Operation optimization method and device of optical storage system, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses an operation optimization method and device of an optical storage system, electronic equipment and a storage medium. The operation optimization method comprises the steps that actual power generation information and actual energy storage information of the optical storage system are acquired; constructing a system model corresponding to the optical storage system according to the actual power generation information and the actual energy storage information; determining optimization functions corresponding to different optimization strategies; and optimizing the operation of the optical storage system according to the optimization function and the system model. According to the scheme, it can be ensured that the optical storage system can meet different operation states, and therefore the economical efficiency and environmental protection performance of the optical storage system are improved.

Description

Technical Field

[0001] The present application relates to the field of photovoltaic technology, and in particular to an operation optimization method, device, electronic device and storage medium for a photovoltaic storage system. Background Art

[0002] Renewable energy sources such as photovoltaics have the advantages of clean, pollution-free, environmentally friendly, and no greenhouse gas emissions in their power generation process. However, due to the inherent disadvantages of photovoltaic systems such as low energy density, uncertainty, and inaccuracy, they have a great negative impact on grid dispatching, operation, and protection control, leading to large-scale "wind abandonment" and "light abandonment" problems. How to increase the proportion of renewable energy consumption while ensuring the safety and stability of the power grid is currently one of the main obstacles to the development of renewable energy.

[0003] To this end, many systems have added energy storage systems as supporting equipment. However, the operation modes of energy storage and photovoltaic systems are relatively independent. Energy storage systems usually discharge during peak electricity price periods and charge during low electricity price periods. Photovoltaic systems usually "surplus power is connected to the grid" or "abandoned light". The two are not combined to achieve the purpose of smoothing photovoltaic fluctuations and obtaining better economic efficiency. How to achieve better system economic efficiency and environmental protection goals through the reasonable operation of photovoltaic storage systems is one of the key issues at present. Summary of the invention

[0004] The embodiments of the present application provide an operation optimization system, method, electronic device and storage medium of a photovoltaic storage system, which can optimize the operation of the photovoltaic storage system, thereby improving the economy and environmental protection of the photovoltaic storage system.

[0005] In a first aspect, an embodiment of the present application provides an operation optimization method of a photovoltaic storage system, comprising:

[0006] Obtain the actual power generation information and actual energy storage information of the photovoltaic storage system;

[0007] Constructing a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information;

[0008] Determine the optimization functions corresponding to different optimization strategies;

[0009] The operation of the photovoltaic storage system is optimized according to the optimization function and the system model.

[0010] Optionally, in some embodiments of the present application, constructing a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information includes:

[0011] Obtain reference power generation information and reference energy storage information corresponding to the photovoltaic storage system under standard conditions;

[0012] Constructing a characteristic model corresponding to the power generation of the photovoltaic storage system according to the actual power generation information and the reference power generation information;

[0013] Constructing an energy storage model corresponding to the power generation of the photovoltaic storage system according to the actual energy storage information;

[0014] Based on the characteristic model and the energy storage model, a system model corresponding to the photovoltaic energy storage system is constructed.

[0015] Optionally, in some embodiments of the present application, constructing a characteristic model corresponding to the power generation power of the photovoltaic storage system according to the actual power generation information and the reference power generation information includes:

[0016] Acquire the actual power generation power and actual irradiance of the photovoltaic storage system from the actual power generation information;

[0017] Acquire a reference power generation power and a reference irradiance of the photovoltaic storage system under a preset state from the reference power generation information;

[0018] A characteristic model corresponding to the power generation of the photovoltaic storage system is constructed according to the actual power generation, actual irradiance, reference power generation and reference irradiance.

[0019] Optionally, in some embodiments of the present application, constructing an energy storage model corresponding to the power generation of the photovoltaic storage system according to the actual energy storage information includes:

[0020] Acquiring the energy storage charge state of the photovoltaic storage system at different times from the actual energy storage information;

[0021] Based on the energy storage charge state of the photovoltaic storage system at different times, an energy storage model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0022] Optionally, in some embodiments of the present application, constructing a system model corresponding to the photovoltaic energy storage system based on the characteristic model and the energy storage model includes:

[0023] Determine the system constraint conditions corresponding to the photovoltaic storage system according to the power limit of each device in the photovoltaic storage system, the actual power generation power and the energy storage charge state;

[0024] Based on the system constraints, characteristic model and energy storage model, a system model corresponding to the photovoltaic energy storage system is constructed.

[0025] Optionally, in some embodiments of the present application, optimizing the operation of the photovoltaic storage system according to the optimization function and the system model includes:

[0026] Solving the optimization function to obtain an optimization result;

[0027] The optimization result is applied to the system model to optimize the operation of the photovoltaic storage system.

[0028] Optionally, in some embodiments of the present application, the method further includes:

[0029] Obtaining solar radiation count values ​​and temperature data values ​​collected by the photovoltaic panels in the solar energy storage system;

[0030] Based on the solar radiation count value and the temperature data value, estimating the estimated power generation corresponding to the solar energy storage system;

[0031] A safety warning is issued to the photovoltaic storage system according to the actual power generation and the estimated power generation.

[0032] In a second aspect, an embodiment of the present application provides an operation optimization device for a photovoltaic storage system, comprising:

[0033] An acquisition module is used to obtain actual power generation information and actual energy storage information of the photovoltaic storage system;

[0034] A construction module, used to construct a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information;

[0035] A determination module is used to determine the optimization functions corresponding to different optimization strategies;

[0036] The optimization module is used to optimize the operation of the photovoltaic storage system according to the optimization function and the system model.

[0037] Correspondingly, the present application also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the steps of any of the above methods when executing the program.

[0038] The present application also provides a storage medium, wherein the storage medium stores a computer program, and the computer program implements any of the above methods when the computer program is executed by a processor.

[0039] The present application provides an operation optimization method, device, electronic device and storage medium of a photovoltaic storage system. After obtaining the actual power generation information and actual energy storage information of the photovoltaic storage system, a system model corresponding to the photovoltaic storage system is constructed according to the actual power generation information and the actual energy storage information. Then, the optimization function corresponding to different optimization strategies is determined. Finally, according to the optimization function and the system model, the operation of the photovoltaic storage system is optimized. In the operation optimization scheme of the photovoltaic storage system provided in the present application, a system model corresponding to the photovoltaic storage system can be constructed according to the actual power generation information and the actual energy storage information. Finally, according to the system model and the optimization functions corresponding to different optimization strategies, the operation of the photovoltaic storage system is optimized to ensure that the photovoltaic storage system can meet different operating conditions, thereby improving the economy and environmental protection of the photovoltaic storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0041] Figure 1 is a flow chart of an operation optimization method of a photovoltaic storage system provided in an embodiment of the present application;

[0042] Figure 2 is another flow chart of the operation optimization method of the photovoltaic storage system provided in an embodiment of the present application;

[0043] Figure 3 is a schematic diagram of the structure of an operation optimization device for a photovoltaic storage system provided in an embodiment of the present application;

[0044] Figure 4 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of systems and methods consistent with the examples detailed in the attached claims, or with some aspects of the present application.

[0046] It should be noted that, in this article, the terms "include", "comprises" or any other variants thereof are intended to cover descriptions such as non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element. In addition, components, features, and elements with the same name in different embodiments of the present application may have the same meaning or different meanings, and their specific meanings need to be determined by their explanation in the specific embodiment or further combined with the context of the specific embodiment.

[0047] It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0048] In the subsequent description, the suffixes such as "module", "component" or "unit" used to represent elements are only used to facilitate the description of the present application, and have no specific meanings. Therefore, "module", "component" or "unit" can be used in a mixed manner.

[0049] Embodiments of the present application provide a method, device, electronic device, and storage medium for optimizing the operation of an optical storage system.

[0050] The operation optimization device of the optical storage system can be deployed in a terminal, and the terminal can be a smart phone, a tablet, an intelligent audio and video interactive device, etc. As mentioned above, the terminal 102 is often configured with a display device, and the display device can also be a display, a display screen, a touch screen, etc. The touch screen can also be a touch screen, a touch panel, etc., but is not limited to this. The terminal can communicate with the server in a wired or wireless manner. The server can include an independently running server or a distributed server, or a server cluster composed of multiple servers. The terminal can include a mobile phone, a tablet computer or a personal computer (PC, Personal Computer).

[0051] It should be noted that the order of description of the following embodiments is not intended to limit the priority order of the embodiments.

[0052] The present application provides an operation optimization method for a photovoltaic storage system, including: obtaining actual power generation information and actual energy storage information of the photovoltaic storage system; constructing a system model corresponding to the photovoltaic storage system based on the actual power generation information and the actual energy storage information; determining optimization functions corresponding to different optimization strategies; and optimizing the operation of the photovoltaic storage system based on the optimization function and the system model.

[0053] See also Figure 1 , Figure 1 : is a flow chart of the operation optimization method of the photovoltaic storage system provided in the present application, and the operation optimization method of the photovoltaic storage system specifically includes the following process:

[0054] 101. Obtain actual power generation information and actual energy storage information of the photovoltaic storage system.

[0055] The actual power generation information can include solar irradiance meter data, photovoltaic panel temperature and actual power generation. For example, a solar irradiance meter can be used to measure the amount of solar radiation received by the photovoltaic panel; a temperature sensor can be used to monitor the temperature of the photovoltaic panel; and an electric energy meter or power meter can be used to measure the actual output power of the photovoltaic system. The above data is recorded and analyzed using data analysis tools to obtain the actual power generation information of the photovoltaic storage system. The actual energy storage information includes the actual state of charge

[0056] Acquiring actual energy storage information can include information such as actual state of charge, charge and discharge rates, and battery performance parameters. Specifically, sensors and monitoring equipment can be used to track the battery's state of charge; record the battery's charge and discharge rates to ensure that they are within a safe and effective operating range. In addition, the number of battery charge and discharge cycles can also be recorded, which is crucial for predicting battery life and maintenance plans.

[0057] 102. Based on the actual power generation information and actual energy storage information, a system model corresponding to the photovoltaic energy storage system is constructed.

[0058] In the embodiments of the present application, the main functions of the system model include: predicting the performance of the photovoltaic storage system under different operating conditions, providing data support for the design, operation and maintenance of the photovoltaic storage system, and identifying and managing potential risks of the photovoltaic storage system.

[0059] First, a physical or empirical model is established to describe the characteristic model of how photovoltaic panels convert solar energy into electrical energy. At the same time, an energy storage model is established to describe the process of storing electricity in the photovoltaic storage system. The characteristic model can be based on semiconductor physics, such as a characteristic model that considers the current-voltage of photovoltaic panels, or a characteristic model that considers the effect of temperature on the performance of photovoltaic panels; the energy storage model can be an empirical model, such as a temperature coefficient model that considers the effect of temperature on the performance of photovoltaic panels.

[0060] Optionally, in some embodiments of the present application, the step of “building a system model corresponding to the photovoltaic energy storage system according to actual power generation information and actual energy storage information” may specifically include:

[0061] Obtain reference power generation information and reference energy storage information corresponding to the photovoltaic storage system under standard conditions;

[0062] Based on the actual power generation information and the reference power generation information, a characteristic model corresponding to the power generation of the photovoltaic storage system is constructed;

[0063] Based on the actual energy storage information, an energy storage model corresponding to the power generation of the photovoltaic storage system is constructed;

[0064] Based on the characteristic model and energy storage model, a system model corresponding to the photovoltaic storage system is constructed.

[0065] Among them, the reference power generation information may include the output power of the photovoltaic panel under standard test conditions (STC: irradiance of 1000W / m2, battery temperature of 25°C); the reference energy storage information may include the performance parameters of the battery under standard conditions, such as nominal capacity, nominal voltage, charging and discharging efficiency, etc.

[0066] Standard conditions refer to a specific set of environmental conditions used to test and compare the performance of PV modules. These conditions are defined as international standards to ensure that the efficiency and performance of PV modules can be evaluated on a unified and standardized basis.

[0067] Here are some key parameters of the standard state:

[0068] Irradiance:

[0069] The irradiance under standard test conditions is usually set at 1000W / m 2 This is the power density of sunlight directly hitting the photovoltaic panel vertically.

[0070] Ambient Temperature:

[0071] The ambient temperature under standard test conditions is generally set to 20°C (some materials may use 25°C).

[0072] Cell Temperature:

[0073] The standard test temperature for photovoltaic cells is usually set at 25°C. This is because at this temperature, the performance of photovoltaic cells can be tested in a standardized manner.

[0074] Air Mass:

[0075] Under standard test conditions, the air mass (AM) is usually set to 1.5. Air mass is a parameter that describes the path length of the solar spectrum through the atmosphere. AM 1.5 means that the path length of the sun's rays through the atmosphere is 1.5 times the average path length on the earth's surface.

[0076] Wind speed and direction:

[0077] Although not explicitly stated in all standards, certain wind speeds and directions may be specified in some tests to simulate the cooling effects of natural conditions.

[0078] PV module performance data under standard test conditions (STC) are usually provided by manufacturers and used for product specifications and comparisons. These data include:

[0079] Short-circuit current (Isc): The short-circuit current of a photovoltaic module under standard conditions.

[0080] Open circuit voltage (Voc): The open circuit voltage of a photovoltaic module under standard conditions.

[0081] Maximum power (Pmax): The maximum power that a photovoltaic module can output under standard conditions.

[0082] Fill Factor (FF): A performance parameter of a photovoltaic module, which is the ratio of the maximum output power to the product of the open circuit voltage and the short circuit current.

[0083] Understanding the standard state is crucial for the design, evaluation and performance comparison of photovoltaic systems. However, the performance of photovoltaic modules in actual applications will be affected by actual environmental conditions, so it is necessary to use a characteristic model to convert the performance data under the standard state into performance predictions under actual operating conditions.

[0084] Specifically, the power generation data of the photovoltaic storage system under actual operating conditions can be collected, including real-time power output, ambient temperature, irradiance, etc.; and the power generation data of the photovoltaic storage system under standard conditions (i.e., standard test conditions (STC)) can be obtained, and then the performance parameters of the photovoltaic panels, such as efficiency, open circuit voltage, short circuit current, etc., can be analyzed. At the same time, the impact of environmental factors is analyzed, including the study of the impact of environmental factors such as irradiance and temperature on photovoltaic power generation performance. Next, based on the principles of semiconductor physics, an electrical characteristic model of the photovoltaic panel is constructed. At the same time, actual data fitting is used to construct empirical models, such as temperature coefficient models, irradiance response models, etc. Finally, based on the characteristics of the photovoltaic panels and environmental factors, a mathematical relationship between the power generation power and these parameters (such as temperature) is established.

[0085] Parameter estimation: Use actual power generation data to estimate model parameters such as temperature coefficient, irradiance coefficient, etc.

[0086] Optionally, in some embodiments of the present application, the step of “building a characteristic model corresponding to the power generation power of the photovoltaic storage system according to the actual power generation information and the reference power generation information” may specifically include:

[0087] Obtain the actual power generation power and actual irradiance of the photovoltaic storage system from the actual power generation information;

[0088] Obtaining reference power generation power and reference irradiance of the photovoltaic storage system under a preset state from reference power generation information;

[0089] According to the actual power generation power, actual irradiance, reference power generation power and reference irradiance, a characteristic model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0090] For example, obtain the actual power generation and actual irradiance data from the system monitoring equipment or database. Obtain the actual power generation and actual irradiance data from the technical specifications provided by the manufacturer or through laboratory testing under preset standard test conditions (such as STC: 1000W / m 2 The reference power generation and reference irradiance data of 25℃ battery temperature) are then used to determine the characteristic model of the photovoltaic system power generation, and the relationship model between the photovoltaic system power generation and the irradiation intensity and the photovoltaic panel temperature. The specific model is:

[0091]

[0092] ΔG=GG ref

[0093] ΔT=TT ref

[0094] Where P PV , P ref are the actual power generation and the power generation of the photovoltaic system under standard conditions; G and G ref The actual irradiance is the standard irradiance, G ref The value is 1000W / m2; T is the temperature of the photovoltaic panel; T ref is the photovoltaic panel temperature under standard conditions, 25°C; a, b, c are the power generation coefficients.

[0095] Optionally, in some embodiments of the present application, the step of “constructing an energy storage model corresponding to the power generation power of the photovoltaic storage system according to the actual energy storage information” may specifically include:

[0096] Obtain the energy storage charge state of the photovoltaic storage system at different times from the actual energy storage information;

[0097] Based on the energy storage charge state of the photovoltaic storage system at different times, an energy storage model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0098] State of Charge (SOC) is a key indicator to measure how much power a battery can store. It represents the ratio of the current power of the battery to its maximum power. SOC can be measured by open circuit voltage method, ampere-hour integration method, coulomb counting method, internal resistance method or machine learning method.

[0099] Furthermore, a suitable model can be selected according to the characteristics of the energy storage system, such as an RC circuit model, which describes the dynamic changes of the battery during charging and discharging, or an Ah-integral model. The Ah-integral model is a commonly used battery modeling method, which calculates the battery state of charge (SOC) based on the battery's charging and discharging current and time.

[0100] Optionally, in some embodiments of the present application, the step of “building an energy storage model corresponding to the power generation power of the photovoltaic storage system according to the actual energy storage information” may specifically include:

[0101] Obtaining the energy storage charge state of the photovoltaic storage system at different times from the actual energy storage information;

[0102] Based on the energy storage charge state of the photovoltaic storage system at different times, an energy storage model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0103] Specifically, a model of the energy storage system charging and discharging power and the system charge state can be established. The energy storage model is:

[0104] SOC t+Δt =SOC t +P t

[0105] Among them, Pt is the energy storage charging and discharging power at time t, SOCt is the energy storage charge state at time t, and SOCt+Δt is the energy storage charge state at time t+Δt.

[0106] Optionally, in some embodiments of the present application, the step of “building a system model corresponding to the photovoltaic energy storage system based on the characteristic model and the energy storage model” may specifically include:

[0107] Determine the system constraints corresponding to the photovoltaic storage system based on the power limit of each device in the photovoltaic storage system, the actual power generation power and the energy storage charge state;

[0108] Based on system constraints, characteristic model and energy storage model, a system model corresponding to the photovoltaic storage system is constructed.

[0109] For example, clarify the maximum and minimum power output limits of equipment such as photovoltaic arrays, energy storage batteries, and inverters.

[0110] Energy storage state of charge (SOC): Determine the SOC based on the current state and charge and discharge history of the energy storage battery, and set a safe range for the SOC. Ensure that the system's energy supply matches demand at any time. For example, ensure that all devices operate within their power limits (i.e., system constraints). Then, based on the system constraints, characteristic models, and energy storage models, a system model corresponding to the photovoltaic storage system is constructed, and the optimization goal of the objective function can be determined specifically, such as minimizing energy costs, maximizing energy self-sufficiency, or maximizing energy storage life. Then, select a suitable algorithm for system optimization, which may include linear programming, nonlinear programming, genetic algorithms, etc.

[0111] Specifically, based on the characteristic model and the energy storage system model, the overall model of the distributed photovoltaic storage system is established, the constraints such as the energy conservation constraints within the system are determined, and the inequality constraint model of the distributed photovoltaic storage system is established based on the power limit of each device and the energy storage charge state constraints. Among them, the energy conservation model is:

[0112] LE=P PV +P t +P gird

[0113] Where, L E is the power load, P grid It is the amount of electricity added to and removed from the grid. It is a negative value when the surplus electricity is added to the grid, and a positive value when electricity is purchased from the grid.

[0114] 103. Determine the optimization functions corresponding to different optimization strategies.

[0115] In a solar-storage system, different optimization strategies usually correspond to different optimization objectives. These optimization objectives can be achieved by defining an optimization function, which reflects the specific performance indicators that need to be maximized or minimized during system operation.

[0116] For example, the goal of the optimization function is to minimize the cost of the photovoltaic storage system, including electricity purchase cost, power generation cost, and energy storage operation cost, then the optimization function C = (electricity price x electricity purchase amount) + fixed cost + variable cost; for another example, the goal of the optimization function is to maximize resource utilization, which is achieved by reducing energy waste and improving energy conversion efficiency, then the optimization function Cn = total output energy / total input energy.

[0117] 104. Optimize the operation of the photovoltaic storage system based on the optimization function and the system model.

[0118] For example, combine the system model (including photovoltaic power generation model, energy storage model, load model, etc.) with the optimization function, and then clarify the system's operating constraints, such as equipment power limit, SOC limit, safety and regulatory requirements, etc. Next, select a suitable optimization algorithm based on the nature of the problem. Possible algorithms include linear programming, nonlinear programming, mixed integer programming, genetic algorithms, etc. Then, integrate the optimization function, system model, and constraints to construct an optimization problem. Finally, use the selected algorithms and tools (such as MATLAB, Python, etc.) to solve the optimization problem, and apply the optimization results to the actual operation of the photovoltaic storage system.

[0119] Optionally, in some embodiments of the present application, the step of “optimizing the operation of the photovoltaic storage system according to the optimization function and the system model” may specifically include:

[0120] Solve the optimization function and obtain the optimization result;

[0121] The optimization results are applied to the system model to optimize the operation of the photovoltaic storage system.

[0122] For example, according to the nature of the optimization problem (such as linear, nonlinear, integer programming, etc.), select a suitable optimization algorithm. Commonly used algorithms include linear programming, nonlinear programming, genetic algorithms, particle swarm optimization, etc. Next, integrate the objective function and constraints into an optimization model, and use tools such as MATLAB, Python (such as SciPy, PuLP library), Excel Solver, etc. to build and solve the optimization model. Specifically, input actual operating data, such as photovoltaic power generation data, energy storage data, load demand, etc. Use the selected algorithm to solve the optimization problem and obtain the optimal solution or feasible solution. Apply the optimization results to the real-time operation of the photovoltaic storage system, such as adjusting the operating parameters of the photovoltaic system and the charging and discharging strategy of the energy storage system. Continuously monitor system performance to ensure the effective implementation of the optimization strategy.

[0123] Optionally, in some embodiments of the present application, the operation optimization method of the present application may further include:

[0124] Obtain solar radiation count values ​​and temperature data values ​​collected by photovoltaic panels in the solar energy storage system;

[0125] Based on the solar radiation count value and temperature data value, estimate the estimated power generation corresponding to the photovoltaic storage system;

[0126] Based on the actual power generation and estimated power generation, a safety warning is issued for the photovoltaic storage system.

[0127] For example, real-time radiation data can be obtained from the solar radiation sensor installed on the photovoltaic panel, and real-time temperature data can be obtained from the temperature sensor installed on the photovoltaic panel. Optionally, in some embodiments of the present application, the data can be cleaned and synchronized to ensure that the data is accurate and that the radiation and temperature data are consistent in time. Then, based on the solar radiation count value and the temperature data value, the estimated power generation corresponding to the photovoltaic storage system is estimated. Specifically, the photovoltaic panel efficiency and temperature coefficient can be obtained. The temperature coefficient is the coefficient of the open-circuit voltage of the photovoltaic panel changing with temperature. Then, the estimated power generation corresponding to the photovoltaic storage system can be calculated by the following formula:

[0128] P 预估 =P ref ×I / I STC ×(1-α×(TT STC ))P estimates that:

[0129] P ref It is the reference power of photovoltaic panels under standard test conditions.

[0130] I is the actual irradiance (W / m 2 ).

[0131] I / I STC It is the irradiance under standard test conditions, usually 1000W / m 2 .

[0132] T is the actual operating temperature of the photovoltaic panel (°C).

[0133] T STC It is the temperature under standard test conditions, usually 25℃.

[0134] α is the temperature coefficient (% / ℃)

[0135] Finally, the deviation between the actual power generation and the estimated power generation is calculated, and an early warning is triggered when the deviation is less than the threshold.

[0136] In order to further understand the operation optimization scheme of the photovoltaic storage system of this application, the following distributed photovoltaic storage monitoring and operation optimization are used as an example to illustrate. Figure 2 ,

[0137] Step 1) Establish a distributed photovoltaic storage system model, establish photovoltaic model, energy storage model, system overall energy conservation model, constraint conditions, etc. The specific processing flow is as follows:

[0138] Step 1.1) Determine the characteristic model of photovoltaic system power generation, and determine the relationship model between photovoltaic system power generation and irradiation intensity and photovoltaic panel temperature. The specific model is:

[0139]

[0140] ΔG=GG ref

[0141] ΔT=TT ref

[0142] Wherein, P and Pref are the actual power generation and the power generation of the photovoltaic system under standard conditions respectively; G and Gref are the actual irradiance and the standard irradiance respectively, and the value of Gref is 1000W / m2; T is the temperature of the photovoltaic panel; Tref is the temperature of the photovoltaic panel under standard conditions, 25℃; a, b, c are the power generation coefficients.

[0143] Step 1.2) Determine the energy storage system model, establish the energy storage system charging and discharging power and system charge state model, the energy storage model is:

[0144] SOC t+Δt =SOC t +P t

[0145] In the formula, Pt is the energy storage charging and discharging power at time t, SOCt is the energy storage charge state at time t, and SOCt+Δt is the energy storage charge state at time t+Δt.

[0146] Step 1.3) Based on the photovoltaic and energy storage system models, establish the overall model of the distributed photovoltaic storage system, determine the constraints such as the energy conservation constraints within the system, and establish the inequality constraint model of the distributed photovoltaic storage system based on the power limit of each device and the energy storage charge state constraints. Among them, the energy conservation model is:

[0147] LE=P PV +P t +P gird

[0148] Where LE is the electricity load, Pgrid is the amount of electricity on and off the grid, it is a negative value when the surplus electricity is connected to the grid, and it is a positive value when electricity is purchased from the grid.

[0149] Step 2) Calculate the power generation of the photovoltaic system based on the data from the solar irradiance meter and the photovoltaic panel temperature detection system, and monitor and warn the photovoltaic system. The specific processing flow is as follows:

[0150] Step 2.1) Collect solar irradiance meter data near the photovoltaic panel

[0151] Step 2.2) Collect data values ​​of photovoltaic panel temperature detection system

[0152] Step 2.3) Calculate the power generated by the photovoltaic system based on the data collected in step 2.1) and step 2.2) and compare it with the actual power generated by the photovoltaic system in the same period. If the data deviates greatly, an early warning is issued. Early warning model:

[0153]

[0154] Where Pcal is the calculated power generation value of the photovoltaic system, and α is the warning limit.

[0155] Step 3) Establish multiple optimization objective functions from the perspectives of economy, environmental protection, energy storage life and overall performance to solve the best operation plan of the system. The specific processing flow is as follows:

[0156] Step 3.1) Establish objective functions such as economy, environmental protection, and energy storage life, and determine the constraints under each objective function. As an economic indicator, its objective function is the operating cost, that is, the electricity purchase cost, and the energy storage life indicator, its objective function is the number of energy storage cycles.

[0157] Step 3.2) Establish an optimization model based on the distributed photovoltaic storage system model and constraints obtained in step 1) and the objective function of step 3.1) to optimize the system operation mode.

[0158] The above is the operation optimization process of the photovoltaic storage system provided in the embodiment of the present application.

[0159] In summary, after obtaining the actual power generation information and actual energy storage information of the photovoltaic storage system, the embodiment of the present application constructs a system model corresponding to the photovoltaic storage system according to the actual power generation information and the actual energy storage information, then determines the optimization function corresponding to different optimization strategies, and finally optimizes the operation of the photovoltaic storage system according to the optimization function and the system model. In the scheme for optimizing the operation of the photovoltaic storage system provided in the present application, a system model corresponding to the photovoltaic storage system can be constructed according to the actual power generation information and the actual energy storage information, and finally, according to the system model and the optimization functions corresponding to different optimization strategies, the operation of the photovoltaic storage system can be optimized to ensure that the photovoltaic storage system can meet different operating conditions, thereby improving the economy and environmental protection of the photovoltaic storage system.

[0160] In order to better implement the operation optimization method of the photovoltaic storage system of the embodiment of the present application, the embodiment of the present application also provides an operation optimization device of the photovoltaic storage system. The meanings of the terms are the same as those in the operation optimization system of the photovoltaic storage system, and the specific implementation details can refer to the description in the system embodiment.

[0161] See also Figure 3 , Figure 3 A schematic diagram of the structure of an operation optimization device for a photovoltaic storage system provided in an embodiment of the present application, wherein the operation optimization device for a photovoltaic storage system may specifically include an acquisition module 201, a construction module 202, a determination module 203, and an optimization module 204, which may be specifically as follows:

[0162] The acquisition module 201 is used to acquire the actual power generation information and actual energy storage information of the photovoltaic energy storage system.

[0163] The construction module 202 is used to construct a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information.

[0164] Optionally, in some embodiments of the present application, the construction module 202 may specifically include:

[0165] An acquisition unit, used to acquire reference power generation information and reference energy storage information corresponding to the photovoltaic storage system under a standard state;

[0166] A first construction unit is used to construct a characteristic model corresponding to the power generation power of the photovoltaic storage system according to the actual power generation information and the reference power generation information;

[0167] The second construction unit is used to construct an energy storage model corresponding to the power generation power of the photovoltaic storage system according to the actual energy storage information;

[0168] The third construction unit is used to construct a system model corresponding to the photovoltaic energy storage system based on the characteristic model and the energy storage model.

[0169] Optionally, in some embodiments of the present application, the first building unit may be specifically used for:

[0170] Obtain the actual power generation power and actual irradiance of the photovoltaic storage system from the actual power generation information;

[0171] Obtaining reference power generation power and reference irradiance of the photovoltaic storage system under a preset state from reference power generation information;

[0172] According to the actual power generation power, actual irradiance, reference power generation power and reference irradiance, a characteristic model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0173] Optionally, in some embodiments of the present application, the second building unit may be specifically used for:

[0174] Obtaining the energy storage charge state of the photovoltaic storage system at different times from the actual energy storage information;

[0175] Based on the energy storage charge state of the photovoltaic storage system at different times, an energy storage model corresponding to the power generation power of the photovoltaic storage system is constructed.

[0176] Optionally, in some embodiments of the present application, the third building block may be specifically used for:

[0177] Determine the system constraints corresponding to the photovoltaic storage system according to the power limit of each device in the photovoltaic storage system, the actual power generation power and the energy storage charge state;

[0178] Based on system constraints, characteristic model and energy storage model, a system model corresponding to the photovoltaic storage system is constructed.

[0179] The determination module 203 is used to determine the optimization functions corresponding to different optimization strategies.

[0180] The optimization module 204 is used to optimize the operation of the photovoltaic storage system according to the optimization function and the system model.

[0181] Optionally, in some embodiments of the present application, the optimization module 204 may be specifically used to:

[0182] Solve the optimization function and obtain the optimization result;

[0183] The optimization results are applied to the system model to optimize the operation of the photovoltaic storage system.

[0184] Optionally, in some embodiments of the present application, the optimization module 204 may also be used to:

[0185] Obtain solar radiation count values ​​and temperature data values ​​collected by photovoltaic panels in the solar energy storage system;

[0186] Based on the solar radiation count value and temperature data value, estimate the estimated power generation corresponding to the photovoltaic storage system;

[0187] Based on the actual power generation and estimated power generation, a safety warning is issued for the photovoltaic storage system.

[0188] The embodiment of the present application provides an operation optimization device for a photovoltaic storage system. After the acquisition module 201 acquires the actual power generation information and actual energy storage information of the photovoltaic storage system, the construction module 202 constructs a system model corresponding to the photovoltaic storage system according to the actual power generation information and the actual energy storage information. Then, the determination module 203 determines the optimization function corresponding to different optimization strategies. Finally, the optimization module 204 optimizes the operation of the photovoltaic storage system according to the optimization function and the system model. In the scheme for optimizing the operation of the photovoltaic storage system provided in the present application, a system model corresponding to the photovoltaic storage system can be constructed according to the actual power generation information and the actual energy storage information. Finally, according to the system model and the optimization functions corresponding to different optimization strategies, the operation of the photovoltaic storage system is optimized to ensure that the photovoltaic storage system can meet different operating conditions, thereby improving the economy and environmental protection of the photovoltaic storage system.

[0189] In addition, the present application also provides an electronic device, such as Figure 4 As shown, it shows a schematic diagram of the structure of the electronic device involved in the embodiment of the present application, specifically:

[0190] The electronic device may include components such as a processor 301 with one or more processing cores, a memory 302 with one or more computer-readable storage media, a power supply 303, and an input unit 304. Those skilled in the art will appreciate that Figure 4 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0191] The processor 301 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 302, and calling data stored in the memory 302, it executes various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 301 may include one or more processing cores; preferably, the processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, and application programs, and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 301.

[0192] The memory 302 can be used to store software programs and modules. The processor 301 executes various functional applications and the operation optimization method of the optical storage system by running the software programs and modules stored in the memory 302. The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the electronic device, etc. In addition, the memory 302 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 302 can also include a memory controller to provide the processor 301 with access to the memory 302.

[0193] The electronic device also includes a power supply 303 for supplying power to each component. Preferably, the power supply 303 can be logically connected to the processor 301 through a power management system, so that the power management system can manage charging, discharging, power consumption and other functions. The power supply 303 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators and other arbitrary components.

[0194] The electronic device may further include an input unit 304, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0195] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 301 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 302 according to the following instructions, and the processor 301 will run the application programs stored in the memory 302, thereby realizing various functions, as follows:

[0196] Obtain the actual power generation information and actual energy storage information of the photovoltaic storage system; construct a system model corresponding to the photovoltaic storage system based on the actual power generation information and the actual energy storage information; determine the optimization function corresponding to different optimization strategies; optimize the operation of the photovoltaic storage system based on the optimization function and the system model.

[0197] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0198] After obtaining the actual power generation information and actual energy storage information of the photovoltaic storage system, the embodiment of the present application constructs a system model corresponding to the photovoltaic storage system according to the actual power generation information and the actual energy storage information, then determines the optimization functions corresponding to different optimization strategies, and finally optimizes the operation of the photovoltaic storage system according to the optimization functions and the system model. In the scheme for optimizing the operation of the photovoltaic storage system provided in the present application, a system model corresponding to the photovoltaic storage system can be constructed according to the actual power generation information and the actual energy storage information, and finally, according to the system model and the optimization functions corresponding to different optimization strategies, the operation of the photovoltaic storage system is optimized to ensure that the photovoltaic storage system can meet different operating conditions, thereby improving the economy and environmental protection of the photovoltaic storage system.

[0199] A person of ordinary skill in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by instructions, or by controlling related hardware through instructions. The instructions may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0200] To this end, an embodiment of the present application provides a storage medium in which a plurality of instructions are stored, and the instructions can be loaded by a processor to execute the steps in any one of the operation optimization methods of the optical storage system provided in the embodiment of the present application. For example, the instructions can execute the following steps:

[0201] Obtain the actual power generation information and actual energy storage information of the photovoltaic storage system; construct a system model corresponding to the photovoltaic storage system based on the actual power generation information and the actual energy storage information; determine the optimization function corresponding to different optimization strategies; optimize the operation of the photovoltaic storage system based on the optimization function and the system model.

[0202] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0203] The storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0204] Since the instructions stored in the storage medium can execute the steps in any one of the methods for optimizing the operation of a photovoltaic storage system provided in the embodiments of the present application, the beneficial effects that can be achieved by any one of the methods for optimizing the operation of a photovoltaic storage system provided in the embodiments of the present application can be achieved. For details, please refer to the previous embodiments and will not be repeated here.

[0205] The above is a detailed introduction to the operation optimization method, device, electronic device and storage medium of an optical storage system provided in an embodiment of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for optimizing the operation of a photovoltaic storage system, characterized in that: include: Obtain the actual power generation information and actual energy storage information of the photovoltaic storage system; Constructing a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information; Determine the optimization functions corresponding to different optimization strategies; The operation of the photovoltaic storage system is optimized according to the optimization function and the system model.

2. The operation optimization method according to claim 1, characterized in that: The step of constructing a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information includes: Obtain reference power generation information and reference energy storage information corresponding to the photovoltaic storage system under standard conditions; Constructing a characteristic model corresponding to the power generation of the photovoltaic storage system according to the actual power generation information and the reference power generation information; Constructing an energy storage model corresponding to the power generation of the photovoltaic storage system according to the actual energy storage information; Based on the characteristic model and the energy storage model, a system model corresponding to the photovoltaic energy storage system is constructed.

3. The operation optimization method according to claim 2, characterized in that: The constructing a characteristic model corresponding to the power generation of the photovoltaic storage system according to the actual power generation information and the reference power generation information includes: Acquire the actual power generation power and actual irradiance of the photovoltaic storage system from the actual power generation information; Acquire a reference power generation power and a reference irradiance of the photovoltaic storage system under a preset state from the reference power generation information; A characteristic model corresponding to the power generation of the photovoltaic storage system is constructed according to the actual power generation, actual irradiance, reference power generation and reference irradiance.

4. The operation optimization method according to claim 2, characterized in that: The step of constructing an energy storage model corresponding to the power generation of the photovoltaic storage system according to the actual energy storage information includes: Acquiring the energy storage charge state of the photovoltaic storage system at different times from the actual energy storage information; Based on the energy storage charge state of the photovoltaic storage system at different times, an energy storage model corresponding to the power generation power of the photovoltaic storage system is constructed.

5. The operation optimization method according to claim 2, characterized in that: The constructing a system model corresponding to the photovoltaic energy storage system based on the characteristic model and the energy storage model includes: Determine the system constraint conditions corresponding to the photovoltaic storage system according to the power limit of each device in the photovoltaic storage system, the actual power generation power and the energy storage charge state; Based on the system constraints, characteristic model and energy storage model, a system model corresponding to the photovoltaic energy storage system is constructed.

6. The operation optimization method according to any one of claims 1 to 5, characterized in that: Optimizing the operation of the photovoltaic storage system according to the optimization function and the system model includes: Solving the optimization function to obtain an optimization result; The optimization result is applied to the system model to optimize the operation of the photovoltaic storage system.

7. The operation optimization method according to any one of claims 1 to 5, characterized in that: Also includes: Obtaining solar radiation count values ​​and temperature data values ​​collected by the photovoltaic panels in the solar energy storage system; Based on the solar radiation count value and the temperature data value, estimating the estimated power generation corresponding to the solar energy storage system; A safety warning is issued to the photovoltaic storage system according to the actual power generation and the estimated power generation.

8. An operation optimization device for a photovoltaic storage system, characterized in that: include: An acquisition module is used to obtain actual power generation information and actual energy storage information of the photovoltaic storage system; A construction module, used to construct a system model corresponding to the photovoltaic energy storage system according to the actual power generation information and the actual energy storage information; A determination module is used to determine the optimization functions corresponding to different optimization strategies; The optimization module is used to optimize the operation of the photovoltaic storage system according to the optimization function and the system model.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, the steps of the method for optimizing the operation of the photovoltaic storage system as described in any one of claims 1 to 7 are performed.

10. A storage medium, characterized in that: A computer program is stored which can be loaded by a processor and execute the operation optimization method of the photovoltaic storage system according to any one of claims 1 to 7.

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