy storage demand is calculated according to the historical power consumption of the cable equipment, the energy storage demand of the cable is more in line with the actual situation, the power supply unit in the target area is obtained, and the corrected pre-siting data is planned according to the power supply capacity of the power supply unit and the energy storage demand. The factors of power supply unit and energy storage demand are considered comprehensively, which helps to realize the optimization of resources, reasonably determines the actual distribution of power grid side shared energy storage, and better balances the supply and demand relationship of the power grid, improves the stability and reliability of the power grid.

[0046] The second embodiment

[0047] In one specific embodiment, the pre-siting data of the power grid side shared energy storage is determined according to the energy storage demand of the target area and the topology structure of the cable equipment in the target area, and specifically includes:

[0048] S110, according to the maximum power consumption of each cable equipment in the target area, the cable equipment with maximum power consumption greater than the load threshold is recorded as a load cable;

[0049] S120, obtaining the working nodes of the load cable and the connection nodes of the plurality of load cables, and determining the pre-siting data according to the working nodes and the connection nodes.

[0050] 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 power supply shortage. The maximum power consumption of each cable is obtained through the relevant departments such as the power company, and the load threshold is related to the rated current carrying capacity of the cable, the operating environment and the aging degree of the cable. It can be obtained through national standards and specifications, industry application specifications or historical operation records, for example, in spring, 80% of the rated current carrying capacity of the cable is taken as the load threshold, and in summer, 70% of the rated current carrying capacity of the cable is taken as the load threshold.

[0051] In step S120, the working nodes of the load cables refer to key connection points or positions involved in the process of laying, installing and running of the cables, and are places where the current is distributed or collected. These nodes include, but are not limited to, the starting point, the ending point, the intermediate joint and the branch point of the cable, and the connection nodes of the load cables refer to the intersection points between the load cables or the load distribution points. In order to reduce the power grid loss and improve the power supply efficiency, the position of the new cable to be connected needs to be determined according to the positions of the working nodes and the connection nodes.

[0052] By comparing the maximum power consumption of the cable equipment with the load threshold value to determine the load cable, the key cable equipment with larger power load in the target area and more urgent demand for energy storage can be accurately identified. The working nodes and the connection nodes of the load cable are obtained, and the pre-site data is determined accordingly. The appropriate energy storage installation position can be accurately positioned from the perspective of the power grid topology. Through quantitative load threshold value judgment and node analysis, the site selection process is more rigorous and standardized, and a reliable basis is provided for subsequent energy storage system planning and construction.

[0053]

Third embodiment

[0054] Referring to Figure 2 In a specific embodiment, the future power consumption of the target area is predicted, and the pre-site data is corrected according to the future power consumption to obtain corrected site selection data, specifically including:

[0055] S210, obtaining a 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;

[0056] S220, screening the working nodes and the connection nodes according to the power change trend to obtain load nodes;

[0057] S230, predicting the change power of each load node according to the future power grid plan, and determining the corrected site selection data according to the change power.

[0058] In step S210, usually, the future power grid plan of a region refers to the planning of the future development of the power grid, including new load, power grid upgrade and new energy access, etc. It can be obtained by comprehensively analyzing the information obtained from multiple channels such as official policy documents, industry reports, power company planning and public data platform.

[0059] Generally, the power change trend of the working nodes and the connecting nodes may have the following three cases in the future years: the first case is a decrease, which may be caused by industrial restructuring, popularization of distributed energy and energy storage technology, or energy efficiency improvement, and the power consumption of the target region in the future years decreases; the second case is an increase, which may be caused by acceleration of industrialization and modernization process, expansion of source-intensive industries, or increase in the number of electric vehicles, and the power consumption of the target region in the future years increases; and the third case is stable, in which the power consumption of the target region may not fluctuate significantly in the future years and remains at a relatively stable level, in the case of stable economic development or stable industrial and construction activities.

[0060] In step S220, generally, the working nodes and the connecting nodes can be screened according to the power change trend, for example, the working nodes and the connecting nodes with a future decrease in power can be deleted, and the working nodes and the connecting nodes with an increase or relatively stable load in the future can be recorded as load nodes.

[0061] It should be noted that the working nodes and the connecting nodes with a decrease in load but a maximum power consumption greater than the load threshold can also be recorded as load nodes.

[0062] In step S230, the future power consumption can be obtained by using the future power grid plan through a convolutional neural network or a hybrid model, and the time required to obtain the future power consumption is determined according to the working plan of the shared energy storage, for example, the shared energy storage needs to maintain the working benefit for at least three years, so at least three years of future power consumption needs to be predicted, the change in power of the load node is obtained according to the future power consumption and the existing power consumption, and the access point of the new cable is determined according to the change amplitude of the change in power.

[0063] Screening the working nodes and the connecting nodes according to the power change trend to obtain the load nodes can dynamically identify key nodes with high power load in the future power grid state, predict the change in power of each load node according to the future power grid plan, and determine the corrected site selection data accordingly, which can more accurately predict the actual demand of each node for energy storage, and through prediction of the future power consumption and correction of the site selection data, the power grid has stronger response capability when facing possible power fluctuations and changes in the future.

[0064]

Fourth embodiment

[0065] Referring to Figure 3 In a specific embodiment, the cable equipment corresponding to the corrected site selection data is obtained, and the energy storage demand corresponding to the corrected site selection data is calculated according to the historical power consumption of the cable equipment, specifically including:

[0066] S310, obtaining the power peak period of the target region in each natural year according to the fluctuation of the historical power consumption;

[0067] S320, screening the cable equipment according to the power consumption of the cable equipment in the power peak period to obtain the target cable;

[0068] S330, calculating the energy storage demand of the target cable according to the time proportion of the power peak period and the excess power in the power peak period.

[0069] In step S310, the power peak period refers to a specific period in which the power demand in the power system is significantly higher than the average level, which is usually determined by the social production and life rules, seasonal changes and regional power consumption characteristics. The power peak period of the target region in each natural year can be obtained by various methods, such as time series analysis of historical power consumption, identification of periodic changes in power consumption, and finding the peak period. The peak period can also be automatically identified by machine learning algorithm according to historical power consumption.

[0070] In step S320, generally, power supply shortage usually occurs in the power peak period. When the power consumption of the region served by the cable equipment is greater than the power supply, the load of the cable equipment will approach or exceed the load threshold. Therefore, the historical load of the cable equipment in the power peak period can be compared with the load threshold of the cable equipment, so as to obtain the target cable.

[0071] In step S330, according to step S310, the power peak period of the target cable in each natural day of a natural year can be obtained, and the duration of the power peak period of each natural day is added to obtain the cumulative duration of the power peak period. According to the ratio of the cumulative duration to the total duration of a natural year, the time proportion of the power peak period is obtained. Generally, the power consumption of each region changes continuously every year, so it is necessary to obtain the time proportion of the power peak period for three consecutive years, and according to the trend of the time proportion, the time proportion of the current power peak period is obtained.

[0072] Generally speaking, the larger the time proportion of the power consumption peak period, the greater the energy storage demand of the target cable is likely to be. In addition, the excess power can refer to the part of the total power consumption of the target cable in the power consumption peak period that exceeds the maximum stable power supply of the power grid, or the part of the maximum load of the target cable in the power consumption peak period that is greater than the load threshold, which can be determined according to the power consumption fluctuation of the target cable in the power consumption peak period. For example, when the peak of the load curve of the target cable in the power consumption peak period is sharp and narrow, the part of the maximum load of the target cable in the power consumption peak 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 in the power consumption peak period is smooth, the part of the total power consumption of the target cable in the power consumption peak period that exceeds the maximum stable power supply of the power grid can be used as the excess power.

[0073] The energy storage demand refers to the amount of power that needs to be adjusted and the time that needs to be adjusted. The amount of power that needs to be adjusted is related to the excess power, and the time that needs to be adjusted is related to the power consumption peak period. For example, the excess power of a certain target cable is 100KW, so the amount of power that needs to be adjusted is 100KW, and the power consumption peak period of this natural day is from 8am to 9am, so the time that needs to be adjusted is from 8am to 9am in the power consumption peak period of this natural day.

[0074] By obtaining the power consumption peak period of the target area in each natural year according to the fluctuation of historical power consumption, the time period with the most concentrated power demand in the target area can be accurately determined. The cable equipment is screened according to the power consumption of the cable equipment in the power consumption peak period to obtain the target cable, which helps to focus on the cable equipment with the most urgent energy storage demand. The time proportion of the power consumption peak period reflects the relative importance of this period in the whole year, and the excess power directly reflects the part of the power demand that exceeds the normal supply in the power consumption peak period. By comprehensively considering these two factors to calculate the energy storage demand, the energy storage demand of each target cable can be accurately determined, and resource waste caused by excessive energy storage configuration can be avoided.

[0075]

Fifth embodiment

[0076] Referring to Figure 4 In a specific embodiment, the cable equipment is screened according to the power consumption of the cable equipment in the power consumption peak period to obtain the target cable, specifically including:

[0077] S321, obtaining the historical load of the cable equipment in the power consumption peak period, and counting the load duration of the historical load greater than or equal to the load threshold;

[0078] S322, obtaining the number of times of the historical load of the cable equipment in the power consumption peak period being greater than or equal to the load threshold;

[0079] S323, screen the cable equipment according to the load duration, the load frequency and the total duration of the power consumption peak period, and obtain the target cable.

[0080] In step S323, the load duration represents the working state of the cable equipment, and the load frequency can represent the stability of the cable equipment. In general, in order to improve the utilization rate of the shared energy storage system, the total duration of the power consumption peak period is very important. The target area is divided into different power consumption areas according to the regional characteristics, for example, the target area is divided into manufacturing area, commercial area and technical industry area according to the industry type, and the power consumption peak period of different power consumption areas is obtained. According to the proportion of the total duration of the power consumption peak period in the total duration of one year, the power consumption areas can be preliminarily screened, and those power consumption areas with a proportion less than 20% are excluded.

[0081] The load threshold refers to the maximum load value allowed by the cable equipment under safe operation conditions. When the load amount 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 the frequency threshold can be set according to the parameters and the loss of the cable equipment, wherein the duration threshold refers to the longest duration that the cable equipment allows the load amount to be greater than the load threshold, and the frequency threshold refers to the number of times that the cable equipment allows the load amount to be greater than the load threshold. When the load duration is greater than or equal to the duration threshold or the load frequency is greater than or equal to the frequency threshold, the cable equipment is recorded as the target cable.

[0082] The load duration reflects the time that the cable equipment continuously operates in a high load state, and the load frequency reflects the frequency of the cable equipment in a high load state. By comprehensively screening these two indicators and the total duration of the power consumption peak period, the cable equipment that truly has a greater demand for energy storage can be more accurately identified.

[0083]

Sixth embodiment

[0084] Reference Figure 5 In a specific embodiment, the power supply units in the target area are obtained, and all the modified site selection data are planned according to the power supply capacity and the energy storage demand of the power supply units, to obtain the actual distribution of the grid-side shared energy storage. Specifically, it includes:

[0085] S410, obtain the historical uploaded power of the power supply unit, calculate the daily average power transmission of the power supply unit and the load power transmission of the power supply unit in the power consumption peak period;

[0086] S420, judge whether the energy storage demand of all the modified site selection data can be met according to the daily average power transmission and the load power transmission;

[0087] S430, if yes, combine the daily transmission power, the load transmission power and the energy storage demand of the corrected site selection data to form a shared energy storage group, and set the actual distribution point at each corrected site selection data;

[0088] S440, if no, determine the corrected site selection data to be deleted according to the daily transmission power, the load transmission power and the energy storage demand, and obtain the actual distribution point.

[0089] In step S410, the historical transmission power refers to the power that the power supply unit can provide for the power grid. The historical transmission power of the power supply unit can be obtained by relevant departments such as power companies. In general, the power supply unit refers to some units with distributed power sources. Since the power generation of the distributed power source is affected by environmental factors, the daily transmission power of the power supply unit in different months can be calculated by obtaining the historical transmission power in different months.

[0090] When the power supply unit has energy storage equipment, the load transmission power refers to the power that the power supply unit needs to adjust from the energy storage equipment during the peak power consumption period. In general, the power generation of some distributed power sources has certain spatiotemporal consistency with the power demand in space and time. For example, solar power generation mainly depends on sunlight and usually has maximum output in the daytime, while most household and commercial power consumption also has higher demand in the daytime, especially during the period with heavy loads such as air conditioning and lighting. In addition, in some cold regions, the wind speed is larger in winter, and the power demand is usually increased in winter. At this time, the distributed wind power and the power demand can be well synchronized, so the real-time power generation of the distributed power source may be less than the real-time power demand during the peak power consumption period. At this time, the power needs to be adjusted from the energy storage equipment for its own use.

[0091] When the power supply unit has no energy storage equipment, the load transmission power refers to the power that the power supply unit can provide for the power grid during the peak power consumption period.

[0092] In step S420, the peak power consumption of the target cable corresponding to all corrected site selection data in the peak power consumption period in different months is obtained according to 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 daily transmission power and the load transmission power. For example, the daily transmission power of a certain distributed energy source is 200 KWh, and the load transmission power is 50 KWh. Therefore, the power supply capacity of the power supply unit is 150 KWh.

[0093] When the power supply unit has no energy storage equipment, the power supply capacity of the power supply unit is obtained according to the size of the load transmission power. For example, the load transmission power of a certain distributed energy source is 100 KWh. Therefore, the power supply capacity of the power supply unit is 100 KWh.

[0094] It should be noted that when the power supply unit has no energy storage device, and the power generation is less than the power consumption, and the power needs to be obtained from the power grid, the power supply unit does not have power supply capacity during the power consumption peak period.

[0095] In step S430, when the power supply capacity of the power supply unit is greater than or equal to the energy storage demand of all the modified site data, the position of the new cable is determined according to whether the load node has a load margin, according to the size of the power demand of the branch connected by the target cable and whether the branch has a load margin, when the branch has a power demand and the branch has a load margin, the new cable can be directly connected to the branch, when the branch has a power demand and the branch has no load margin, the expansion of the target cable can be considered.

[0096] When the target area has multiple power supply units and multiple load nodes, the connection point of the new cable can be obtained by multiple calculation methods, which can be obtained by the following formula.

[0097] Taking the barycenter method as an example, it is assumed that there are n power supply units with coordinates (x i , y i ) and power supply capacity P i ; there are m power consumption units with coordinates (x' j , y' j ) and power consumption Q j , then the coordinate (x0, y0) of the connection point of the new cable is calculated as follows:

[0098] , ;

[0099] In addition, the connection point of the new cable can also be obtained by the minimum cost flow algorithm, which can be obtained by the following steps:

[0100] The set of power supply units is S={s1, s2,..., s m}, the power supply capacity of each power supply unit s i is Ps i , the set of load nodes is D={d1, d2,..., d n}, the power consumption of each load node d j is Q dj , and the geographical distance is the cable path L ij from the power supply unit s i to the load node d j .

[0101] ;

[0102] wherein, is the power supply unit s i to the load node d jThe power supply amount of the power supply unit, The cost of the cable per unit length.

[0103] ;

[0104] Wherein, The loss coefficient.

[0105] ;

[0106] Wherein, ∈{0,1}, indicates whether to establish a connection between si and dj, 1 is connected, 0 is not connected, the demand of each power unit must be met: , .

[0107] The daily average power transmission amount reflects the power supply level of the power supply unit under normal circumstances, and the load power transmission amount during the peak power consumption period reflects the power supply performance of the power supply unit during the peak power consumption period. According to the daily average power transmission amount and the load power transmission amount, the actual power supply capacity of the power supply unit can be more accurately understood, the shared energy storage group can be reasonably configured, the sharing and optimized use of energy storage resources can be realized, and the actual distribution of the grid side shared energy storage can be reasonably planned. The overall performance of the power grid can be improved, the pressure of the power grid can be effectively relieved, and the stability and reliability of the power grid can be improved.

[0108]

Seventh embodiment

[0109] In a specific embodiment, if no, the corrected site selection data to be deleted is determined according to the daily average power transmission amount, the load power transmission amount and the energy storage demand, and the actual distribution is obtained, which specifically includes:

[0110] S441, calculating the load difference value of the target area according to the daily average power transmission amount, the load power transmission amount and the energy storage demand;

[0111] S442, determining the target power supply amount of each corrected site selection data according to the weight coefficient of each corrected site selection data and the load difference value;

[0112] S443, when the target power supply amount is less than the supply threshold, deleting the corrected site selection data and reassigning the target power supply amount;

[0113] S444, obtaining the corrected site selection data after deletion to obtain the actual distribution.

[0114] In step S442, generally, when the energy storage demand of all the modified site selection data cannot be met, the modified site selection data with a smaller weight coefficient can be deleted, or all the modified site selection data can be powered according to the size of the weight coefficient, for example, the modified site selection data with a larger weight coefficient is preferentially met, and then the modified site selection data with a smaller weight coefficient is met, or the power supply amount can be allocated according to the size of the weight coefficient.

[0115] In step S443, in order to improve the utilization efficiency of the shared energy storage network, the supply threshold can be set according to the device parameters and the operating environment of the cable device, and the supply threshold refers to the minimum power supply amount required by the cable device when additional power supply is required during the power consumption peak period.

[0116] The quantified load difference provides a clear numerical basis for subsequent analysis and decision-making. The target supply power of each modified site selection data is determined according to the weight coefficient and the load difference of each modified site selection data, the importance of different modified site selection data in the target area is fully considered, the acceptable minimum power supply standard is determined by setting the supply threshold, the site selection points that do not meet the standard are timely eliminated, unnecessary energy storage device construction and resource investment in these positions are avoided, the actual distribution is more reasonable by eliminating those site selection points that cannot meet the power supply requirements, 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

[0117] [The eighth embodiment]

[0118] In one specific embodiment, the target supply power of each modified site selection data is determined according to the weight coefficient and the load difference of each modified site selection data, and specifically includes:

[0119] S442a, obtaining the actual power consumption of each modified site selection data, calculating the first coefficient of the modified site selection data according to the actual power consumption and the load threshold;

[0120] S442b, predicting the future power change range of the modified site selection data according to the future power grid plan, and determining the second coefficient according to the future power change range;

[0121] S442c, calculating the weight coefficient of the modified site selection data according to the first coefficient and the second coefficient, and distributing the energy storage demand according to the weight coefficient to obtain the target supply power.

[0122] In step S442a, the maximum load of each modified site selection data during the power consumption peak period is obtained, denoted as F1, the load threshold is denoted as F2, and the first coefficient is denoted as V1. Then, the following relationship exists between V1, F1 and F2:

[0123] V1=F1-F2;

[0124] For example, if the actual load of the modified site selection data is 30KW and the load threshold is 25KW, the first coefficient is 5KW.

[0125] In step S442b, generally, the second coefficient can be obtained according to the variation range of the average load in the next three years. For example, if the actual load of the modified site selection data is 30KW, the loads in the next three years are 32KW, 33KW and 34KW respectively, and the load threshold is 25KW, the second coefficient is 3KW.

[0126] In step S442c, generally, because the specifications of the cable equipment are different, the load thresholds are also different, so the size of the energy storage demand of the cable equipment needs to be obtained according to the ratio of the amount of the cable equipment exceeding the load threshold to the load threshold, i.e. the initial weight coefficient. The initial weight coefficient can be obtained by the following formula:

[0127] V=(V1+V2) / F2;

[0128] Wherein, V2 is the second coefficient, and V is the initial weight coefficient.

[0129] The initial weight coefficient of each modified site selection data is normalized to obtain the weight coefficient of the modified site selection data, and the target supply power is obtained according to the product of the weight coefficient and the power supply capacity.

[0130] By obtaining the actual power consumption of each modified site selection data, and calculating the first coefficient of the modified site selection data according to the actual power consumption and the load threshold, the relative importance of each site selection point can be measured from the actual power consumption, the future power change range of the modified site selection data is predicted according to the future power grid plan, and the second coefficient is determined accordingly, which gives the site selection planning with dynamic and forward-looking. The weight coefficient of the modified site selection data is calculated according to the first coefficient and the second coefficient, and the current actual power consumption and future development trend are comprehensively considered, so that the determination of the weight coefficient is more scientific and reasonable. Different weight coefficients of the modified site selection data correspond to different target supply powers, so that the power supply capacity can be more effectively matched with the actual demand and development potential of each site selection point.

[0131] Although the present application is disclosed as above, the present application is not limited thereto. Any person skilled in the art, without departing from the spirit and scope of the present application, can make various changes and modifications, therefore the protection scope of the present application should be limited by the scope defined by the claims.

Claims

1. A method for siting a grid-side flywheel energy storage considering source grid demand, characterized in that, The distribution method comprises: determining pre-addressing data of grid-side shared energy storage according to energy storage demand of a target area and topology structure of cable equipment in the target area; predicting future power consumption of the target area, and correcting the pre-addressing data according to the future power consumption to obtain corrected addressing data; obtaining cable equipment corresponding to the corrected addressing data, and calculating energy storage demand corresponding to the corrected addressing data according to historical power consumption of the cable equipment; obtaining power supply units in the target area, and planning all the corrected addressing data according to power supply capacity of the power supply units and the energy storage demand to obtain actual distribution of the grid-side shared energy storage, comprising: obtaining historical uploaded power consumption of the power supply units, calculating daily average transmitted power consumption of the power supply units and load transmitted power consumption of the power supply units in a power consumption peak period; judging whether the energy storage demand of all the corrected addressing data can be met according to the daily average transmitted power consumption and the load transmitted power consumption; if yes, combining the daily average transmitted power consumption, the load transmitted power consumption and the energy storage demand of the corrected addressing data to form a shared energy storage group, and setting the actual distribution at each of the corrected addressing data; if no, determining the corrected addressing data that needs to be deleted according to the daily average transmitted power consumption, the load transmitted power consumption and the energy storage demand to obtain the actual distribution; the if no, determining the corrected addressing data that needs to be deleted according to the daily average transmitted power consumption, the load transmitted power consumption and the energy storage demand to obtain the actual distribution, specifically comprising: calculating a load difference value of the target area according to the daily average transmitted power consumption, the load transmitted power consumption and the energy storage demand; determining target supply power consumption of each of the corrected addressing data according to a weight coefficient of each of the corrected addressing data and the load difference value; when the target supply power consumption is less than a supply threshold, deleting the corrected addressing data and re-distributing the target supply power consumption; obtaining the corrected addressing data after deletion to obtain the actual distribution.

2. The siting method of claim 1, wherein, the determining pre-addressing data of grid-side shared energy storage according to energy storage demand of a target area and topology structure of cable equipment in the target area, specifically comprising: according to maximum power consumption of each of the cable equipment in the target area, recording cable equipment with maximum power consumption greater than a load threshold as load cable; obtaining working nodes of the load cable and connection nodes of a plurality of the load cable, and determining the pre-addressing data according to the working nodes and the connection nodes.

3. The siting method of claim 2, wherein, the predicting future power consumption of the target area, and correcting the pre-addressing data according to the future power consumption to obtain corrected addressing data, specifically comprising: obtaining a future power grid plan in the target area, and determining power consumption 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 consumption change trend to obtain load nodes; predicting change power consumption of each of the load nodes according to the future power grid plan, and determining the corrected addressing data according to the change power consumption.

4. The siting method of claim 3, wherein, The method comprises the following steps: According to the fluctuation of the historical power consumption, the power consumption peak period of the target area in each natural year is obtained; According to the power consumption of the cable equipment in the power consumption peak period, the cable equipment is screened to obtain a target cable; According to the time proportion of the power consumption peak period and the excess power in the power consumption peak period, the energy storage demand of the target cable is calculated.

5. The siting method of claim 4, wherein, The method comprises the following steps: The historical load of the cable equipment in the power consumption peak period is obtained, and the load duration of the historical load greater than or equal to the load threshold is counted; The number of times of the historical load greater than or equal to the load threshold in the power consumption peak period of the cable equipment is obtained; According to the load duration, the number of times of the load and the total duration of the power consumption peak period, the cable equipment is screened to obtain the target cable.

6. The siting method of claim 5, wherein, The method comprises the following steps: The actual power consumption of each modified site selection data is obtained, and the first coefficient of the modified site selection data is calculated according to the actual power consumption and the load threshold; According to the future power grid plan, the future power change range of the modified site selection data is predicted, and the second coefficient is determined according to the future power change range; The weight coefficient of the modified site selection data is calculated according to the first coefficient and the second coefficient, the energy storage demand is distributed according to the weight coefficient, and the target supply power is obtained.

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