Optical storage system

Abstract

The invention discloses a light storage system, which comprises the following steps of: acquiring and analyzing weather data to obtain a weather data set; acquiring a generating capacity calculation result set according to the weather data set; calculating actual generating capacity according to the weather data set and the generating capacity calculation result set; analyzing the power consumption required for adjusting the mask area; calculating the charging and discharging conditions of the energy storage system according to the power grid demand and the energy storage system state; based on the actual generating capacity, the power consumption, the charging and discharging conditions of the energy storage system, the electricity selling price, the storage cost, the unit electricity price, the fixed cost and the cooling cost of the air-cooled water-cooling system, calculating the net income under the combination of different shade area percentages and the power percentages of the air-cooled water-cooling system; through iterative calculation, the mask area percentage enabling the net income to be maximum and the corresponding optimal air-cooling and water-cooling system power percentage are found; and applying the optimal mask area percentage and the corresponding optimal power percentage to the optical storage system.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic storage systems, and in particular to a photovoltaic storage system. Background Art

[0002] With the acceleration of global energy transformation and the continuous development of renewable energy technology, photovoltaic storage systems, as an important part of the new energy field, are increasingly receiving widespread attention. By integrating photovoltaic power generation and energy storage technology, photovoltaic storage systems achieve clean and efficient use of energy, which is of great significance for promoting energy structure optimization and reducing greenhouse gas emissions. In the construction of smart grids and distributed energy systems, photovoltaic storage systems play an increasingly important role.

[0003] At present, photovoltaic storage system technology has made significant progress, with improvements in power generation efficiency, energy storage capacity, system stability, etc. However, despite significant technological progress, the overall performance and economy of photovoltaic storage systems still need to be further optimized. In particular, there are still many challenges in system regulation and resource allocation. In order to achieve the sustainable development of photovoltaic storage systems, it is necessary to continuously explore new technical means and optimization strategies.

[0004] Traditional photovoltaic storage systems usually include key steps such as photovoltaic power generation, energy storage, grid access and intelligent control. The photovoltaic power generation stage converts solar energy into electrical energy through solar panels; the energy storage stage uses battery packs and other energy storage devices to store excess electrical energy; the grid access stage realizes the interconnection between the photovoltaic storage system and the grid; and the intelligent control stage is responsible for the overall regulation of the system. These steps together constitute the basic operating framework of the photovoltaic storage system.

[0005] Although the existing technology has achieved certain results, there are still a lot of technical problems of manual intervention in the charging and discharging strategies and shield adjustment. Specifically, the existing system often lacks intelligent control means and cannot make real-time and accurate adjustments based on factors such as weather changes, grid demand and energy storage status. This not only leads to low energy utilization efficiency, but also increases the operating cost and labor burden of the system. In addition, the existing technology also lacks efficient configuration strategies for the shield area and the power of the air-cooled and water-cooled system, and cannot maximize economic benefits while ensuring system stability. Summary of the invention

[0006] Based on this, the purpose of the present invention is to provide a solar storage system and system to solve the technical problem that the existing methods require a lot of manual intervention in charging and discharging strategies and mask adjustment.

[0007] In view of the above problems, the present application provides a photovoltaic storage system and system.

[0008] The present application provides a photovoltaic storage system, comprising the following steps: collecting and analyzing weather data to obtain a weather data set; obtaining a power generation calculation result set based on the weather data set; calculating the actual power generation based on the weather data set and the power generation calculation result set; analyzing the power consumption required to adjust the shield area; calculating the charging and discharging status of the energy storage system based on the grid demand and the state of the energy storage system; calculating the net profit under different combinations of shield area percentages and air-cooling and water-cooling system power percentages based on the actual power generation, power consumption, energy storage system charging and discharging status, electricity sales price, storage cost, unit electricity price, fixed cost and air-cooling and water-cooling system cooling cost; finding the shield area percentage and the corresponding optimal air-cooling and water-cooling system power percentage that maximize the net profit through iterative calculation; and applying the optimal shield area percentage and the corresponding optimal power percentage to the photovoltaic storage system.

[0009] In summary, the present invention mainly has the following beneficial effects:

[0010] 1. The present invention collects and analyzes weather data, calculates the actual power generation, considers the power consumption required for adjusting the shielding area, formulates a charging and discharging strategy according to the grid demand and the state of the energy storage system, and improves the overall performance and economy of the photovoltaic storage system through comprehensive evaluation and optimization.

[0011] 2. The present invention calculates the net benefits under different shielding areas and power combinations of air-cooling and water-cooling systems based on actual power generation, grid demand, energy storage status and cost factors, thereby achieving efficient allocation of resources, establishing a cooling cost model for air-cooling and water-cooling systems, and calculating the total net benefit by comprehensively considering multiple factors to optimize the cooling strategy, reduce the cooling cost and energy consumption of the system, and improve the overall economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 It is a logical schematic diagram of the present invention DETAILED DESCRIPTION

[0013] The following will be combined with the accompanying drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0014] The following describes an embodiment of the present invention based on its overall structure.

[0015] A solar storage system comprises the following steps:

[0016] S100: Collect and analyze weather data to obtain a weather data set;

[0017] In the initial stage of intelligent control of the solar energy storage system, it is necessary to first set the search range of the percentage of the solar panel area to be shielded and the percentage of the air-cooling and water-cooling system power. This step is the basis for subsequent iterative calculations and is used to determine a reasonable parameter adjustment range to find the optimal solution.

[0018] The percentage of the solar panel area covered refers to the area ratio of the solar panel covered. By adjusting the area of ​​the cover, the amount of solar radiation received by the solar panel can be affected, which in turn affects the amount of power generated. The percentage of the air-cooled or water-cooled system power refers to the ratio of the power consumed by the air-cooled or water-cooled system during operation to its rated power. Adjusting this parameter can affect the cooling effect of the system, thereby coordinating the temperature and power generation efficiency of the solar panel.

[0019] S200: acquiring a power generation calculation result set according to the weather data set;

[0020] Wherein S200 includes the following steps:

[0021] S210: Analyze the weather data set to obtain the fluctuation range and trend parameters of the solar radiation intensity;

[0022] S220: Collecting solar panel operating parameters, setting the initial value and adjustment range of the shielding area percentage;

[0023] S230: collecting performance parameters of the air-cooling and water-cooling systems, and setting the initial value and adjustment range of the power percentage;

[0024] The setting of the mask area percentage is based on the following function:

[0025] A shade =A adj *x+B

[0026] Among them, A shade Indicates the relationship between the mask area percentage and the adjustment coefficient, x is the adjustment coefficient, A adj is the solar panel area adjustment coefficient, and B is the basic shielding area.

[0027] In the intelligent regulation process of the photovoltaic storage system, solar radiation intensity is a crucial parameter. It directly affects the power generation efficiency of the solar panels, which in turn determines the overall performance and net benefits of the system. Therefore, it is necessary to conduct in-depth analysis of the weather data set to obtain the fluctuation range and trend parameters of solar radiation intensity.

[0028] Analyzing weather data sets can help us understand the changing patterns of solar radiation intensity, including its daily, seasonal, and interannual variations. This regular information is crucial for developing reasonable parameter adjustment strategies. By obtaining the fluctuation range and trend parameters of solar radiation intensity, we can more accurately predict future solar radiation intensity, thereby optimizing the adjustment strategy of the shading area percentage and the air-cooling and water-cooling system power percentage.

[0029] By obtaining the fluctuation range and trend parameters of solar radiation intensity, a more accurate and powerful basis can be provided for subsequent parameter adjustment and optimization. This can not only improve the power generation efficiency of solar panels, but also reduce the operating cost of the system, thereby improving the overall performance and economic benefits of the photovoltaic storage system.

[0030] The operating parameters of solar panels, such as temperature, conversion efficiency, light intensity, etc., have an important impact on the setting and adjustment of the mask area percentage. Therefore, we need to collect these operating parameters and set the initial value and adjustment range of the mask area percentage according to the actual situation.

[0031] Collecting solar panel operating parameters can help us understand the actual operating status and performance of solar panels. By setting a reasonable initial value and adjustment range of the mask area percentage, the mask area can be dynamically adjusted according to the changes in operating parameters to optimize the power generation efficiency of the solar panel. At the same time, a reasonable adjustment range can also ensure that the adjustment of the mask area is within a feasible and effective range, avoiding meaningless attempts and waste of resources.

[0032] Collecting the performance parameters of the air-cooled and water-cooled systems can help us understand the cooling effect and energy consumption characteristics of the system. By setting a reasonable initial value and adjustment range for the power percentage, the power percentage can be dynamically adjusted according to the actual needs of the system to optimize the cooling effect and energy consumption performance of the system. At the same time, a reasonable adjustment range can also ensure that the power percentage is adjusted within a feasible and effective range to avoid overcooling or excessive energy consumption.

[0033] And the cooling effect and energy consumption of the system can be controlled more accurately. This can not only improve the stability and reliability of the system, but also reduce the operating cost of the system, thereby improving the overall performance and economic benefits of the photovoltaic storage system.

[0034] S300: Calculating actual power generation according to the weather data set and the power generation calculation result set;

[0035] The calculation of actual power generation is a key step in evaluating the performance of a solar-energy storage system. By comprehensively considering factors such as weather conditions, the effective light-receiving area of ​​solar panels, and conversion efficiency, the actual power generation capacity of the system can be more accurately reflected. This is crucial for formulating reasonable operating strategies, optimizing resource allocation, and improving the overall benefits of the system.

[0036] S300 includes the following steps:

[0037] S310: Analyze the weather data set to obtain the solar radiation intensity prediction parameters for the current and future period;

[0038] S320: Calculate the effective light receiving area of ​​the solar panel according to the percentage of the mask area;

[0039] S330: Calculate actual power generation using a conversion efficiency curve of the solar panel;

[0040] The actual power generation conversion efficiency curve calculation formula is as follows:

[0041] E gen =η(I, T)*S eff

[0042] Where E gen represents the actual power generation, η(I, T) is the mapping value of solar radiation intensity I and temperature T, and S represents the effective light-receiving area, that is, the part that is not covered.

[0043] Obtaining accurate solar radiation intensity prediction parameters is crucial for calculating actual power generation. By predicting the parameters, the power generation potential of solar panels in different time periods can be more accurately evaluated, thereby formulating reasonable operation plans and scheduling strategies.

[0044] Calculating the effective light receiving area can more accurately evaluate the power generation potential of solar panels under different shading conditions. Through this step, the setting of the shading area can be optimized, the power generation efficiency of the solar panel can be improved, and the overall power generation of the system can be increased.

[0045] The conversion efficiency of a solar panel refers to its ability to convert solar radiation into electrical energy. Using the conversion efficiency curve of a solar panel to calculate the actual power generation can more accurately reflect the actual power generation capacity of the system. Through this step, the performance of the system can be evaluated more accurately, providing strong data support for the subsequent formulation and optimization of operational strategies. At the same time, this step can also provide an important reference for the system's revenue forecast and cost analysis.

[0046] S400: Analyzing the power consumption required to adjust the mask area;

[0047] Analyzing the power consumption required to adjust the shield area is crucial to developing a reasonable control strategy. By understanding the energy consumption cost during the adjustment process, the benefits of adjusting the shield area can be more comprehensively evaluated, thereby avoiding unnecessary energy waste. At the same time, this step also helps to optimize the adjustment strategy of the shield area and achieve dual optimization of power generation efficiency and energy consumption cost.

[0048] S400 includes the following steps:

[0049] S410: Collecting energy consumption characteristics of the mask area adjustment mechanism and obtaining adjustment energy consumption parameters;

[0050] S420: Calculate the energy consumption required for adjustment according to the change of the mask area before and after the adjustment, and obtain the adjustment power consumption required for adjusting the mask area.

[0051] The calculation formula for regulating power consumption is as follows:

[0052] E c =E m +E e

[0053] Among them, E c Indicates the power consumption of regulation, E m Represents the driving energy consumption curve, E e Start-stop energy consumption.

[0054] The energy consumption characteristics of the mask area adjustment mechanism are one of the key factors affecting the power consumption of the adjustment. Although frequent adjustments can save energy, the adjustment itself also consumes energy. Obtaining the adjustment energy consumption parameters is the basis for calculating the power consumption of adjusting the mask area. By understanding the energy consumption characteristics of the mask area adjustment mechanism, the energy consumption cost during the adjustment process can be more accurately evaluated, thereby formulating a more reasonable control strategy.

[0055] Calculating the power consumption required to adjust the shade area can more comprehensively evaluate the benefits of shade area adjustment. By understanding the energy cost during the adjustment process, it is possible to more accurately determine whether the shade area adjustment is economically feasible, thereby formulating a more reasonable regulation strategy. At the same time, this step also helps to optimize the shade area adjustment strategy and achieve dual optimization of power generation efficiency and energy consumption cost. For example, when the solar radiation intensity is low or the system power generation efficiency is already high, it may be necessary to avoid unnecessary shade area adjustments to reduce energy consumption costs.

[0056] S500: Calculating the charging and discharging status of the energy storage system according to the grid demand and the state of the energy storage system;

[0057] In the integrated operation of smart grids and photovoltaic storage systems, the charging and discharging conditions of energy storage systems are of great significance for balancing grid demand, optimizing energy configuration and improving the overall efficiency of the system.

[0058] By comprehensively considering the grid demand and the state of the energy storage system, a more reasonable and efficient energy storage system charging and discharging strategy can be developed. This helps balance the supply and demand of the grid, reduce energy waste, and improve the stability and economy of the system. At the same time, optimizing the charging and discharging strategy of the energy storage system can also extend the life of the energy storage equipment and reduce operation and maintenance costs.

[0059] S500 includes the following steps:

[0060] S510: Collect and obtain current demand and planned demand parameters of the power grid;

[0061] S520: monitoring the current state of the energy storage system, wherein the monitoring of the current state of the energy storage system includes remaining capacity and charging / discharging rate;

[0062] S530: Calculate the optimal charging and discharging strategy of the energy storage system according to the grid demand and the state of the energy storage system. The optimal charging and discharging strategy of the energy storage system obtains multiple results by simulating the charging and discharging strategy function, and traverses all the results to obtain the optimal value:

[0063] Among them, the charge and discharge strategy function is as follows:

[0064] P b (t) = max{P grid (t)-P load (t), 0}

[0065] Where P b (t) The charging and discharging power of the energy storage system at time t. A positive value indicates discharging, and a negative value indicates charging. grid (t) represents the demand of the power grid at time t, P load (t) represents the load demand at time t. This function means that under the premise of meeting the load demand, the excess power of the power grid is used as much as possible for charging, or discharged to supplement when the power grid demand is insufficient.

[0066] The current demand and planned demand parameters of the power grid are important bases for formulating the charging and discharging strategy of the energy storage system. Step S510 acquires the current demand and future planned demand parameters of the power grid by collecting real-time data and planning information of the power grid. These parameters include the load curve of the power grid, peak and valley periods, demand forecasts, etc., which are crucial to determining the charging and discharging time and capacity of the energy storage system.

[0067] The current state of the energy storage system includes key parameters such as remaining capacity and charge / discharge rate, which directly affect the charging and discharging capacity and efficiency of the energy storage system.

[0068] Monitoring the current status of the energy storage system can provide real-time information about the operation and capacity of the energy storage system, thereby developing a charging and discharging strategy that is more in line with the actual situation. This helps to avoid problems such as overcharging, overdischarging or power mismatch during the charging and discharging process of the energy storage system, and improves the safety and reliability of the energy storage system.

[0069] Through the simulation of the charging and discharging strategy function, multiple possible charging and discharging strategy results are obtained. Then, by traversing all the results, the economic benefits of the energy storage system, grid stability, equipment life and other factors are comprehensively considered to select the optimal charging and discharging strategy.

[0070] By simulating and traversing the results of multiple charging and discharging strategies, we can have a more comprehensive and in-depth understanding of the impact of different strategies on the power grid and energy storage system. We can formulate an optimal charging and discharging strategy that is more in line with the actual situation and needs, and achieve dual optimization of the power grid and energy storage system. At the same time, we can improve the operating efficiency and economic benefits of the energy storage system, and provide more reliable and efficient support for the integrated operation of smart grids and photovoltaic storage systems.

[0071] S600: Calculate the net income under different combinations of shading area percentages and air-cooling and water-cooling system power percentages based on actual power generation, power consumption, energy storage system charging and discharging conditions, power sales price, storage cost, unit power price, fixed costs, and air-cooling and water-cooling system cooling costs;

[0072] By calculating the net income under different conditions, we can have a more comprehensive understanding of the economic performance and operational benefits of the photovoltaic storage system. This helps to formulate more reasonable operational strategies, optimize resource allocation, and improve the overall benefits of the system. At the same time, this step also helps to provide an important reference for investment decisions, operational optimization, and cost control of photovoltaic storage systems.

[0073] S600 includes the following steps:

[0074] S610: Collect current values ​​or set values ​​of electricity sales price, storage cost, unit electricity price and fixed cost;

[0075] S620: Establish a cooling cost model for the air-cooling and water-cooling system;

[0076] S630: Calculate total net income;

[0077] Among them, the cooling cost model of the air-cooled and water-cooled system is as follows:

[0078] C cool (P cool )=a*P cool 2 +bP cool +C

[0079] Among them, C cool (Pcool ) indicates the air-cooling or water-cooling system at power percentage P cool The cooling cost under the condition of , a, b, c are constant coefficients, which represent the quadratic function relationship between cooling cost and power percentage.

[0080] The total net income calculation formula is as follows:

[0081] P net =E gen *P sell -E c -C store -C cool -C fix

[0082] Among them, R net is the total net income, E gen is the actual power generation, P sell is the price per unit of electricity, C cool is the cooling cost, C store is the storage cost, E c is the power consumption for production, C fix For fixed costs.

[0083] The electricity price, storage cost, unit electricity price and fixed cost are the key factors affecting the net profit of the solar energy storage system. By collecting or setting the values ​​of these parameters in real time, the accuracy and reliability of the net profit calculation can be ensured. This helps to formulate an operation strategy that is more in line with the actual situation and improve the economic performance of the system.

[0084] Establishing a cooling cost model for air-cooled and water-cooled systems can more accurately evaluate the cooling cost of the system, thereby optimizing the system's operating strategy. By comprehensively considering multiple factors of the system, a more reasonable cooling strategy can be formulated to reduce the system's operating costs and improve the system's economic performance.

[0085] Calculating the total net income can provide a more comprehensive understanding of the economic performance and operational benefits of the PV storage system. By comprehensively considering multiple factors, the net income results under different conditions can be obtained, so as to formulate a more reasonable operation strategy, optimize resource allocation, and improve the overall benefits of the system. At the same time, this step also helps to provide an important reference for investment decisions, operation optimization and cost control of the PV storage system.

[0086] S700: Find the percentage of the hood area that maximizes the net benefit and the corresponding optimal air-cooling and water-cooling system power percentage through iterative calculation;

[0087] In the process of optimizing the operation of the solar-storage system, determining the optimal shading area percentage and air-cooling and water-cooling system power percentage is crucial to maximizing the net benefit. Through iterative calculation, all possible combinations of shading area percentage and air-cooling and water-cooling system power percentage can be systematically traversed to find the optimal solution.

[0088] S700 includes the following steps:

[0089] S710: Design algorithms and processes for iterative calculations;

[0090] S720: traverse each mask area percentage, perform iterative calculation within a set power percentage range, and obtain an iterative calculation result parameter set;

[0091] S730: Arrange the iterative calculation result parameter set to obtain the optimal shielding area percentage and the corresponding air-cooling and water-cooling system power percentage;

[0092] Among them, the objective function of iterative calculation is as follows:

[0093] maxR net (A test , P cool )

[0094] The function represents the percentage of mask area A. test And power percentage P cool Under the condition of net The optimal solution finally found is the mask area percentage and the corresponding optimal power percentage, which should satisfy:

[0095]

[0096] Among them, A opt is the optimal mask area percentage, P opt (A opt ) is the same as A opt The corresponding optimal power percentage, P cool A is the power percentage of the air-cooling and water-cooling system. test The percentage of the mask area that is within the set range.

[0097] Traverse each mask area percentage, perform iterative calculation within the set power percentage range, and obtain the iterative calculation result parameter set. Traverse all possible mask area percentages, and iteratively calculate the air-cooled and water-cooled system power percentage under each mask area percentage. This step systematically traverses all possible combinations, collects and stores the iterative calculation result parameter set, and provides basic data for subsequent comparison and selection.

[0098] By systematically traversing and calculating, we can avoid missing any possible optimal combination, thereby increasing the probability of finding the optimal solution. Sorting out and analyzing the iterative calculation results is a necessary step to obtain the optimal solution. By comparing and analyzing the net benefits under different combinations, we can find the optimal combination of shading area percentage and air-cooling and water-cooling system power percentage, thereby achieving the economy and efficiency of the system. At the same time, this step also helps to verify the accuracy and reliability of iterative calculations, providing strong support for the operational optimization of the photovoltaic storage system.

[0099] S800: Apply the optimal mask area percentage and the corresponding optimal power percentage to the optical storage system.

[0100] The found optimal mask area percentage and the corresponding optimal power percentage are input into the control system of the solar storage system;

[0101] The control system adjusts the solar panel shielding area and the power output of the air-cooling and water-cooling system according to the optimal input parameters;

[0102] Monitor and record the operating status and performance data of the adjusted photovoltaic storage system.

[0103] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements a method for assembling tree-structured data in reverse order; an electronic device includes a processor and a memory, in which a computer program is stored, and when executed by the processor, the computer program implements a method for assembling tree-structured data in reverse order.

[0104] Those skilled in the art will understand that the various digital numbers such as the first and second involved in this application are only for the convenience of description, and are not used to limit the scope of this application, nor do they indicate a sequence of precedence. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the objects associated with each other are in an "or" relationship. "At least one" refers to one or more. At least two refers to two or more. "At least one", "any one" or similar expressions refer to any combination of these items, including any combination of single items (individuals) or plural items (individuals). For example, at least one item (individual, kind) of a, b, or c can represent: a, b, c, ab, ac, bc, or abc, where a, b, c can be single or multiple.

[0105] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function described in this application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0106] The steps of the method or algorithm described in this application can be directly embedded in hardware, software units executed by a processor, or a combination of the two. The software unit can be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, register, hard disk, removable disk, CD-ROM or any other form of storage medium in the art. Exemplarily, the storage medium can be connected to the processor so that the processor can read information from the storage medium and write information to the storage medium. Optionally, the storage medium can also be integrated into the processor. The processor and the storage medium can be arranged in an ASIC, and the ASIC can be arranged in a terminal. Optionally, the processor and the storage medium can also be arranged in different components in the terminal. These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are performed on the computer or other programmable device to produce a computer-implemented process, so that the instructions executed on the computer or other programmable device provide for implementing the process in the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0107] Although the present application has been described in conjunction with specific features and embodiments thereof, it is obvious that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application is intended to include these modifications and variations.

Claims

1. A solar energy storage system, characterized in that: The following steps are involved: Collect and analyze weather data to obtain weather data sets; Acquire a power generation calculation result set according to the weather data set; Calculating actual power generation according to the weather data set and the power generation calculation result set; Analyze the power consumption required to adjust the mask area; Calculate the charging and discharging status of the energy storage system based on the grid demand and the status of the energy storage system; Based on the actual power generation, power consumption, charging and discharging of the energy storage system, electricity sales price, storage cost, unit electricity price, fixed cost and cooling cost of the air-cooling and water-cooling system, calculate the net income under different combinations of shading area percentage and air-cooling and water-cooling system power percentage; Through iterative calculation, find the percentage of the hood area that maximizes the net benefit and the corresponding optimal air-cooling and water-cooling system power percentage; Apply the optimal mask area percentage and the corresponding optimal power percentage to the optical storage system.

2. The photovoltaic storage system according to claim 1, characterized in that: The step of obtaining a set of power generation calculation results according to the weather data set includes: Analyze weather data sets to obtain fluctuation range and trend parameters of solar radiation intensity; Collect the working parameters of the solar panel and set the initial value and adjustment range of the shielding area percentage; Collect the performance parameters of the air-cooling and water-cooling systems, and set the initial value and adjustment range of the power percentage; The setting of the mask area percentage is based on the following function: A shade =A adj *x+B Among them, A shade Indicates the relationship between the mask area percentage and the adjustment coefficient, x is the adjustment coefficient, A adj is the solar panel area adjustment coefficient, and B is the basic shielding area.

3. The photovoltaic storage system according to claim 2, characterized in that: The calculating of actual power generation comprises: Analyze weather data sets to obtain prediction parameters of solar radiation intensity at present and in the future; Calculate the effective light-receiving area of ​​the solar panel based on the percentage of the mask area; Use the conversion efficiency curve of solar panels to calculate the actual power generation; The actual power generation conversion efficiency curve calculation formula is as follows: E gen =η(I,T)*S eff Where E gen represents the actual power generation, η(I, T) is the mapping value of solar radiation intensity I and temperature T, and S represents the effective light-receiving area, that is, the part that is not covered.

4. The solar storage system according to claim 3, characterized in that: The power consumption required for analyzing and adjusting the mask area includes: Collect the energy consumption characteristics of the mask area adjustment mechanism and obtain the adjustment energy consumption parameters; According to the change of the mask area before and after the adjustment, the energy consumption required for adjustment is calculated to obtain the regulating power consumption required for adjusting the mask area. The calculation formula for regulating power consumption is as follows: AND c =And m +E e Among them, E c Indicates the power consumption of regulation, E m Represents the driving energy consumption curve, E e Start-stop energy consumption.

5. The photovoltaic storage system according to claim 4, characterized in that: The calculation of the charging and discharging status of the energy storage system according to the grid demand and the state of the energy storage system includes: Collect and obtain the current demand and planned demand parameters of the power grid; Monitoring the current state of the energy storage system, wherein monitoring the current state of the energy storage system includes remaining capacity and charging / discharging rate; According to the grid demand and the state of the energy storage system, the optimal charging and discharging strategy of the energy storage system is calculated. The optimal charging and discharging strategy of the energy storage system is simulated by the charging and discharging strategy function to obtain multiple results, and all results are traversed to obtain the optimal value: Among them, the charge and discharge strategy function is as follows: P b (t)=max{P grid (t)-P load (t),0} Where P b (t) The charging and discharging power of the energy storage system at time t. A positive value indicates discharging, and a negative value indicates charging. grid (t) represents the demand of the power grid at time t, P load (t) represents the load demand at time t. This function means that under the premise of meeting the load demand, the excess power of the power grid is used as much as possible for charging, or discharged to supplement when the power grid demand is insufficient.

6. The photovoltaic storage system according to claim 5, characterized in that: The calculation of the net benefits under different combinations of shroud area percentages and air-cooling and water-cooling system power percentages includes: Collect current or set values ​​of electricity sales price, storage cost, unit electricity price and fixed cost; Establish cooling cost model for air-cooled and water-cooled systems; Calculate total net income; Among them, the cooling cost model of the air-cooled and water-cooled system is as follows: C cool (P cool )=a*P cool 2 +bP cool +C Among them, C cool (P cool ) indicates the air-cooling or water-cooling system at power percentage P cool The cooling cost under the condition of , a, b, c are constant coefficients, which represent the quadratic function relationship between cooling cost and power percentage. The total net income calculation formula is as follows: R net =E gen *P sell -E c -C store -C cool -C fix Among them, R net is the total net income, E gen is the actual power generation, P sell is the price per unit of electricity, C cool is the cooling cost, C store is the storage cost, E c is the power consumption for production, C fix For fixed costs.

7. The photovoltaic storage system according to claim 6, characterized in that: Through iterative calculation, the percentage of shading area that maximizes the net benefit and the corresponding optimal air-cooling and water-cooling system power percentage are found, including: Design algorithms and processes for iterative computing; Traverse each mask area percentage, perform iterative calculation within the set power percentage range, and obtain an iterative calculation result parameter set; Arranging the iterative calculation result parameter set to obtain the optimal shielding area percentage and the corresponding air-cooling and water-cooling system power percentage; Among them, the objective function of iterative calculation is as follows: maxR net (A test ,P cool ) The function represents the percentage of mask area A. test And power percentage P cool Under the condition of net The optimal solution finally found is the mask area percentage and the corresponding optimal power percentage, which should satisfy: Among them, A opt is the optimal mask area percentage, P opt (A opt ) is the same as A opt The corresponding optimal power percentage, P cool A is the power percentage of the air-cooling and water-cooling system. test The percentage of the mask area that is within the set range.

8. The photovoltaic storage system according to claim 1, characterized in that: The method of applying the optimal mask area percentage and the corresponding optimal power percentage to the optical storage system includes: The found optimal mask area percentage and the corresponding optimal power percentage are input into the control system of the solar storage system; The control system adjusts the solar panel shielding area and the power output of the air-cooling and water-cooling system according to the optimal input parameters; Monitor and record the operating status and performance data of the adjusted photovoltaic storage system.

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