An intelligent management method for a distributed energy storage power station based on fuzzy control

Abstract

The present invention discloses an intelligent management method for a distributed energy storage power station based on fuzzy control, which relates to the technical field of power station management. It collects information of the distributed energy storage power station, where the information of the distributed energy storage power station includes the energy storage capacity of the energy storage power station and the location of the energy storage power station. The energy storage power station is segmented to obtain energy storage units, and identity information is assigned to the energy storage units. Weather information within a preset time is acquired. Based on Fourier transform, the electrical energy information is transformed to obtain the electrical energy information generated by continuous photovoltaic power generation. Based on fuzzy control, the unit power generation segments are bound to the corresponding energy storage units as charging information; real-time weather information within a preset time is collected. The present invention ensures that the least number of storage batteries are used each time, thereby ensuring a reduction in the charging times and being able to improve the service life of the storage batteries.

Description

Technical Field

[0001] The present invention relates to the technical field of power station management, and particularly relates to an intelligent management method for a distributed energy storage power station based on fuzzy control. Background Art

[0002] With the development of the times and the scarcity of energy, the proportion of clean energy entering social use is gradually increasing. Among them, when generating electricity from solar energy, an energy storage power station needs to be configured. The traditional energy storage power station is centralized and will consume energy during the transmission process. Therefore, the current distributed energy storage power station is more popular. However, in the management of the distributed energy storage power station, it is difficult to allocate and use the storage batteries used in the energy storage power station according to the actual power generation. Therefore, basically, the entire energy storage power station is charged and all the storage batteries are used. As a result, the number of times the storage batteries are used cannot be reduced, and charging too many times will affect the service life of the storage batteries. Summary of the Invention

[0003] The purpose of the present invention is to provide an intelligent management method for a distributed energy storage power station based on fuzzy control to solve the deficiencies in the background art.

[0004] To achieve the above purpose, the present invention provides the following technical solution: An intelligent management method for a distributed energy storage power station based on fuzzy control, comprising the following steps:

[0005] Collect information of the distributed energy storage power station, where the information of the distributed energy storage power station includes the energy storage capacity of the energy storage power station and the location of the energy storage power station, and establish a corresponding relationship between the energy storage power station and photovoltaic power generation;

[0006] Divide the energy storage power station to obtain energy storage units, and assign identity information to the energy storage units. The energy storage capacity of the energy storage unit is correspondingly identified by the identity information of the energy storage unit;

[0007] Obtain weather information within a preset time, and predict the electrical energy information generated based on the weather information;

[0008] Based on Fourier transform, transform the electrical energy information to obtain the electrical energy information generated by continuous photovoltaic power generation, divide the electrical energy information generated by continuous photovoltaic power generation into several unit power generation segments, and match the unit power generation segments with the graded energy storage units to obtain a matching result;

[0009] Based on fuzzy control, bind the unit power generation segments with the corresponding energy storage units as charging information;

[0010] Collect the real-time weather information within a preset time, and obtain updated charging information based on the real-time weather information within a preset time.

[0011] In a preferred embodiment, the step of establishing the corresponding relationship between the energy storage power station and photovoltaic power generation includes:

[0012] Collect the location information of distributed energy storage power stations within the management scope, and establish a distribution map of distributed energy storage power stations based on the location information;

[0013] Collect the energy storage capacity of distributed energy storage power stations. Among them, the energy storage capacity includes the overall energy storage capacity of the energy storage power station and the energy storage capacity of a single energy storage battery, and mark the energy storage capacity on the distribution map;

[0014] Mark the location of photovoltaic power generation based on the distribution map and mark it on the distribution map, and establish a corresponding relationship on the distribution map based on the electrical connection relationship between photovoltaic power generation and the energy storage power station.

[0015] In a preferred embodiment, the step of splitting the energy storage power station into energy storage units and assigning identity information to the energy storage units, and correspondingly identifying the energy storage capacity of the energy storage units according to the identity information of the energy storage units, includes:

[0016] Based on the energy storage battery and the splitting level condition, split the energy storage power station into several energy storage units, and respectively set electrical connection channels between the several energy storage units;

[0017] Classify the several energy storage units based on the splitting level condition to obtain graded energy storage units;

[0018] Perform identity identification based on the electrical connection channel, and set electrical connection conditions corresponding to the electrical connection channel and the graded energy storage unit;

[0019] Assign identity information to the energy storage unit and mark it on the distribution map, and correspondingly identify the energy storage capacity of the energy storage unit based on the identity information of the energy storage unit.

[0020] In a preferred embodiment, the step of obtaining weather information within a preset time and predicting electrical energy information based on the weather information includes:

[0021] Obtain weather information within a preset time based on meteorological satellites, and obtain the light irradiation intensity based on the weather information;

[0022] Obtain the predicted power generation within a preset time based on the photovoltaic power generation efficiency and the light irradiation intensity, record the predicted power generation with time as the reference point to obtain a predicted power curve and use it as electrical energy information.

[0023] In a preferred embodiment, the step of transforming the electrical energy information by Fourier transform to obtain continuous electrical energy generated by photovoltaic power generation, dividing the continuous electrical energy generated by photovoltaic power generation into several unit power generation segments, and matching the unit power generation segments with the graded energy storage units to obtain a matching result includes:

[0024] The electrical energy information is transformed into several spectra based on the Fourier transform, and the electrical energy frequency information generated by continuous photovoltaic power generation is obtained according to the several spectra;

[0025] Based on the division characteristics, the electrical energy frequency information generated by continuous photovoltaic power generation is divided to obtain several unit power generation segments;

[0026] Based on the matching of several unit power generation segments with the energy storage capacity of the hierarchical energy storage units, the matching result with the least number of energy storage units used is obtained.

[0027] In a preferred embodiment, the step of matching several unit power generation segments with the energy storage capacity of the hierarchical energy storage units to obtain the matching result with the least number of energy storage units used includes:

[0028] Obtain the division characteristic as the T value, where the T value is the energy storage capacity of the largest hierarchical energy storage unit;

[0029] The electrical energy frequency information above the T value is used as the power generation segment with high power generation, and the electrical energy frequency information below the T value is used as the power generation segment with low power generation, where the power generation segments with high power generation and low power generation are used as several unit power generation segments;

[0030] The power generation segments with high power generation are preferentially matched with the hierarchical energy storage units with the largest energy storage capacity, and the power generation segments with high power generation are allocated in sequence according to the energy storage capacity of the hierarchical energy storage units from high to low, and the power generation segments with low power generation are allocated according to less than the energy storage capacity of the hierarchical energy storage units to obtain the matching result.

[0031] In a preferred embodiment, the step of binding the unit power generation segment with the corresponding energy storage unit as the charging information based on fuzzy control includes:

[0032] Obtain the matching result, where the matching result includes the unit power generation segment and the corresponding energy storage unit, and bind the unit power generation segment with the corresponding energy storage unit;

[0033] Based on fuzzy control, the matching result is automatically charged according to time as the charging information.

[0034] In a preferred embodiment, the step of collecting the weather information within a preset time in real time and obtaining the updated charging information based on the weather information within the preset time in real time includes:

[0035] Based on the meteorological satellite, the weather information within the preset time is updated in real time, and the real-time sunlight irradiation intensity is obtained according to the weather information within the preset time;

[0036] Based on the real-time sunlight irradiation intensity and the photovoltaic power generation efficiency, the target power generation within the preset time is obtained.

[0037] Based on the target power generation, several unit power generation segments are re-divided through Fourier transform to obtain a matching result, and corresponding updated charging information is obtained through fuzzy control according to the matching result.

[0038] In the above technical solution, the technical effects and advantages provided by the present invention are as follows:

[0039] The present invention can control the electrical connection between each energy storage unit according to the electrical connection conditions, can control the connection of multiple energy storage units, and energy storage units of different levels can better serve the storage of photovoltaic power generation, can better arrange the charging of the power station, ensure that the least number of batteries are used each time, thereby ensuring a reduction in the number of charging times and improving the service life of the batteries. Brief Description of the Drawings

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0041] Figure 1 It is a flowchart of the method of the present invention. Detailed Embodiments

[0042] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0043] Embodiment 1. Please refer to Figure 1 As shown, a method for intelligent management of a distributed energy storage power station based on fuzzy control in this embodiment includes the following steps:

[0044] S1. Collect information of the distributed energy storage power station. Among them, the information of the distributed energy storage power station includes the energy storage capacity of the energy storage power station and the location of the energy storage power station, and establish a corresponding relationship between the energy storage power station and photovoltaic power generation;

[0045] S2. Divide the energy storage power station into energy storage units, and assign identity information to the energy storage units. The corresponding identity information of the energy storage units corresponds to identify the energy storage capacity of the energy storage units;

[0046] S3. Obtain the weather information within a preset time and predict the generated electric energy information based on the weather information;

[0047] S4. Based on Fourier transform, transform the electric energy information to obtain the continuous electric energy information generated by photovoltaic power generation. Divide the continuous electric energy information generated by photovoltaic power generation into several unit power generation segments, and match the unit power generation segments with the hierarchical energy storage units to obtain a matching result;

[0048] S5. Based on fuzzy control, bind the unit power generation segments with the corresponding energy storage units as charging information;

[0049] S6. Collect the real-time weather information within a preset time, and obtain updated charging information based on the real-time weather information within the preset time;

[0050] Further explanation: With the development of the times and the scarcity of energy, the proportion of clean energy entering social use is also gradually increasing. Among them, when generating electricity from solar energy, an energy storage power station needs to be configured. The traditional energy storage power station is centralized, and energy will be consumed during the transmission process. Therefore, at present, distributed energy storage power stations are more popular. However, in the management of distributed energy storage power stations, it is difficult to allocate and use the batteries used in the energy storage power station according to the actual power generation. Therefore, basically, the entire energy storage power station is charged and all the batteries are used. As a result, the number of times the batteries are used cannot be reduced, and excessive charging will affect the service life of the batteries. In this application, according to different levels of hierarchical energy storage units, it can better serve the storage of photovoltaic power generation, can better arrange the charging of the power station in a distributed manner, ensure that the minimum number of batteries is used as much as possible each time, thereby ensuring a reduction in the number of charging times and improving the service life of the batteries;

[0051] In one embodiment, step S1 of establishing the corresponding relationship between the energy storage power station and photovoltaic power generation includes:

[0052] S11. Collect the location information of the distributed energy storage power station within the management scope, and establish a distribution map of the distributed energy storage power station based on the location information;

[0053] S12. Collect the energy storage capacity of the distributed energy storage power station. Among them, the energy storage capacity includes the overall energy storage capacity of the energy storage power station and the energy storage capacity of a single energy storage battery, and mark the energy storage capacity on the distribution map;

[0054] S13. Mark the location of photovoltaic power generation based on the distribution map and mark it on the distribution map. Establish a corresponding relationship on the distribution map based on the electrical connection relationship between photovoltaic power generation and the energy storage power station;

[0055] As described in the above steps S11 - S13, collect the location information of the distributed energy storage power stations within the management scope, mark the location information of the energy storage power stations within the management scope on the electronic map based on the electronic map to obtain a distribution map, and then collect the energy storage capacity of the distributed energy storage power stations. Among them, the energy storage capacity includes the overall energy storage capacity of the energy storage power station and the energy storage capacity of a single energy storage battery. An energy storage power station uses a combination of multiple energy storage batteries, and each energy storage battery can have the same energy storage capacity or different electrical energy capacities. Each energy storage power station corresponds to one or more photovoltaic power generation devices respectively. Therefore, establish the corresponding relationship between the photovoltaic power generation and the energy storage power station. This corresponding relationship is the electrical connection relationship and is reflected on the distribution map through the corresponding relationship. The specific manifestation method can be marked with the same color or a mark of energy interconnection, which has a good role in displaying the relevant information of the energy storage power station within the management scope and can facilitate the subsequent control of the energy storage power station;

[0056] In one embodiment, step S2 of splitting the energy storage power station into energy storage units and assigning identity information to the energy storage units, and corresponding the identity information of the energy storage units to identify the energy storage capacity of the energy storage units includes:

[0057] S21. Split the energy storage power station into several energy storage units based on the energy storage battery and the splitting level condition, and set electrical connection channels between the several energy storage units respectively;

[0058] S22. Divide the several energy storage units into hierarchical energy storage units based on the splitting level condition;

[0059] S23. Perform identity identification based on the electrical connection channels, and set electrical connection conditions for the corresponding electrical connection channels and the hierarchical energy storage units;

[0060] S24. Assign identity information to the energy storage units and mark it on the distribution map, and correspondingly identify the energy storage capacity of the energy storage units based on the identity information of the energy storage units;

[0061] As described in the above steps S21 - S24, after collecting the energy storage power station information, the energy storage batteries in a single energy storage power station are segmented. Based on the segmentation level conditions, the energy storage power station is segmented into several energy storage units. Among them, the segmentation level conditions are the minimum and maximum energy storage values of a single energy storage unit. Multiple minimum and maximum energy storage value ranges are set to obtain multiple levels of energy storage units. The energy storage batteries in a single energy storage power station are segmented according to the range of the minimum and maximum energy storage values to obtain several energy storage units. After obtaining several energy storage units, electrical connection channels are established between the several energy storage units respectively, indicating that the energy storage units can be electrically connected and transmitted to each other. Electrical connection conditions are set for the electrical connection channels and the energy storage units of different levels, and the electrical connection between each energy storage unit can be controlled according to the electrical connection conditions. The connection of multiple energy storage units can be controlled, and according to the energy storage units of different levels, it can better serve the storage of photovoltaic power generation;

[0062] In one embodiment, step S3 of obtaining the weather information within a preset time and predicting the electrical energy information based on the weather information includes:

[0063] S31. Obtain the weather information within a preset time based on meteorological satellites, and obtain the light irradiation intensity based on the weather information;

[0064] S32. Obtain the predicted power generation within a preset time based on the photovoltaic power generation efficiency and the light irradiation intensity, record the predicted power generation with time as the reference point to obtain the predicted power curve graph and use it as the electrical energy information;

[0065] As described in the above steps S31 - S32, obtain the weather information within a preset time, and obtain the light irradiation intensity according to the weather information. Among them, the light intensity is jointly obtained according to the cloud information and air quality of the predicted weather information. Then, obtain the predicted power generation within a preset time based on the photovoltaic power generation efficiency and the light irradiation intensity, record the predicted power generation with time as the reference point to obtain the predicted power curve graph and use it as the electrical energy information, which can reflect the light intensity and power generation situation within a future preset time. This is predicted data, not standard information, and the actual situation will be changed in real time according to meteorological satellites and actual conditions, which is elastic change data;

[0066] In one embodiment, step S4 of transforming the electrical energy information by Fourier transform to obtain the electrical energy information generated by continuous photovoltaic power generation, dividing the electrical energy information generated by continuous photovoltaic power generation into several unit power generation segments, and matching the unit power generation segments with the energy storage units of different levels to obtain a matching result includes:

[0067] S41. Transform the electrical energy information into several frequency spectra by Fourier transform, and obtain the electrical energy frequency information generated by continuous photovoltaic power generation according to the several frequency spectra;

[0068] S42. Divide the power frequency information generated by continuous photovoltaic power generation based on the division characteristics to obtain several unit power generation segments;

[0069] S43. Match based on the stored energy of several unit power generation segments and the hierarchical energy storage units to obtain the matching result with the least number of energy storage units used;

[0070] As described in the above steps S41 - S43, obtain the power generation amount at a preset time according to the weather information, then transform the power information into several spectra based on Fourier transform, and obtain the power frequency information generated by continuous photovoltaic power generation from the several spectra. Here, the power frequency information is a power frequency function, which is obtained by organizing through Fourier transform. Among them, Fourier transform is a mathematical tool for decomposing a signal in the frequency domain. It decomposes a signal into the superposition of sine and cosine waves of different frequencies. Then, divide the power frequency information generated by continuous photovoltaic power generation based on the division characteristics to obtain several unit power generation segments. Here, the division characteristic is the T value. The power frequency information above the T value is used as the power generation segment with high power generation, and the power frequency information below the T value is used as the power generation segment with low power generation. Among them, the T value is the stored energy of the largest hierarchical energy storage unit. Obtain several unit power generation segments from the power generation segments with high power generation and the power generation segments with low power generation respectively. Then, match based on the stored energy of several unit power generation segments and the hierarchical energy storage units to obtain the matching result with the least number of energy storage units used. Regarding several unit power generation segments as one charge can better arrange the charging of the power station, ensure that the least number of batteries are used each time, and thus ensure the reduction of the charging times, which can improve the service life of the batteries;

[0071] In one embodiment, step S43 of matching based on the stored energy of several unit power generation segments and the hierarchical energy storage units to obtain the matching result with the least number of energy storage units used includes:

[0072] S431. Obtain the division characteristic and set it as the T value, where the T value is the stored energy of the largest hierarchical energy storage unit;

[0073] S432. Use the power frequency information above the T value as the power generation segment with high power generation, and use the power frequency information below the T value as the power generation segment with low power generation. Among them, several unit power generation segments are obtained according to the power generation segments with high power generation and the power generation segments with low power generation;

[0074] S433. Prioritize the power generation segments with high power generation to match the energy storage units with the largest energy storage capacity at the highest level. Allocate the power generation segments with high power generation in sequence according to the energy storage capacity of the energy storage units from the highest level to the lowest level, and allocate the power generation segments with low power generation according to an amount less than the energy storage capacity of the energy storage units to obtain a matching result.

[0075] As described in the above steps S431 - S433, use the energy storage capacity of the largest energy storage unit at the highest level as the division feature T value. Segment the electrical energy frequency information generated by continuous photovoltaic power generation through the T value. Through the T value segmentation, several unit power generation segments will be obtained. Among the several unit power generation segments, the electrical energy frequency information above the T value is used as the power generation segments with high power generation, and the electrical energy frequency information below the T value is used as the power generation segments with low power generation. Prioritize the power generation segments with high power generation to match the energy storage units with the largest energy storage capacity at the highest level. Allocate the power generation segments with high power generation in sequence according to the energy storage capacity of the energy storage units from the highest level to the lowest level, and allocate the power generation segments with low power generation according to an amount less than the energy storage capacity of the energy storage units to obtain a matching result. For example, if the value of the power generation segment with high power generation is T + a, then based on T, allocate it to the energy storage capacity of the corresponding largest energy storage unit at the highest level, and allocate the additional a according to an amount less than the energy storage capacity of the energy storage units to obtain the corresponding energy storage unit, thereby obtaining the matching result of the power generation segment with high power generation. Allocate the power generation segments with low power generation according to an amount less than the energy storage capacity of the energy storage units to obtain a matching result. It can perform reasonable allocation and storage according to the predicted weather and the corresponding generated electrical energy, has good allocation performance, can reduce the use of the storage batteries in the charging station, and does not affect the storage of electrical energy, extending the service life of the storage batteries.

[0076] In one embodiment, step S5 of binding the unit power generation segment with the corresponding energy storage unit as charging information based on fuzzy control includes:

[0077] S51. Obtain the matching result, where the matching result includes the unit power generation segment and the corresponding energy storage unit, and bind the unit power generation segment with the corresponding energy storage unit.

[0078] S52. Based on fuzzy control, perform automatic charging control on the matching result according to time as charging information.

[0079] As described in the above steps S51 - S52, bind the unit power generation segment in the matching result with the corresponding energy storage unit, and then perform automatic charging control on the matching result according to time based on fuzzy control as charging information. After that, at the corresponding time, through fuzzy control, connect the photovoltaic power generation and the energy storage power station, open the electrical connection channel between the corresponding energy storage unit in the matching result and the photovoltaic power generation, and charging can be achieved.

[0080] In one embodiment, step S6 of collecting weather information within a preset real-time period and obtaining updated charging information based on the weather information within the preset real-time period includes:

[0081] S61. Based on the meteorological satellite, update the weather information within the preset time in real time, and obtain the real-time light irradiation intensity according to the weather information within the preset real-time period;

[0082] S62. Obtain the target power generation within the preset time based on the real-time light irradiation intensity and the photovoltaic power generation efficiency;

[0083] S63. Based on the target power generation, re-divide through Fourier transform to obtain several unit power generation segments, obtain a matching result, and obtain the corresponding updated charging information through fuzzy control according to the matching result;

[0084] As described in the above steps S51 - S52, by updating the weather information within the preset time in real time through the meteorological satellite and obtaining the real-time light irradiation intensity according to the weather information within the preset real-time period, it is possible to obtain and predict the real-time light irradiation intensity corresponding to the actual light intensity and the latest prediction. Since the predicted real-time light irradiation intensity within the preset time is for a relatively long distance in time, and the weather changes rapidly in the actual relatively near weather prediction, it is necessary to update the data in real time. Furthermore, the corresponding charging information can be obtained according to the updated light irradiation intensity, and the electrical connection channel between the corresponding energy storage unit and the photovoltaic power generation can be controlled to be opened according to the charging information, so that charging can be realized.

[0085] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of changes or substitutions, which should all be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A distributed energy storage power station intelligent management method based on fuzzy control, characterized in that: The following steps are involved: Collecting distributed energy storage power station information, where the distributed energy storage power station information includes the energy storage capacity of the energy storage power station and the location of the energy storage power station, and establishing a corresponding relationship between the energy storage power station and photovoltaic power generation; The energy storage power station is divided into energy storage units, and identity information is assigned to the energy storage units, and the energy storage capacity of the energy storage units is identified corresponding to the identity information of the energy storage units; Obtain weather information within a preset time and predict the generated power information based on the weather information; Based on Fourier transform, the electric energy information is transformed to obtain the electric energy information generated by continuous photovoltaic power generation, the electric energy information generated by continuous photovoltaic power generation is divided into several unit power generation segments, and the unit power generation segments are matched with the hierarchical energy storage units to obtain matching results; Based on fuzzy control, the unit power generation segment is bound to the corresponding energy storage unit as charging information; Collecting real-time weather information within a preset time, and obtaining updated charging information based on the real-time weather information within the preset time; The steps of transforming the electric energy information based on Fourier transform to obtain the electric energy information generated by continuous photovoltaic power generation, dividing the electric energy information generated by continuous photovoltaic power generation into a plurality of unit power generation segments, and matching the unit power generation segments with the hierarchical energy storage units to obtain the matching results include: The electric energy information is transformed into a number of frequency spectra based on Fourier transform, and the frequency information of electric energy generated by continuous photovoltaic power generation is obtained according to the number of frequency spectra; Based on the division characteristics, the electric energy frequency information generated by continuous photovoltaic power generation is divided into several unit power generation segments; Based on matching a number of unit power generation segments with the storage energy of the graded energy storage units, a matching result with the least number of energy storage units used is obtained; The step of matching a plurality of unit power generation segments with the energy storage of the graded energy storage units to obtain a matching result using the least number of energy storage units comprises: The partition feature is obtained and set to T value, where T value is the storage energy of the largest level energy storage unit; The power frequency information above the T value is used as a power generation segment with high power generation, and the power frequency information below the T value is used as a power generation segment with low power generation, wherein the power generation segment with high power generation and the power generation segment with low power generation are used as a plurality of unit power generation segments; The power generation segments with high power generation capacity are preferentially matched with the energy storage units with the maximum energy storage capacity, and the power generation segments with high power generation capacity are allocated in sequence according to the energy storage capacity of the energy storage units from high to low. The power generation segments with low power generation capacity are allocated according to the energy storage capacity less than the energy storage capacity of the energy storage units to obtain the matching result.

2. According to claim 1, a distributed energy storage power station intelligent management method based on fuzzy control is characterized by: The step of establishing the corresponding relationship between the energy storage power station and the photovoltaic power generation includes: Collect the location information of distributed energy storage power stations within the management scope, and establish a distribution map of distributed energy storage power stations based on the location information; Collect the energy storage of distributed energy storage power stations, where the energy storage includes the overall energy storage of the energy storage power station and the energy storage of a single energy storage battery, and mark the energy storage on the distribution map; The location of photovoltaic power generation is marked based on the distribution map and marked on the distribution map, and a corresponding relationship is established on the distribution map based on the electrical connection relationship between the photovoltaic power generation and the energy storage power station.

3. According to claim 1, a distributed energy storage power station intelligent management method based on fuzzy control is characterized by: The steps of dividing the energy storage power station into energy storage units, assigning identity information to the energy storage units, and identifying the energy storage capacity of the energy storage units corresponding to the identity information of the energy storage units include: The energy storage power station is divided into a plurality of energy storage units based on the energy storage battery and the division level conditions, and electrical connection channels are respectively set between the plurality of energy storage units; Classify a plurality of energy storage units based on the segmentation grade conditions to obtain graded energy storage units; Perform identity identification based on the electrical connection channel, and set electrical connection conditions corresponding to the electrical connection channel and the grade energy storage unit; The energy storage units are assigned identity information and marked on the distribution map, and the storage capacity of the energy storage units is identified based on the identity information of the energy storage units.

4. According to claim 1, a distributed energy storage power station intelligent management method based on fuzzy control is characterized by: The step of obtaining weather information within a preset time and predicting electric energy information based on the weather information includes: Acquire weather information within a preset time based on meteorological satellites, and obtain light intensity based on the weather information; The estimated power generation within a preset time is obtained based on the photovoltaic power generation efficiency and the light irradiation intensity. The estimated power generation is recorded with time as a reference point to obtain an estimated power curve graph as power information.

5. The method for intelligent management of a distributed energy storage power station based on fuzzy control according to claim 1 is characterized in that: The step of binding the unit power generation segment with the corresponding energy storage unit as charging information based on fuzzy control includes: Obtaining a matching result, wherein the matching result includes a unit power generation segment and a corresponding energy storage unit, and binding the unit power generation segment and the corresponding energy storage unit; The matching result is used as charging information to automatically control charging according to time based on fuzzy control.

6. The method for intelligent management of a distributed energy storage power station based on fuzzy control according to claim 1, characterized in that: The step of collecting real-time weather information within a preset time and obtaining updated charging information based on the real-time weather information within the preset time includes: Based on the weather satellite, the weather information within the preset time is updated in real time, and the real-time light intensity is obtained according to the weather information within the real-time preset time; The target power generation within a preset time is obtained based on the real-time light intensity and photovoltaic power generation efficiency; According to the target power generation, a number of unit power generation segments are obtained by re-dividing based on Fourier change, and a matching result is obtained. According to the matching result, the corresponding updated charging information is obtained through fuzzy control.

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