Distributed optical energy storage management method based on string type energy storage system

Abstract

The invention relates to the technical field of battery energy storage management, in particular to a distributed light energy storage management method based on a string type energy storage system, which comprises the following steps of: 1, constructing a regional terrain model, and calculating theoretical conversion power based on the total power generation area, component conversion power and power generation loss coefficient of a photovoltaic power generation panel array; 2, performing sunlight irradiation simulation to calculate a shielding parameter value; 3, analyzing and calculating a coverage influence value based on the total suspended particulate matter index of the installation position; 4, obtaining the annual average irradiance of a region corresponding to the installation position, recording the annual average irradiance as G, and analyzing and calculating a power measurement and calculation value in combination with a shielding parameter value, a coverage influence value and theoretical conversion power; 5, calculating a daily average power generation predicted value and a peak power generation predicted value based on the average sunshine duration and the peak sunshine duration; calculating the required peak electric quantity of the load circuit; the energy storage units are divided into storage units and circulation units, and the set number of the storage units and the set number of the circulation units are calculated.

Description

Technical Field

[0001] The present invention relates to the technical field of battery energy storage management, and in particular to a distributed photovoltaic energy storage management method based on a string energy storage system. Background Art

[0002] The string energy storage system is an energy storage solution based on modular design and intelligent control technology. It combines multiple independent energy storage units (such as battery clusters, power electronic equipment, etc.) into a system to achieve efficient storage and release of electric energy. Its core feature is the "one cluster, one management" distributed architecture, which can improve the flexibility, safety and reliability of the system. It is widely used in power peak regulation, new energy grid connection, industrial and commercial energy storage, and household energy storage.

[0003] In the existing technology, it is difficult to comprehensively calculate the photovoltaic power generation power based on the installation environment during the preparation stage of photovoltaic power generation and energy storage equipment installation, and it is impossible to match the types and adjust the quantity of string energy storage equipment based on usage, resulting in poor system installation management efficiency and difficulty in achieving targeted distributed photovoltaic energy storage installation. Summary of the invention

[0004] In view of the above-mentioned shortcomings of the prior art, the present invention provides a distributed photovoltaic energy storage management method based on a string energy storage system, which can effectively solve the problem in the prior art that it is impossible to adjust and match the type and quantity of string energy storage equipment in combination with photovoltaic power generation and load usage.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: The present invention provides a distributed photovoltaic energy storage management method based on a string energy storage system, comprising the following steps: Step 1: Construct a regional terrain model of the installation location and its surrounding area and set a photovoltaic panel array model therein, and calculate the theoretical conversion power based on the total power generation area of ​​the photovoltaic panel array, the component conversion power, and the power generation loss coefficient; Step 2: construct multiple solar moving axes in the regional terrain model, wherein the multiple solar moving axis arrays are distributed within a preset angle range, and multiple irradiation analysis points are set on the solar moving axes; Perform sunlight irradiation simulation at different irradiation analysis points to obtain the shadow coverage ratio on the photovoltaic panel array, calculate the shadow impact value based on the shadow coverage ratio, and calculate the first impact value and the second impact value according to the peak value of the shadow impact value of each irradiation analysis point and the proportion of the number of shadow impact values ​​greater than 0, and combine the two to calculate the shading parameter value; Step 3: Obtain the total suspended particulate matter index monitored at multiple sampling times at the installation location and analyze and calculate the coverage impact value; Step 4: Obtain the annual average irradiance of the area corresponding to the installation location, recorded as G, and calculate the power measurement value by combining the shielding parameter value, coverage influence value, and theoretical conversion power analysis; Step 5: Calculate the average daily power generation forecast value and the peak power generation forecast value based on the average sunshine duration and the peak sunshine duration; Calculate the peak power demand of the load circuit; The energy storage units are divided into storage units and circulation units, and the storage capacity of each energy storage unit is obtained. Combined with the average daily power generation forecast value, peak power generation forecast value, average daily usage time, average evening usage time, and peak power demand, the number setting values ​​of storage units and circulation units are calculated respectively.

[0006] Furthermore, the regional terrain model construction process is as follows: The installation location and its surrounding area are recorded as the target area, and a drone is used to perform horizontal height scanning on the target area to construct a height distribution map within the target area. The height distribution map includes multiple unit areas, and each unit area corresponds to a height value; The height value of the installation position is obtained and recorded as a height threshold, and the unit areas with height values ​​less than or equal to the height threshold in the target area are eliminated to obtain multiple influence areas, each of which includes one or more adjacent unit areas; A columnar model of the affected area is constructed in the height distribution map. The columnar model includes multiple unit columns, each unit column corresponds to a unit area, and the height of the unit column is equal to the height value of the unit area. The height distribution map containing the columnar model is recorded as a regional terrain model, and a photovoltaic panel array model is constructed in the regional terrain model.

[0007] Furthermore, the height distribution map construction process is as follows: Obtain a plane map within the target area, divide the plane map into multiple unit areas, the side length of each unit area is less than or equal to the preset accuracy threshold, mark the center point of the unit area as the scanning point, build a flight trajectory connecting each scanning point, control the UAV to fly along the flight trajectory, use the airborne laser radar to scan the ground at each scanning point, and obtain the height measurement value of the scanning point as the height value of the unit area.

[0008] Furthermore, the shadow impact value calculation process is as follows: Each irradiation analysis point is recorded as , where i represents the serial number of the corresponding sun moving axis, j represents the serial number of the irradiation analysis point on the corresponding sun moving axis, and when simulating sunlight irradiation at each irradiation analysis point, the shadow area formed on the photovoltaic panel array is obtained , substitute into the formula Calculate the shadow coverage ratio ,in Represents the total power generation area of ​​the photovoltaic panel array; Substituting the shadow coverage ratio into the formula Calculate in and get the shadow impact value DF corresponding to each irradiation analysis point, where are all preset weight coefficients, and e is a natural constant; Set irradiation analysis point The corresponding shadow impact value is , obtain the peak value of the shadow impact value on each sun moving axis and record it as , substitute into the formula The first impact value is calculated , where n is the total number of the sun's moving axes.

[0009] Furthermore, the occlusion parameter value calculation process is as follows: Set irradiation analysis point The corresponding shadow impact value is , obtain the peak value of the shadow impact value on each sun moving axis and record it as , substitute into the formula The first impact value is calculated , where n is the total number of the sun's moving axes; Get the number of shadow influence values ​​greater than 0 and record it as , substitute into the formula The second influence value is calculated by , where m is the total number of irradiation analysis points on the same sun moving axis; Get the first impact value and the second impact value After normalization, enter the formula Calculate the occlusion parameter value ,in These are all preset weight coefficients.

[0010] Furthermore, the coverage impact value calculation process is as follows: A monitoring cycle is preset, and the total suspended particulate matter index monitored at the installation location in the most recent monitoring cycle is obtained. Multiple sampling moments are set in the monitoring cycle, and the multiple sampling moments are evenly distributed in the monitoring cycle. The total suspended particulate matter index corresponding to the sampling moment is extracted and recorded as the sampling index; Construct a rectangular coordinate system and draw a line graph of the sampling index changing with the sampling time. A cleaning cycle is preset. The cleaning cycle refers to the cleaning cycle of the photovoltaic panel array. The line graph of the sampling index changing with the sampling time is divided into multiple interval segments with the cleaning cycle as the interval length. , where f is the serial number of the interval segment; Calculate each interval segment The closed image area enclosed by the time axis is used to obtain the cumulative index , substitute into the formula The coverage impact value is calculated in ; Where h is the total number of interval segments, T is the duration of the cleaning cycle, is the preset empirical coefficient.

[0011] Furthermore, the power measurement value calculation process is as follows: Get the annual average irradiance of the area corresponding to the installation location, recorded as G, and extract the shielding parameter value , Overwrite Impact Value And normalized, combined with the theoretical conversion power , substitute into the formula Calculate in and get the power measurement value P, where These are preset scaling factors.

[0012] Furthermore, the process of setting the number of storage units and circulation units is as follows: Get the average sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the daily average power generation forecast value , obtain the peak sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the peak power generation forecast value ; Get the rated power of multiple electrical devices in the load circuit , average daily usage time and average nightly usage time , where q is the serial number of the electrical equipment, substitute into the formula: Calculate and get the peak power demand ; in The longest number of rainy days in the installation location; The energy storage capacity of each storage unit and each cycle unit is recorded as , substitute into the formula: Calculate and get the setting values ​​of storage unit and circulation unit quantity respectively ; in is the optimal cycle power ratio of the cycle unit, is the optimal energy storage capacity ratio of the energy storage unit, is the preset scaling factor.

[0013] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0014] A computer-readable storage medium stores a computer program, which implements the steps of the above method when executed by a processor.

[0015] Compared with the known prior art, the technical solution provided by the present invention has the following beneficial effects: 1. By comprehensively considering the shielding parameter value and the coverage influence value, the present invention can further consider the environmental data around the installation location when calculating the energy storage power of the distributed photovoltaic power generation system, and include the obstacle shadow shielding and dust coverage in the influence range, so as to obtain a more accurate power generation prediction value. Compared with the power generation calculation method in the prior art, it considers more factors and is more suitable for pre-installation evaluation of photovoltaic power generation systems under the condition of changeable environmental factors, so as to reasonably set the number of energy storage units in the string energy storage system and reduce the redundant setting of energy storage units.

[0016] 2. The present invention benefits from the string energy storage system. By distinguishing between storage units and circulation units, and then calculating the required quantity of different energy storage units according to the load demand and energy storage demand during actual use, the required quantity is adaptively combined to obtain a personalized string energy storage system. Under the premise of meeting various usage requirements of the installation site, the use efficiency of the string energy storage system is effectively improved, while saving the installation cost of the energy storage system and reducing unnecessary expenses. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention, and for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 It is the overall module block diagram of the present invention. DETAILED DESCRIPTION

[0019] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0020] The present invention will be further described below in conjunction with the embodiments.

[0021] See also Figure 1 A distributed photovoltaic energy storage management method based on a string energy storage system includes at least a distributed photovoltaic power generation system. The distributed photovoltaic power generation system refers to a power generation system including a photovoltaic panel array, a photovoltaic controller, a string energy storage system, an inverter, and a corresponding energy storage power station joint control and dispatching system. The photovoltaic component array absorbs solar energy and converts it into electrical energy and stores it in the string energy storage system or inputs it into a load circuit through an inverter.

[0022] It should be noted that distributed photovoltaic power generation systems are generally divided into two modes, namely grid-connected mode and off-grid mode. In the grid-connected mode, the distributed photovoltaic power generation system can feed excess electric energy exceeding local load demand into the public power grid through the grid-connected inverter, while in the off-grid mode, the distributed photovoltaic power generation system will store the electric energy in the energy storage unit of the string energy storage system and use it for the local load circuit. The management method in the present invention is mainly aimed at the distributed photovoltaic power generation system in the off-grid mode.

[0023] The following steps are also included: Step 1: Construct a regional terrain model and analyze and calculate the theoretical conversion power of the photovoltaic panel array, where: The installation location and its surrounding area (in a specific embodiment, the surrounding area refers to a square area with a side length of 100m and the installation location as the center) are recorded as the target area, and a drone is used to perform a horizontal height scan of the target area to construct a height distribution map within the target area. The height distribution map construction process is as follows: Obtain a plane map within the target area, divide the plane map into multiple unit areas, the side length of each unit area is less than or equal to a preset accuracy threshold (in a specific embodiment, the accuracy threshold is set to 0.5m), mark the center point of the unit area as a scanning point, construct a flight trajectory connecting the scanning points, control the drone to fly along the flight trajectory, use an airborne laser radar (LiDAR) to scan the ground at each scanning point, and obtain a height measurement value of the scanning point as a height value of the unit area; It should be noted that the height distribution map is a two-dimensional plane map of the target area. Each unit area in the height distribution map corresponds to a height value, that is, the actual height of the unit area. The height distribution map can be used to understand the terrain height in the target area, so as to screen out areas that may affect the power generation efficiency of the photovoltaic panel array.

[0024] The height value of the installation position is obtained and recorded as the height threshold. The unit areas with height values ​​less than or equal to the height threshold in the target area are eliminated to obtain multiple impact areas. Each impact area includes one or more adjacent unit areas (the unit areas constituting the impact area all satisfy the height value higher than the height threshold). A columnar model of the impact area is constructed in the height distribution map. The columnar model includes multiple unit columns, each unit column corresponds to a unit area, and the height of the unit column is equal to the height value of the unit area. The height distribution map containing the columnar model is recorded as a regional terrain model (the regional terrain model is a three-dimensional map formed by introducing the columnar model on the basis of the two-dimensional height distribution map). The installation area corresponding to the photovoltaic panel array is marked in the regional terrain model. The installation area refers to the installation area of ​​the photovoltaic panel array in the distributed photovoltaic power generation system. A photovoltaic panel array model is constructed in the installation area. By constructing a regional terrain model, the installation location and its surrounding terrain environment data can be digitally displayed, so that the three-dimensional simulation of the installation of the photovoltaic panel array can be carried out in the subsequent process, and some data can be predicted and estimated without actual installation.

[0025] The total power generation area of ​​the photovoltaic panel array is obtained and recorded as A. The total power generation area is equal to the sum of the power generation areas of all photovoltaic panel arrays. The component conversion power of the photovoltaic panel array is obtained and recorded as η. The power generation loss coefficient of the photovoltaic panel array (i.e., the comprehensive line loss and inverter loss, which is 20% in a specific embodiment) is obtained and recorded as Z. The conversion power calculation formula is , calculate the theoretical conversion power ; It should be noted that the theoretical conversion power refers to the equivalent conversion power of the photovoltaic panel array to convert solar irradiance (light intensity) into electrical energy under ideal working conditions, without considering equipment attenuation and environmental influences. When the solar irradiance is fixed, the greater the theoretical conversion power, the higher the power generation power of the photovoltaic panel array.

[0026] Step 2: An angle interval is preset, which corresponds to the variation range of the solar altitude angle at noon in the target area. Multiple solar moving axes are constructed in the regional terrain model to simulate the rotation path of the sun relative to the target area during the day. The multiple solar moving axes are evenly distributed in the angle interval (that is, the intervals between the multiple solar moving axes are fixed angle values ​​that conform to the array distribution). Multiple illumination analysis points are set on each solar moving axis, and each illumination analysis point is used as a light source to simulate sunlight illumination (a parallel light source is used to simulate light illumination to obtain shadow distribution).

[0027] It should be noted that the solar altitude angle in the target area will change at the same time every day as the earth revolves. This change cycle is usually one year (i.e., the time it takes for the earth to revolve once), which affects the size of the shadow area formed by sunlight, and thus affects the photovoltaic panel array. Light irradiation simulation is an existing technology. For example, SketchUp software in the existing technology can simulate the shadow effect under a three-dimensional model.

[0028] Each irradiation analysis point is recorded as , where i represents the serial number of the corresponding sun moving axis, and j represents the serial number of the irradiation analysis point on the corresponding sun moving axis, for example Indicates the irradiation analysis point with serial number 1 on the sun moving axis with serial number 1. When simulating sunlight irradiation at each irradiation analysis point, obtain the shadow area formed on the photovoltaic panel array , substitute into the formula Calculate the shadow coverage ratio ,in represents the total power generation area of ​​the photovoltaic panel array, and substitutes the shadow coverage ratio into the formula Calculate in and get the shadow impact value DF corresponding to each irradiation analysis point, where are all preset weight coefficients, and e is a natural constant; Set irradiation analysis point The corresponding shadow impact value is , obtain the peak value of the shadow impact value on each sun moving axis and record it as , substitute into the formula The first impact value is calculated , where n is the total number of the sun's moving axes; Get the number of shadow influence values ​​greater than 0 and record it as , substitute into the formula The second influence value is calculated by , where m is the total number of irradiation analysis points on the same sun moving axis; Get the first impact value and the second impact value After normalization, enter the formula Calculate the occlusion parameter value ,in These are all preset weight coefficients.

[0029] It should be noted that the shading parameter value is a parameter value calculated by mathematical analysis formula based on the regional terrain model using three-dimensional model shadow processing software to simulate shadow coverage. The shading parameter value indirectly reflects the impact of the shadow area formed by buildings (or trees) around the installation location under sunlight on the photovoltaic power generation efficiency. This value is not simulated based on the lighting conditions of a certain day, but is obtained through a comprehensive analysis of multi-point simulation over a long period (one year in this embodiment). It can comprehensively simulate the impact of shadows of obstacles around the installation location on the photovoltaic power generation efficiency on different dates and times, and conduct summary analysis to facilitate the calculation of the actual energy storage power of the distributed photovoltaic power generation system under long-term use.

[0030] Step 3: A monitoring period is preset (in a specific embodiment, the monitoring period is set to 1 year), and the total suspended particulate matter (TSP) index monitored at the installation location in the most recent monitoring period is obtained. Multiple sampling moments are set in the monitoring period, and the multiple sampling moments are evenly distributed in the monitoring period. The total suspended particulate matter index corresponding to the sampling moment is extracted and recorded as the sampling index; Construct a rectangular coordinate system (the horizontal axis is the time axis, the vertical axis is the total suspended particulate matter index value) and draw a line graph of the sampling index changing with the sampling time. A cleaning cycle is preset. The cleaning cycle refers to the cleaning cycle of the photovoltaic panel array (the surface of the photovoltaic panel array needs to be cleaned to remove the covered dust every time a cleaning cycle is set). The line graph of the sampling index changing with the sampling time is divided into multiple interval segments with the cleaning cycle as the interval length. , where f is the serial number of the interval segment, and the projection length of each interval segment on the time axis is equal to the cleaning cycle; Calculate each interval segment The closed image area enclosed by the time axis is used to obtain the cumulative index , substitute into the formula The coverage impact value is calculated in , where h is the total number of interval segments, T is the duration of the cleaning cycle, is the preset empirical coefficient.

[0031] It should be noted that the cleaning cycle of the photovoltaic panel array is generally set to several times a year in actual application. Therefore, the line graph of the sampling index changing with the sampling time can be divided into an integer number of interval segments, and the projection length of each interval segment is equal. By analyzing the total suspended particulate matter index during the monitoring period and combining the coverage impact value calculated by image processing technology, it can indirectly reflect the degree of influence of dust coverage during use on the efficiency of the photovoltaic panel array, thereby facilitating further analysis of the energy storage power during the actual use of the distributed photovoltaic power generation system.

[0032] Step 4: Obtain the annual average irradiance of the area corresponding to the installation location, recorded as G, and extract the shielding parameter value , Overwrite Impact Value And normalized, combined with the theoretical conversion power , substitute into the formula Calculate in and get the power measurement value P, where These are preset scaling factors.

[0033] It should be noted that by comprehensively considering the shielding parameter value and the coverage influence value, when calculating the energy storage power (i.e., power generation power) of the distributed photovoltaic power generation system, the environmental data around the installation location can be further considered, and the obstacle shadow shielding and dust coverage can be included in the influence range, so as to obtain a more accurate power generation power prediction value. Compared with the power generation power calculation method in the prior art, it considers more factors and is more suitable for pre-installation evaluation of photovoltaic power generation systems under changing environmental factors, so as to reasonably set the number of energy storage units in the string energy storage system and reduce the redundant setting of energy storage units.

[0034] Step 5: Obtain the average sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the daily average power generation forecast value , obtain the peak sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the peak power generation forecast value ; Get the rated power of multiple electrical devices in the load circuit , average daily usage time and average nightly usage time , where q is the serial number of the electrical equipment, substitute into the formula: Calculate and get the peak power demand ,in The longest duration of rainy days in the area where the installation is located, that is, the maximum duration of rainy days; It should be noted that the rated power can be obtained from the data plate of the electrical equipment, and the average daily usage time is registered by the staff at the installation site.

[0035] The energy storage unit is divided into a storage unit and a circulation unit. The energy storage battery in the storage unit is mainly used for electric energy storage, and the energy storage battery in the circulation unit is mainly used for load power supply. The energy storage capacity of each storage unit and each circulation unit is recorded as , substitute into the formula: Calculate and get the setting values ​​of storage unit and circulation unit quantity respectively ,in is the optimal cycle power ratio of the cycle unit, is the optimal energy storage capacity ratio of the energy storage unit, is the preset scaling factor.

[0036] It should be noted that different types of battery clusters (i.e., energy storage units) have different advantages in terms of functional use. Under normal circumstances (i.e., when a centralized energy storage system is used), different types of energy storage units cannot be combined. However, thanks to the string energy storage system, different types of energy storage units can be used together and the advantages of various batteries can be brought into play. For example, the energy storage unit can choose a lead-acid battery with good storage performance, storage stability and low cost, while the circulation unit can choose a lithium battery with good cycle life and charge and discharge efficiency. In addition, the optimal cycle power ratio refers to the ideal service life of the corresponding battery within this power ratio. For example, the optimal cycle ratio of a general lithium battery is 60%. Similarly, the optimal energy storage power ratio refers to the ideal service life of the corresponding battery within this power ratio. For example, the optimal energy storage power ratio of a general lead-acid battery is 80%.

[0037] By distinguishing between storage units and circulation units, and then calculating the required quantities of different energy storage units according to the load demand and energy storage demand during actual use, an adaptive combination is made according to the required quantity to obtain a personalized string energy storage system. Under the premise of meeting various usage requirements of the installation site, the efficiency of the string energy storage system is effectively improved, while saving the installation cost of the energy storage system and reducing unnecessary expenses.

[0038] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above method when executing the computer program.

[0039] A computer-readable storage medium stores a computer program, which implements the steps in the above method when executed by a processor.

[0040] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements will not cause the essence of the corresponding technical solutions to deviate from the protection scope of the technical solutions of the embodiments of the present invention.

Claims

1. A distributed photovoltaic energy storage management method based on a string energy storage system, characterized in that: The following steps are involved: Step 1: Construct a regional terrain model of the installation location and its surrounding area and set a photovoltaic panel array model therein, and calculate the theoretical conversion power based on the total power generation area of ​​the photovoltaic panel array, the component conversion power, and the power generation loss coefficient; Step 2: construct multiple solar moving axes in the regional terrain model, wherein the arrays of the multiple solar moving axes are distributed within a preset angle range, and multiple irradiation analysis points are set on the solar moving axes; Perform sunlight irradiation simulation at different irradiation analysis points to obtain the shadow coverage ratio on the photovoltaic panel array, calculate the shadow impact value based on the shadow coverage ratio, and calculate the first impact value and the second impact value according to the peak value of the shadow impact value of each irradiation analysis point and the proportion of the number of shadow impact values ​​greater than 0, and combine the two to calculate the shading parameter value; Step 3: Obtain the total suspended particulate matter index monitored at multiple sampling times at the installation location and analyze and calculate the coverage impact value; Step 4: Obtain the annual average irradiance of the area corresponding to the installation location, recorded as G, and calculate the power measurement value by combining the shielding parameter value, coverage influence value, and theoretical conversion power analysis; Step 5: Calculate the average daily power generation forecast value and the peak power generation forecast value based on the average sunshine duration and the peak sunshine duration; Calculate the peak power demand of the load circuit; The energy storage units are divided into storage units and circulation units, and the storage capacity of each energy storage unit is obtained. Combined with the average daily power generation forecast value, peak power generation forecast value, average daily usage time, average evening usage time, and peak power demand, the number setting values ​​of storage units and circulation units are calculated respectively.

2. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 1, characterized in that: The regional terrain model construction process is as follows: The installation location and its surrounding area are recorded as the target area, and a drone is used to perform horizontal height scanning on the target area to construct a height distribution map within the target area. The height distribution map includes multiple unit areas, and each unit area corresponds to a height value; The height value of the installation position is obtained and recorded as a height threshold, and the unit areas with height values ​​less than or equal to the height threshold in the target area are eliminated to obtain multiple influence areas, each of which includes one or more adjacent unit areas; A columnar model of the affected area is constructed in the height distribution map. The columnar model includes multiple unit columns, each unit column corresponds to a unit area, and the height of the unit column is equal to the height value of the unit area. The height distribution map containing the columnar model is recorded as a regional terrain model, and a photovoltaic panel array model is constructed in the regional terrain model.

3. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 2, characterized in that: The height distribution map construction process is as follows: Obtain a plane map within the target area, divide the plane map into multiple unit areas, the side length of each unit area is less than or equal to the preset accuracy threshold, mark the center point of the unit area as the scanning point, build a flight trajectory connecting each scanning point, control the UAV to fly along the flight trajectory, use the airborne laser radar to scan the ground at each scanning point, and obtain the height measurement value of the scanning point as the height value of the unit area.

4. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 1, characterized in that: The shadow impact value calculation process is as follows: Each irradiation analysis point is recorded as , where i represents the serial number of the corresponding sun moving axis, j represents the serial number of the irradiation analysis point on the corresponding sun moving axis, and when simulating sunlight irradiation at each irradiation analysis point, the shadow area formed on the photovoltaic panel array is obtained , substitute into the formula Calculate the shadow coverage ratio ,in Represents the total power generation area of ​​the photovoltaic panel array; Substituting the shadow coverage ratio into the formula Calculate in and get the shadow impact value DF corresponding to each irradiation analysis point, where are all preset weight coefficients, and e is a natural constant; Set irradiation analysis point The corresponding shadow impact value is , obtain the peak value of the shadow impact value on each sun moving axis and record it as , substitute into the formula The first impact value is calculated , where n is the total number of the sun's moving axes.

5. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 4, characterized in that: The occlusion parameter value calculation process is as follows: Set irradiation analysis point The corresponding shadow impact value is , obtain the peak value of the shadow impact value on each sun moving axis and record it as , substitute into the formula The first impact value is calculated , where n is the total number of the sun's moving axes; Get the number of shadow influence values ​​greater than 0 and record it as , substitute into the formula The second influence value is calculated by , where m is the total number of irradiation analysis points on the same sun moving axis; Get the first impact value and the second impact value After normalization, enter the formula Calculate the occlusion parameter value ,in These are all preset weight coefficients.

6. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 1, characterized in that: The calculation process of the coverage impact value is as follows: A monitoring cycle is preset, and the total suspended particulate matter index monitored at the installation location in the most recent monitoring cycle is obtained. Multiple sampling moments are set in the monitoring cycle, and the multiple sampling moments are evenly distributed in the monitoring cycle. The total suspended particulate matter index corresponding to the sampling moment is extracted and recorded as the sampling index; Construct a rectangular coordinate system and draw a line graph of the sampling index changing with the sampling time. A cleaning cycle is preset. The cleaning cycle refers to the cleaning cycle of the photovoltaic panel array. The line graph of the sampling index changing with the sampling time is divided into multiple interval segments with the cleaning cycle as the interval length. , where f is the serial number of the interval segment; Calculate each interval segment The closed image area enclosed by the time axis is used to obtain the cumulative index , substitute into the formula The coverage impact value is calculated in ; Where h is the total number of interval segments, T is the duration of the cleaning cycle, is the preset empirical coefficient.

7. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 1, characterized in that: The power measurement value calculation process is as follows: Get the annual average irradiance of the area corresponding to the installation location, recorded as G, and extract the shielding parameter value , Overwrite Impact Value And normalized, combined with the theoretical conversion power , substitute into the formula Calculate in and get the power measurement value P, where These are preset scaling factors.

8. A distributed photovoltaic energy storage management method based on a string energy storage system according to claim 1, characterized in that: The process of setting the number of storage units and circulation units is as follows: Get the average sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the daily average power generation forecast value , obtain the peak sunshine duration in the area where the installation is located and record it as , the average sunshine duration Multiply by the power calculation value P to get the peak power generation forecast value ; Get the rated power of multiple electrical devices in the load circuit , average daily usage time and average nightly usage time , where q is the serial number of the electrical equipment, substitute into the formula: Calculate and get the peak power demand ; in The longest number of rainy days in the installation location; The energy storage capacity of each storage unit and each cycle unit is recorded as , substitute into the formula: Calculate and get the setting values ​​of storage unit and circulation unit quantity respectively ; in is the optimal cycle power ratio of the cycle unit, is the optimal energy storage capacity ratio of the energy storage unit, is the preset scaling factor.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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