Energy storage power supply coordinated operation optimization method and system based on multi-source fusion

Abstract

The present invention relates to the field of energy storage power coordination technology, a method and system for optimizing coordinated operation of energy storage power based on multi-source fusion, including: calculating a multi-source fusion power field strength set according to the average daily power consumption and the multi-source power field formula, constructing an energy storage power site combination set according to the energy storage power number set and the power coordination lattice area, calculating a multi-source fusion power supply field strength set according to the energy storage power site combination and the multi-source power supply field formula, calculating the electric field matching degree set of the multi-source fusion power field strength set and the multi-source fusion power supply field strength set, identifying the target energy storage power site combination corresponding to the maximum matching degree, arranging energy storage power stations according to the target energy storage power site combination, obtaining a lattice energy storage power station, and supplying power to the power-consuming household site set according to the lattice energy storage power station. The present invention can solve the problems of poor location distribution and poor power supply coordination of current energy storage power sources.

Description

Technical Field

[0001] The present invention relates to the field of energy storage power supply coordination technology, and in particular to an energy storage power supply coordinated operation optimization method and system based on multi-source fusion. Background Art

[0002] With the development and utilization of clean energy, renewable energy such as wind energy and solar energy are gradually replacing traditional energy due to their clean and renewable characteristics, becoming an important part of energy supply. However, these renewable energy sources are intermittent and volatile, and their power generation and output are affected by weather conditions and day and night cycles, which poses a severe challenge to the safe and stable operation of the power grid.

[0003] In remote mountainous areas, islands and other areas where power grids are difficult to cover or power supply costs are high, multiple energy storage power stations can be used as the main or only source of electricity. These energy storage power stations can convert light or wind energy into electrical energy through solar panels, wind turbines and other equipment, and store it in batteries for use by local residents or facilities. However, at present, multiple energy storage power stations are not fully combined with the power consumption characteristics of residential power facilities to distribute and regulate, resulting in unnecessary line losses and other problems. Therefore, the current energy storage power supply has problems such as poor location distribution and poor power supply coordination. Summary of the invention

[0004] The present invention provides a method and system for optimizing the coordinated operation of energy storage power supplies based on multi-source fusion, the main purpose of which is to solve the problems of poor location distribution and poor power supply coordination of current energy storage power supplies.

[0005] To achieve the above object, the present invention provides a method for optimizing coordinated operation of energy storage power sources based on multi-source fusion, comprising:

[0006] Obtain the electricity consumption household location set and power supply coordination dot matrix area, and identify the daily average electricity consumption of the electricity consumption household location;

[0007] According to the average daily power consumption and the pre-constructed multi-source power field formula, the multi-source fusion power field strength of each regional point in the power coordination lattice area is calculated to obtain a multi-source fusion power field strength set, wherein the multi-source power field formula is as follows:

[0008] ,

[0009] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site;

[0010] Acquire an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites;

[0011] The energy storage power supply site combinations are sequentially extracted from the energy storage power supply site combination set, and the multi-source fusion power supply field strength of each regional site in the power coordination lattice area is calculated according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows:

[0012] ,

[0013] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites;

[0014] Calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency;

[0015] Arrange energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and supply power to the electricity-consuming household site set according to the dot matrix energy storage power station;

[0016] Optionally, the power coordination dot matrix area is obtained as follows:

[0017] Obtain the power coordination area and unit dot spacing;

[0018] Constructing a regional lattice grid according to the unit lattice spacing;

[0019] Gridding the power coordination area using the regional dot grid to obtain a power grid area;

[0020] A power grid point set is identified in the power grid area, and a power array site set is set in the power coordination area according to the power grid point set to obtain a power coordination dot matrix area.

[0021] Optionally, the identifying the average daily electricity consumption of the electricity-consuming household location includes:

[0022] Obtain a historical electricity consumption curve set of the electricity consumption household site, and extract the fitted electricity consumption time in the preset fitted electricity consumption time series in sequence, wherein the historical electricity consumption curve set refers to a set of past single-day electricity consumption curves, the independent variable of the single-day electricity consumption curve is time, and the dependent variable is electricity consumption;

[0023] Extracting a historical power consumption set from the historical power consumption curve set according to the fitted power consumption time, and calculating the historical power consumption mean of the fitted power consumption time according to the historical power consumption set to obtain a historical power consumption mean set;

[0024] Fitting the daily average electricity consumption curve of the electricity-consuming household location according to the historical electricity consumption mean value set;

[0025] The integral of the daily average power consumption curve with respect to time is calculated to obtain the daily average power consumption.

[0026] Optionally, constructing the energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area includes:

[0027] Sorting the power array site set in the power coordination dot matrix area to obtain a power array site sequence, wherein the number of power array sites in the power array site sequence is m;

[0028] Setting an energy storage power source number sequence according to the energy storage power source number set, wherein the number of energy storage power source numbers in the energy storage power source number sequence is n;

[0029] Setting a tree-like allocation level sequence according to the energy storage power source number sequence;

[0030] Setting a first-level leaf node sequence, a second-level leaf node sequence, ..., an nth-level leaf node sequence according to the power array site sequence;

[0031] An initial site allocation tree diagram is constructed according to the first-level leaf node sequence, the second-level leaf node sequence, ..., the nth-level leaf node sequence and the tree-like allocation level sequence, wherein the number of leaf nodes in the initial site allocation tree diagram is , express The product of m;

[0032] The initial site allocation tree diagram is repeated and deleted to obtain a target site allocation tree diagram, wherein the number of leaf nodes in the target site allocation tree diagram is ;

[0033] Energy storage power source site combinations are sequentially extracted from the target site allocation tree diagram to obtain an energy storage power source site combination set.

[0034] Optionally, the step of performing duplication removal on the initial site allocation tree diagram to obtain a target site allocation tree diagram comprises:

[0035] Identify leaf nodes in the initial site allocation tree diagram in sequence, and identify power site allocation paths of the leaf nodes;

[0036] Obtaining a power array site sequence number set on the power site allocation path, and determining whether there is a duplicate array site sequence number in the power array site sequence number set;

[0037] If there are duplicate array site numbers in the power array site number set, the power site allocation path is deleted from the initial site allocation tree diagram, and it is determined whether the leaf node has been extracted;

[0038] If the leaf nodes have not been extracted, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram;

[0039] If there is no duplicate array site number in the power array site number set, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram;

[0040] If the leaf nodes are extracted, a target site allocation tree diagram is obtained.

[0041] Optionally, the calculating the electric field consistency between the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set includes:

[0042] Extract regional sites in the power coordination dot matrix area in sequence, and identify the power consumption field strength and the power supply field strength in the multi-source fusion power consumption field strength set and the multi-source fusion power supply field strength set according to the regional sites;

[0043] According to the electric field strength and the power supply field strength, the site matching degree is calculated using a pre-constructed electric field matching degree formula to obtain a site matching degree set;

[0044] The site matching degree set is cumulatively calculated to obtain the electric field matching degree.

[0045] Optionally, the electric field conformity formula is as follows:

[0046] ,

[0047] in, represents the electric field fit of the p-th regional site, represents the first regulation index, represents the second regulation index, Represents the site matching threshold.

[0048] Optionally, supplying power to the set of electricity-consuming household sites according to the dot matrix energy storage power station includes:

[0049] Receive the household sites with electricity demand according to the electricity demand household sites set, and sort the dot matrix energy storage power stations by distance according to the household sites with electricity demand to obtain an energy storage power station sequence;

[0050] sequentially extracting energy storage power stations from the energy storage power station sequence;

[0051] Determining whether the energy storage power station meets the preset power supply standard;

[0052] If the energy storage power station does not meet the power supply standard, return to the above step of sequentially extracting energy storage power stations from the energy storage power station sequence;

[0053] If the energy storage power station meets the power supply standard, the energy storage power station is used to supply power to the residents at the electricity demand points.

[0054] Optionally, the determining whether the energy storage power station meets a preset power supply standard includes:

[0055] Identify the daily average power demand of the household location with power demand;

[0056] Identifying the remaining power of the energy storage power station;

[0057] Determine whether the remaining power of the energy storage power station is greater than the average daily power demand;

[0058] If the remaining power of the energy storage power station is greater than the average daily power demand, the energy storage power station meets the power supply standard;

[0059] If the remaining power of the energy storage power station is not greater than the average daily power demand, the energy storage power station does not meet the power supply standard.

[0060] To achieve the above object, the present invention also provides a storage power supply coordinated operation optimization system based on multi-source fusion, comprising:

[0061] The electric field strength calculation module is used to obtain the electricity household site set and the power coordination dot matrix area, identify the daily average power consumption of the electricity household site; calculate the multi-source fusion electric field strength of each regional site in the power coordination dot matrix area according to the average daily power consumption and the pre-constructed multi-source electric field formula, and obtain the multi-source fusion electric field strength set, wherein the multi-source electric field formula is as follows:

[0062] ,

[0063] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site;

[0064] The power supply field strength calculation module is used to obtain an energy storage power supply number set, and construct an energy storage power supply site combination set according to the energy storage power supply number set and the power coordination lattice area, wherein the number of energy storage power supply numbers in the energy storage power supply number set is the number of energy storage power supply sites; sequentially extract energy storage power supply site combinations from the energy storage power supply site combination set, and calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows:

[0065] ,

[0066] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites;

[0067] The target energy storage power supply site combination identification module is used to calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power supply site combination corresponding to the maximum consistency;

[0068] The power supply module is coordinated to arrange energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and supply power to the electricity-consuming household site set according to the dot matrix energy storage power station.

[0069] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0070] A memory storing at least one instruction; and a processor executing the instruction stored in the memory to implement the above-mentioned energy storage power supply coordinated operation optimization method based on multi-source fusion.

[0071] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is executed by a processor in an electronic device to implement the above-mentioned energy storage power supply coordinated operation optimization method based on multi-source fusion.

[0072] In order to solve the problems described in the background technology, the present invention first uses a multi-source fusion electric field strength set to represent the multi-source fusion electric field strength of each regional site. Since the size of the multi-source fusion electric field strength is related to the average daily power consumption and power consumption distance of the power-consuming household micro-single, the power-consuming household site set and the power coordination dot matrix area can be obtained first, and then the average daily power consumption of the power-consuming household site can be identified. Finally, the multi-source fusion electric field strength of each regional site in the power coordination dot matrix area is calculated according to the average daily power consumption and the pre-constructed multi-source electric field formula to obtain the multi-source fusion electric field strength set. At this time, the multi-source fusion power supply field strength of the regional site can be calculated. Since there are multiple energy storage power supply numbers and multiple regional sites, there are multiple different energy storage power supply site combinations of energy storage power supply numbers and regional sites. Before obtaining each energy storage power supply site combination, the energy storage power supply number set is first obtained, and then the energy storage power supply number set and the power coordination dot matrix area are constructed. The power supply site combination set, at this time, it is only necessary to extract the energy storage power supply site combination in the energy storage power supply site combination set in turn, and then calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula, so as to obtain the multi-source fusion power supply field strength of each energy storage power supply site combination. Since it is necessary to select an optimal target energy storage power supply site combination in the energy storage power supply site combination set, it is necessary to calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain the electric field consistency set, and then identify the maximum consistency in the electric field consistency set, and obtain the target energy storage power supply site combination by identifying the target energy storage power supply site combination corresponding to the maximum consistency. Finally, the energy storage power station is arranged according to the target energy storage power supply site combination to obtain the lattice energy storage power station. At this time, the lattice energy storage power station can be used to supply power to the electricity-consuming household site set. Therefore, the present invention can solve the problem that the current energy storage power supply has poor location distribution and poor power supply coordination. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 A schematic diagram of a flow chart of a method for optimizing coordinated operation of energy storage power sources based on multi-source fusion provided in one embodiment of the present invention;

[0074] Figure 2 A target site allocation tree diagram provided by an embodiment of the present invention;

[0075] Figure 3A functional module diagram of a system for optimizing coordinated operation of energy storage power supplies based on multi-source fusion provided by an embodiment of the present invention;

[0076] Figure 4 A schematic diagram of the structure of an electronic device for implementing the energy storage power supply coordinated operation optimization method based on multi-source fusion provided in one embodiment of the present invention.

[0077] Description of reference numerals:

[0078] 1. Electronic device; 10. Processor; 11. Memory; 12. Bus.

[0079] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0080] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0081] The embodiment of the present application provides a method for optimizing the coordinated operation of energy storage power supplies based on multi-source fusion. The execution subject of the method for optimizing the coordinated operation of energy storage power supplies based on multi-source fusion includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for optimizing the coordinated operation of energy storage power supplies based on multi-source fusion can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0082] Reference Figure 1 FIG. 1 is a flow chart of a method for optimizing coordinated operation of energy storage power supplies based on multi-source fusion provided by an embodiment of the present invention. In this embodiment, the method for optimizing coordinated operation of energy storage power supplies based on multi-source fusion includes:

[0083] S1. Obtain a set of electricity-consuming household locations and a power supply coordination matrix area, and identify the average daily electricity consumption of the electricity-consuming household locations.

[0084] It can be understood that the electricity-using household site set refers to the set of household locations in the power coordination area, the power coordination dot matrix area refers to the power coordination area for setting the power array site set, and the power array site set refers to the optional site set of energy storage power sources. The power coordination area refers to the power consumption area where the energy storage power source site is to be set.

[0085] In the embodiment of the present invention, the power coordination dot matrix area is obtained in the following manner:

[0086] Obtain the power coordination area and unit dot spacing;

[0087] Constructing a regional lattice grid according to the unit lattice spacing;

[0088] Gridding the power coordination area using the regional dot grid to obtain a power grid area;

[0089] A power grid point set is identified in the power grid area, and a power array site set is set in the power coordination area according to the power grid point set to obtain a power coordination dot matrix area.

[0090] Furthermore, the unit lattice spacing refers to the optional site spacing of the energy storage power source, for example: 5km. The regional lattice grid refers to a grid whose minimum grid unit side length is equal to the unit lattice spacing. When the unit lattice spacing is 5km, the regional lattice grid is composed of multiple square grid units with a side length of 5km.

[0091] It can be explained that the power grid area refers to the power coordination area after the area grid is divided. The power coordination area is usually an irregular polygon.

[0092] In the embodiment of the present invention, the identifying the average daily power consumption of the electricity-consuming household location includes:

[0093] Obtain a historical electricity consumption curve set of the electricity consumption household site, and extract the fitted electricity consumption time in the preset fitted electricity consumption time series in sequence, wherein the historical electricity consumption curve set refers to a set of past single-day electricity consumption curves, the independent variable of the single-day electricity consumption curve is time, and the dependent variable is electricity consumption;

[0094] Extracting a historical power consumption set from the historical power consumption curve set according to the fitted power consumption time, and calculating the historical power consumption mean of the fitted power consumption time according to the historical power consumption set to obtain a historical power consumption mean set;

[0095] Fitting the daily average electricity consumption curve of the electricity-consuming household location according to the historical electricity consumption mean value set;

[0096] The integral of the daily average power consumption curve with respect to time is calculated to obtain the daily average power consumption.

[0097] It should be understood that the past daily electricity consumption curve set refers to the curve set of the change of electricity consumption of the residents in a single day over time at the electricity consumption household point in the past period of time. For example, the electricity consumption from 0:00 to 0:01 is 1 kWh; the electricity consumption from 0:01 to 0:02 is 1.5 kWh; the electricity consumption from 0:02 to 0:03 is 4 kWh, then the coordinate points corresponding to the coordinate points (0:00:30, 1), (0:01:30, 1.5), (0:02:30, 4) are fitted. The time range of the daily electricity consumption curve is from 0:00 of the previous day to 0:00 of the next day.

[0098] In detail, the fitted electricity consumption time series refers to the time series that fits the daily average electricity consumption curve. For example, if the time series that fits the daily average electricity consumption curve is 5 minutes, then the fitted electricity consumption time series can be 0:00, 0:05, 0:10, 0:15, and so on.

[0099] It can be understood that the historical power consumption set refers to the power consumption set of the historical power consumption curve concentrated at the fitting power consumption time. The historical power consumption mean refers to the average value of the historical power consumption set. The daily average power consumption curve refers to the curve of power consumption over time in a unit time (which can be 1 minute) in a single day.

[0100] S2. Calculate the multi-source fusion electric field strength of each regional point in the power coordination lattice area according to the average daily power consumption and the pre-constructed multi-source electric field formula to obtain a multi-source fusion electric field strength set.

[0101] Furthermore, the regional site refers to the power array site within the power coordination matrix area. The multi-source fusion power intensity refers to the power demand intensity of the power user site set for the regional site. See the following embodiment for details.

[0102] In detail, the multi-source electric field formula is as follows:

[0103] ,

[0104] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site.

[0105] Furthermore, the field strength index can be set by the user to adjust the magnitude of the multi-source fusion power field strength. The closer the distance between the power-consuming household site and the regional site, and the greater the average daily power consumption, the greater the power demand intensity of the power-consuming household site for the regional site. For example, when the residents at a certain regional site are denser and the power consumption of each household is greater, when the regional site sets an energy storage power supply, the residents' power consumption intensity for the energy storage power supply will be greater.

[0106] S3. Acquire an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power coordination lattice area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites.

[0107] It can be understood that the energy storage power source number set refers to the number set of energy storage power source sites to be set in the power coordination area, and the number of energy storage power source sites refers to the number of energy storage power source sites to be set in the power coordination area. For example: if 5 energy storage power source sites are to be set in the power coordination area, the number of energy storage power source sites is 5. The energy storage power source site combination set refers to the energy storage power source number combination set at different power array sites.

[0108] In an embodiment of the present invention, the step of constructing an energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area includes:

[0109] Sorting the power array site set in the power coordination dot matrix area to obtain a power array site sequence, wherein the number of power array sites in the power array site sequence is m;

[0110] Setting an energy storage power source number sequence according to the energy storage power source number set, wherein the number of energy storage power source numbers in the energy storage power source number sequence is n;

[0111] Setting a tree-like allocation level sequence according to the energy storage power source number sequence;

[0112] Setting a first-level leaf node sequence, a second-level leaf node sequence, ..., an nth-level leaf node sequence according to the power array site sequence;

[0113] An initial site allocation tree diagram is constructed according to the first-level leaf node sequence, the second-level leaf node sequence, ..., the nth-level leaf node sequence and the tree-like allocation level sequence, wherein the number of leaf nodes in the initial site allocation tree diagram is , express The product of m;

[0114] The initial site allocation tree diagram is repeated and deleted to obtain a target site allocation tree diagram, wherein the number of leaf nodes in the target site allocation tree diagram is ;

[0115] Energy storage power source site combinations are sequentially extracted from the target site allocation tree diagram to obtain an energy storage power source site combination set.

[0116] It can be understood that when the power array site set is site 1, site 2, site 3, and site 4, the power array site sequence is site 1, site 2, site 3, and site 4, and m = 4. When the energy storage power source number set is a, b, and c, the energy storage power source number sequence is a, b, and c, and n = 3. The tree allocation hierarchical sequence refers to a tree diagram hierarchical sequence for allocating sites to energy storage power source numbers, the first-level leaf node sequence refers to a power array site sequence at the first level in the initial site allocation tree diagram, the second-level leaf node sequence refers to a power array site sequence at the second level in the initial site allocation tree diagram, the nth-level leaf node sequence refers to a power array site sequence at the nth level in the initial site allocation tree diagram, when the power array site sequence is site No. 1, site No. 2, site No. 3, and site No. 4, the first-level leaf node sequence is 1, 2, 3, 4; the second-level leaf node sequence is 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 3, 4 (i.e., 4 groups of 1, 2, 3, 4 arranged in sequence); the third-level leaf node sequence is 16 groups of 1, 2, 3, 4 arranged in sequence, at this time, the number of leaf nodes (i.e., the power array sites of the last level) in the initial site allocation tree diagram is .

[0117] It should be understood that since the energy storage power supply site combination corresponding to the same leaf node in the initial site allocation tree diagram may be repeated, for example: 1, 1, 3; 1, 2, 2; 2, 2, 3, etc., it is necessary to delete the duplication. The target site allocation tree diagram refers to the initial site allocation tree diagram after duplication deletion. The target site allocation tree diagram can be found in Figure 3 shown.

[0118] In an embodiment of the present invention, the step of deleting duplications from the initial site allocation tree diagram to obtain a target site allocation tree diagram includes:

[0119] Identify leaf nodes in the initial site allocation tree diagram in sequence, and identify power site allocation paths of the leaf nodes;

[0120] Obtaining a power array site sequence number set on the power site allocation path, and determining whether there is a duplicate array site sequence number in the power array site sequence number set;

[0121] If there are duplicate array site numbers in the power array site number set, the power site allocation path is deleted from the initial site allocation tree diagram, and it is determined whether the leaf node has been extracted;

[0122] If the leaf nodes have not been extracted, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram;

[0123] If there is no duplicate array site number in the power array site number set, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram;

[0124] If the leaf nodes are extracted, a target site allocation tree diagram is obtained.

[0125] It can be understood that the power site allocation path refers to the path composed of the power array sites in each level. Figure 3 The power point allocation paths are 1, 2, 3, 1, 2, 4, 1, 3, 1, 3, 4, etc.

[0126] S4. Extract energy storage power source site combinations in the energy storage power source site combination set in turn, calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power source site combinations and a pre-constructed multi-source power supply field formula, and obtain a multi-source fusion power supply field strength set.

[0127] Understandable, see Figure 3 As shown, the energy storage power supply site combination can be: a-1, b-2, c-3, a-1, b-2, c-4, etc., a total of 24 combinations. The multi-source fusion power supply field strength refers to the power supply intensity of the energy storage power supply site combination to the regional site. See the following embodiment for details.

[0128] Furthermore, the multi-source power supply field formula is as follows:

[0129] ,

[0130] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage source site in the combination of regional sites and energy storage source sites.

[0131] It is understandable that the more energy storage power supply sites there are near a certain regional site, the greater the energy storage of the energy storage power supply sites, and the greater the power supply capacity of the regional site.

[0132] S5. Calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency.

[0133] It should be understood that the electric field matching refers to the suitability of the power supply of the multi-source fusion power supply field strength set to the multi-source fusion power supply field strength set. The greater the electric field matching, the more reasonable the combination of energy storage power source sites corresponding to the multi-source fusion power supply field strength set.

[0134] In the embodiment of the present invention, the calculating of the electric field consistency between the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set includes:

[0135] Extract regional sites in the power coordination dot matrix area in sequence, and identify the power consumption field strength and the power supply field strength in the multi-source fusion power consumption field strength set and the multi-source fusion power supply field strength set according to the regional sites;

[0136] According to the electric field strength and the power supply field strength, the site matching degree is calculated using a pre-constructed electric field matching degree formula to obtain a site matching degree set;

[0137] The site matching degree set is cumulatively calculated to obtain the electric field matching degree.

[0138] It can be explained that the electric field strength refers to the electric field strength at the site of the multi-source fusion electric field strength concentration area, and the power supply field strength refers to the power supply strength at the site of the multi-source fusion power supply field strength concentration area. The site matching degree refers to the degree of matching between the electric field strength at the regional site and the power supply field strength.

[0139] In the embodiment of the present invention, the electric field conformity formula is as follows:

[0140] ,

[0141] in, represents the electric field fit of the p-th regional site, represents the first regulation index, represents the second regulation index, Represents the site matching threshold.

[0142] S6. Deploy energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and supply power to the electricity-consuming household site set according to the dot matrix energy storage power station to complete the coordinated operation optimization of energy storage power sources based on multi-source fusion.

[0143] It can be understood that the dot matrix energy storage power station refers to a combination of energy storage power stations established according to the distribution of the target energy storage power source site combination.

[0144] In an embodiment of the present invention, supplying power to the set of electricity-consuming household points according to the dot matrix energy storage power station includes:

[0145] Receive the household sites with electricity demand according to the electricity demand household sites set, and sort the dot matrix energy storage power stations by distance according to the household sites with electricity demand to obtain an energy storage power station sequence;

[0146] sequentially extracting energy storage power stations from the energy storage power station sequence;

[0147] Determining whether the energy storage power station meets the preset power supply standard;

[0148] If the energy storage power station does not meet the power supply standard, return to the above step of sequentially extracting energy storage power stations from the energy storage power station sequence;

[0149] If the energy storage power station meets the power supply standard, the energy storage power station is used to supply power to the residents at the electricity demand points.

[0150] Furthermore, the electricity demand household site refers to a household site where electricity demand household sites are concentrated and electricity is needed. The energy storage power station sequence refers to a sequence of energy storage power stations arranged after the energy storage power stations are sorted in order of distance from the energy storage power station to the electricity demand household site from near to far.

[0151] In an embodiment of the present invention, the step of determining whether the energy storage power station meets a preset power supply standard includes:

[0152] Identify the daily average power demand of the household location with power demand;

[0153] Identifying the remaining power of the energy storage power station;

[0154] Determine whether the remaining power of the energy storage power station is greater than the average daily power demand;

[0155] If the remaining power of the energy storage power station is greater than the average daily power demand, the energy storage power station meets the power supply standard;

[0156] If the remaining power of the energy storage power station is not greater than the average daily power demand, the energy storage power station does not meet the power supply standard.

[0157] Furthermore, the daily average power demand refers to the daily average power consumption of the household with the power demand. When the energy storage power station does not meet the power supply standard, the remaining dot matrix energy storage power stations are continuously extracted from the energy storage power station sequence until an energy storage power station that meets the power supply standard is identified, and then the energy storage power station is used for power supply.

[0158] In order to solve the problems described in the background technology, the present invention first uses a multi-source fusion electric field strength set to represent the multi-source fusion electric field strength of each regional site. Since the size of the multi-source fusion electric field strength is related to the average daily power consumption and power consumption distance of the power-consuming household micro-single, the power-consuming household site set and the power coordination dot matrix area can be obtained first, and then the average daily power consumption of the power-consuming household site can be identified. Finally, the multi-source fusion electric field strength of each regional site in the power coordination dot matrix area is calculated according to the average daily power consumption and the pre-constructed multi-source electric field formula to obtain the multi-source fusion electric field strength set. At this time, the multi-source fusion power supply field strength of the regional site can be calculated. Since there are multiple energy storage power supply numbers and multiple regional sites, there are multiple different energy storage power supply site combinations of energy storage power supply numbers and regional sites. Before obtaining each energy storage power supply site combination, the energy storage power supply number set is first obtained, and then the energy storage power supply number set and the power coordination dot matrix area are constructed. The power supply site combination set, at this time, it is only necessary to extract the energy storage power supply site combination in the energy storage power supply site combination set in turn, and then calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula, so as to obtain the multi-source fusion power supply field strength of each energy storage power supply site combination. Since it is necessary to select an optimal target energy storage power supply site combination in the energy storage power supply site combination set, it is necessary to calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain the electric field consistency set, and then identify the maximum consistency in the electric field consistency set, and obtain the target energy storage power supply site combination by identifying the target energy storage power supply site combination corresponding to the maximum consistency. Finally, the energy storage power station is arranged according to the target energy storage power supply site combination to obtain the lattice energy storage power station. At this time, the lattice energy storage power station can be used to supply power to the electricity-consuming household site set. Therefore, the present invention can solve the problem that the current energy storage power supply has poor location distribution and poor power supply coordination.

[0159] like Figure 3 , which is a functional module diagram of a system for optimizing coordinated operation of energy storage power sources based on multi-source fusion provided by an embodiment of the present invention.

[0160] The energy storage power supply coordinated operation optimization system 100 based on multi-source fusion of the present invention can be installed in an electronic device. According to the functions implemented, the energy storage power supply coordinated operation optimization system 100 based on multi-source fusion can include an electric field strength calculation module 101, a power supply field strength calculation module 102, a target energy storage power supply site combination identification module 103 and a coordinated operation power supply module 104. The module described in the present invention can also be called a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0161] The electric field strength calculation module 101 is used to obtain a set of electric household sites and a power coordination dot matrix area, identify the daily average power consumption of the electric household sites; calculate the multi-source fusion electric field strength of each regional site in the power coordination dot matrix area according to the daily average power consumption and the pre-constructed multi-source electric field formula, and obtain a multi-source fusion electric field strength set, wherein the multi-source electric field formula is as follows:

[0162] ,

[0163] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site;

[0164] The power supply field strength calculation module 102 is used to obtain an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power coordination lattice area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites; sequentially extract energy storage power source site combinations from the energy storage power source site combination set, and calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power source site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows:

[0165] ,

[0166] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites;

[0167] The target energy storage power source site combination identification module 103 is used to calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency;

[0168] The coordinated operation power supply module 104 is used to deploy energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and supply power to the electricity-consuming household site set according to the dot matrix energy storage power station.

[0169] In detail, each module in the energy storage power supply coordinated operation optimization system 100 based on multi-source fusion in the embodiment of the present invention adopts the same method as above when used. Figure 1 The technical means are the same as the method for optimizing coordinated operation of energy storage power sources based on multi-source fusion described in , and can produce the same technical effects, so they will not be repeated here.

[0170] like Figure 4 , is a schematic diagram of the structure of an electronic device for implementing a method for optimizing coordinated operation of energy storage power sources based on multi-source fusion provided by an embodiment of the present invention.

[0171] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a method program for optimizing the coordinated operation of energy storage power sources based on multi-source fusion.

[0172] The memory 11 includes at least one type of readable storage medium, including flash memory, mobile hard disk, multimedia card, card-type memory (e.g., SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 may be an internal storage unit of the electronic device 1, such as a mobile hard disk of the electronic device 1. In other embodiments, the memory 11 may also be an external storage device of the electronic device 1, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 1. Further, the memory 11 also includes an internal storage unit of the electronic device 1 and an external storage device. The memory 11 can not only be used to store application software and various types of data installed in the electronic device 1, such as the code of the coordinated operation optimization method program of the energy storage power supply based on multi-source fusion, but also can be used to temporarily store data that has been output or is to be output.

[0173] The processor 10 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of packaged integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 10 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect various components of the entire electronic device, and executes or executes programs or modules stored in the memory 11 (such as a program for optimizing the coordinated operation of energy storage power sources based on multi-source fusion, etc.), and calls data stored in the memory 11, so as to execute various functions of the electronic device 1 and process data.

[0174] The bus 12 may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 may be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize connection and communication between the memory 11 and at least one processor 10, etc.

[0175] Figure 4 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 4 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0176] For example, although not shown, the electronic device 1 may also include a power source (such as a battery) for supplying power to various components. Preferably, the power source may be logically connected to the at least one processor 10 through a power management device, so that the power management device can realize functions such as charging management, discharging management, and power consumption management. The power source may also include one or more DC or AC power sources, recharging devices, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0177] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 1 and other electronic devices.

[0178] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 1 and to display a visual user interface.

[0179] The program of the energy storage power supply coordinated operation optimization method based on multi-source fusion stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When running in the processor 10, it can achieve:

[0180] Obtain the electricity consumption household location set and power supply coordination dot matrix area, and identify the daily average electricity consumption of the electricity consumption household location;

[0181] According to the average daily power consumption and the pre-constructed multi-source power field formula, the multi-source fusion power field strength of each regional point in the power coordination lattice area is calculated to obtain a multi-source fusion power field strength set, wherein the multi-source power field formula is as follows:

[0182] ,

[0183] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site;

[0184] Acquire an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites;

[0185] The energy storage power supply site combinations are sequentially extracted from the energy storage power supply site combination set, and the multi-source fusion power supply field strength of each regional site in the power coordination lattice area is calculated according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows:

[0186] ,

[0187] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites;

[0188] Calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency;

[0189] Energy storage power stations are arranged according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and the dot matrix energy storage power station is used to supply power to the electricity-consuming household site set, thereby completing the coordinated operation optimization of energy storage power sources based on multi-source fusion.

[0190] Specifically, the specific implementation method of the processor 10 for the above instructions can refer to Figures 1 to 4 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0191] Furthermore, if the module / unit integrated in the electronic device 1 is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0192] The present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor of an electronic device, the computer program can implement:

[0193] Obtain the electricity consumption household location set and power supply coordination dot matrix area, and identify the daily average electricity consumption of the electricity consumption household location;

[0194] According to the average daily power consumption and the pre-constructed multi-source power field formula, the multi-source fusion power field strength of each regional point in the power coordination lattice area is calculated to obtain a multi-source fusion power field strength set, wherein the multi-source power field formula is as follows:

[0195] ,

[0196] in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site;

[0197] Acquire an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites;

[0198] The energy storage power supply site combinations are sequentially extracted from the energy storage power supply site combination set, and the multi-source fusion power supply field strength of each regional site in the power coordination lattice area is calculated according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows:

[0199] ,

[0200] in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites;

[0201] Calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency;

[0202] Energy storage power stations are arranged according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and the dot matrix energy storage power station is used to supply power to the electricity-consuming household site set, thereby completing the coordinated operation optimization of energy storage power sources based on multi-source fusion.

[0203] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only illustrative, and actual implementation may have other division methods.

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

[0205] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0206] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0207] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for optimizing the coordinated operation of energy storage power sources based on multi-source fusion, characterized in that: The method comprises: Obtain the electricity consumption household location set and power supply coordination dot matrix area, and identify the daily average electricity consumption of the electricity consumption household location; According to the average daily power consumption and the pre-constructed multi-source power field formula, the multi-source fusion power field strength of each regional point in the power coordination lattice area is calculated to obtain a multi-source fusion power field strength set, wherein the multi-source power field formula is as follows: ， in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site; Acquire an energy storage power source number set, and construct an energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area, wherein the number of energy storage power source numbers in the energy storage power source number set is the number of energy storage power source sites; The energy storage power supply site combinations are sequentially extracted from the energy storage power supply site combination set, and the multi-source fusion power supply field strength of each regional site in the power coordination lattice area is calculated according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows: ， in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites; Calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power source site combination corresponding to the maximum consistency; Deploy energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, supply power to the electricity-consuming household site set according to the dot matrix energy storage power station, and complete the coordinated operation optimization of energy storage power sources based on multi-source fusion; The calculating of the electric field consistency between the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set includes: Extract regional sites in the power coordination dot matrix area in sequence, and identify the power consumption field strength and the power supply field strength in the multi-source fusion power consumption field strength set and the multi-source fusion power supply field strength set according to the regional sites; According to the electric field strength and the power supply field strength, the site matching degree is calculated using a pre-constructed electric field matching degree formula to obtain a site matching degree set; Accumulating and calculating the site matching degree set to obtain the electric field matching degree; The electric field conformity formula is as follows: ， in, represents the electric field fit of the p-th regional site, represents the first regulation index, represents the second regulation index, Represents the site matching threshold.

2. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 1, characterized in that: The method for obtaining the power coordination dot matrix area is as follows: Obtain the power coordination area and unit dot spacing; Constructing a regional lattice grid according to the unit lattice spacing; Gridding the power coordination area using the regional dot grid to obtain a power grid area; A power grid point set is identified in the power grid area, and a power array site set is set in the power coordination area according to the power grid point set to obtain a power coordination dot matrix area.

3. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 2, characterized in that: The daily average electricity consumption of the electricity-consuming household locations identified includes: Obtain a historical electricity consumption curve set of the electricity consumption household site, and extract the fitted electricity consumption time in the preset fitted electricity consumption time series in sequence, wherein the historical electricity consumption curve set refers to a set of past single-day electricity consumption curves, the independent variable of the single-day electricity consumption curve is time, and the dependent variable is electricity consumption; Extracting a historical power consumption set from the historical power consumption curve set according to the fitted power consumption time, and calculating the historical power consumption mean of the fitted power consumption time according to the historical power consumption set to obtain a historical power consumption mean set; Fitting the daily average electricity consumption curve of the electricity-consuming household location according to the historical electricity consumption mean value set; The integral of the daily average power consumption curve with respect to time is calculated to obtain the daily average power consumption.

4. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 3, characterized in that: The step of constructing the energy storage power source site combination set according to the energy storage power source number set and the power source coordination dot matrix area includes: Sorting the power array site set in the power coordination dot matrix area to obtain a power array site sequence, wherein the number of power array sites in the power array site sequence is m; Setting an energy storage power source number sequence according to the energy storage power source number set, wherein the number of energy storage power source numbers in the energy storage power source number sequence is n; Setting a tree-like allocation level sequence according to the energy storage power source number sequence; According to the power array site sequence, the first-level leaf node sequence and the second-level leaf node sequence are set. , the nth level leaf node sequence; According to the first-level leaf node sequence, the second-level leaf node sequence, , the nth level leaf node sequence and the tree-like allocation level sequence construct an initial site allocation tree diagram, and the number of leaf nodes in the initial site allocation tree diagram is , express The product of m; The initial site allocation tree diagram is repeated and deleted to obtain a target site allocation tree diagram, wherein the number of leaf nodes in the target site allocation tree diagram is ; Energy storage power source site combinations are sequentially extracted from the target site allocation tree diagram to obtain an energy storage power source site combination set.

5. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 4, characterized in that: The step of deleting duplications from the initial site allocation tree diagram to obtain a target site allocation tree diagram includes: Identify leaf nodes in the initial site allocation tree diagram in sequence, and identify power site allocation paths of the leaf nodes; Obtaining a power array site sequence number set on the power site allocation path, and determining whether there is a duplicate array site sequence number in the power array site sequence number set; If there are duplicate array site numbers in the power array site number set, the power site allocation path is deleted from the initial site allocation tree diagram, and it is determined whether the leaf node has been extracted; If the leaf nodes have not been extracted, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram; If there is no duplicate array site number in the power array site number set, return to the above step of sequentially identifying leaf nodes in the initial site allocation tree diagram; If the leaf nodes are extracted, a target site allocation tree diagram is obtained.

6. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 5, characterized in that: The step of supplying power to the set of electricity-consuming household points according to the dot matrix energy storage power station comprises: Receive the household sites with electricity demand according to the electricity demand household sites set, and sort the dot matrix energy storage power stations by distance according to the household sites with electricity demand to obtain an energy storage power station sequence; sequentially extracting energy storage power stations from the energy storage power station sequence; Determining whether the energy storage power station meets the preset power supply standard; If the energy storage power station does not meet the power supply standard, return to the above step of sequentially extracting energy storage power stations from the energy storage power station sequence; If the energy storage power station meets the power supply standard, the energy storage power station is used to supply power to the residents at the electricity demand points.

7. The method for optimizing coordinated operation of energy storage power sources based on multi-source fusion according to claim 6, characterized in that: The determining whether the energy storage power station meets the preset power supply standard includes: Identify the daily average power demand of the household location with power demand; Identifying the remaining power of the energy storage power station; Determine whether the remaining power of the energy storage power station is greater than the average daily power demand; If the remaining power of the energy storage power station is greater than the average daily power demand, the energy storage power station meets the power supply standard; If the remaining power of the energy storage power station is not greater than the average daily power demand, the energy storage power station does not meet the power supply standard.

8. A coordinated operation optimization system for energy storage power sources based on multi-source fusion using the method as claimed in claim 1, characterized in that: The system comprises: The electric field strength calculation module is used to obtain the electricity household site set and the power coordination dot matrix area, identify the daily average power consumption of the electricity household site; calculate the multi-source fusion electric field strength of each regional site in the power coordination dot matrix area according to the average daily power consumption and the pre-constructed multi-source electric field formula, and obtain the multi-source fusion electric field strength set, wherein the multi-source electric field formula is as follows: ， in, Indicates The electric field strength of multi-source fusion at each regional site is represents the total number of electricity consumption households, represents the field strength index, represents the average daily electricity consumption of the i-th electricity household, Indicates The power consumption distance between the regional site and the i-th power consumption household site; The power supply field strength calculation module is used to obtain an energy storage power supply number set, and construct an energy storage power supply site combination set according to the energy storage power supply number set and the power coordination lattice area, wherein the number of energy storage power supply numbers in the energy storage power supply number set is the number of energy storage power supply sites; sequentially extract energy storage power supply site combinations from the energy storage power supply site combination set, and calculate the multi-source fusion power supply field strength of each regional site in the power coordination lattice area according to the energy storage power supply site combination and the pre-constructed multi-source power supply field formula to obtain a multi-source fusion power supply field strength set, wherein the multi-source power supply field formula is as follows: ， in, Indicates The multi-source fusion power supply field strength at each regional site, Indicates the number of energy storage power supply points, Refers to the maximum power supply of the jth energy storage power source number, Indicates The power supply distance of the jth energy storage power source site in the combination of regional sites and energy storage power source sites; The target energy storage power supply site combination identification module is used to calculate the electric field consistency of the multi-source fusion electric field strength set and the multi-source fusion power supply field strength set to obtain an electric field consistency set, identify the maximum consistency in the electric field consistency set, and identify the target energy storage power supply site combination corresponding to the maximum consistency; The power supply module is coordinated to arrange energy storage power stations according to the target energy storage power source site combination to obtain a dot matrix energy storage power station, and supply power to the electricity-consuming household site set according to the dot matrix energy storage power station.

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