Inverter cooperative control method and system based on photovoltaic prediction

Abstract

This invention discloses a photovoltaic (PV) prediction-based inverter coordinated control method and system, relating to the field of PV inverter control technology. The method includes the following steps: connecting a PV prediction model to predict the total power generation of a PV power plant, obtaining the predicted total power; monitoring the inverter's status to obtain its real-time operating status, and analyzing the parameter influence relationships based on historical operating status; determining the inverter's adjustment strategy based on the predicted total power; calculating the inverter's adjustment range based on the adjustment strategy, operating status, and parameter influence relationships, and coordinating the control of all inverters. This invention addresses the problem that existing PV inverter control technologies suffer from inaccurate and unreasonable inverter control, leading to inverters failing to achieve optimal operating conditions.

Description

Technical Field

[0001] This invention relates to the field of photovoltaic inverter control technology, specifically to an inverter collaborative control method and system based on photovoltaic prediction. Background Technology

[0002] Photovoltaic inverter control technology refers to a technical system that uses intelligent algorithms and hardware circuits to dynamically adjust the operating parameters of the inverter, thereby achieving efficient conversion of DC to AC power and ensuring power quality, system stability, and maximum energy utilization.

[0003] Existing photovoltaic inverter control technologies typically employ a uniform control approach, where each inverter is simultaneously adjusted proportionally or by the same value. However, in reality, different inverters exhibit varying temperatures due to factors such as their geographical location, surrounding infrastructure, and aging. Inverter conversion efficiency is affected by temperature; different temperatures result in different efficiencies. Therefore, uniform control is not reasonable. For example, patent application CN 111786409A discloses a "photovoltaic inverter system and its control method." This scheme calculates the target power for each operating photovoltaic inverter based on the total power demand and the number of inverters in operation, essentially adjusting the power of each inverter to the same target power. However, since each inverter has a different temperature and conversion efficiency, uniform control cannot ensure that each inverter reaches its optimal operating state. Existing photovoltaic inverter control technologies also suffer from inaccurate and unreasonable inverter control, leading to inverters failing to achieve optimal operating conditions. Summary of the Invention

[0004] This invention aims to at least partially solve one of the technical problems in the prior art. By connecting to a photovoltaic prediction model, the total power generation of a photovoltaic power station is predicted by the photovoltaic prediction model to obtain the predicted total power. Then, the historical operating status of the inverter is recorded and the relationship between the inverter's output power and equipment temperature, as well as the relationship between equipment temperature and conversion efficiency, is analyzed. Based on the predicted total power, the adjustment strategy of the inverter is determined. An adjustment queue is generated for the inverter based on a first adjustment strategy or a second adjustment strategy. Finally, the adjustment range of the inverter is calculated based on the adjustment queue, and all inverters are coordinated and controlled. This solves the problem that the existing photovoltaic inverter control technology still has the problem of inaccurate and unreasonable control of the inverter, which leads to the inverter not reaching the optimal working state.

[0005] To achieve the above objectives, in a first aspect, this application provides an inverter coordinated control method based on photovoltaic prediction, comprising the following steps:

[0006] Connect to the photovoltaic prediction model, and use the photovoltaic prediction model to predict the total power generation of the photovoltaic power station to obtain the predicted total power;

[0007] The inverter is monitored for status, and its operating status is obtained in real time. At the same time, the parameter influence relationship of the inverter is analyzed based on the historical operating status.

[0008] Determine the inverter's adjustment strategy based on the predicted total power;

[0009] The adjustment range of the inverter is calculated based on the adjustment strategy, operating status, and parameter influence relationship, and all inverters are coordinated and controlled.

[0010] Furthermore, connecting to the photovoltaic prediction model and using the photovoltaic prediction model to predict the total power generation of the photovoltaic power plant includes the following sub-steps:

[0011] A data connection is established with a photovoltaic prediction model, which is used to predict the total power generation of a photovoltaic power station based on weather forecasts;

[0012] The total power generation of a photovoltaic power plant at the first predicted time is predicted using a photovoltaic prediction model, thus obtaining the predicted total power generation.

[0013] Furthermore, the inverter undergoes status monitoring to obtain its operating status in real time. Simultaneously, based on historical operating status data, the analysis of the parameter influence relationships of the inverter includes the following sub-steps:

[0014] Record the historical operating status of the inverter and analyze the relationship between the inverter's output power and equipment temperature;

[0015] Record the historical operating status of the inverter and analyze the relationship between the inverter's equipment temperature and conversion efficiency.

[0016] Furthermore, recording the inverter's historical operating status and analyzing the relationship between the inverter's output power and equipment temperature includes the following sub-steps:

[0017] The operating status includes the inverter's output power, equipment temperature, and conversion efficiency. The historical operating status is named the historical status, and the output power, equipment temperature, and conversion efficiency in the historical status are named the historical power, historical temperature, and historical efficiency, respectively. At the same time, the ambient temperature of each historical status is recorded and named the historical temperature.

[0018] Based on output power, historical states and historical temperatures with the same output power are grouped together and named power groups. These power groups are then numbered and labeled as PG in ascending order of output power. n n is a positive integer and n is the index of PG;

[0019] For any PG n Analyze and analyze PG n The average historical temperature is marked as the reference temperature, using the symbol RT. n It indicates that PG n Historical temperatures are denoted as ET(n,m) and historical air temperatures as HT(n,m), where ET(n,m) represents PG. n The m-th historical temperature in the table is represented by HT(n,m), where HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer, and (n,m) is the index of ET and HT.

[0020] Calculate ET(n,m) / RT n The calculation result is marked as U(n,m). A two-dimensional coordinate system is established with HT(n,m) as the X-axis and U(n,m) as the Y-axis. This system is named the temperature influence map. U(n,m) is entered into the temperature influence map according to HT(n,m).

[0021] With PG n Establish a two-dimensional coordinate system with PG as the X-axis and ET(n,m) as the Y-axis, and name it the power influence diagram. Then, ET(n,m) is plotted according to PG... n Enter the power impact diagram;

[0022] By performing function fitting on the temperature influence map, the temperature influence curve is obtained; similarly, by performing function fitting on the power influence map, the power influence curve is obtained.

[0023] Furthermore, recording the historical operating status of the inverter and analyzing the relationship between the inverter's equipment temperature and conversion efficiency includes the following sub-steps:

[0024] The conversion efficiency corresponding to ET(n,m) is denoted as CE(n,m);

[0025] Establish a Cartesian coordinate system with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, and name it the temperature efficiency relationship graph. Enter CE(n,m) into the temperature efficiency relationship graph according to ET(n,m).

[0026] By fitting a function to the temperature-efficiency relationship graph, the temperature-efficiency relationship curve is obtained.

[0027] Furthermore, determining the inverter's adjustment strategy based on the predicted total power includes the following sub-steps:

[0028] Obtain the current total power generation of the photovoltaic power station and name it Real-time Total Power;

[0029] If the real-time total power is less than the predicted total power, the first adjustment strategy is activated; if the real-time total power is greater than the predicted total power, the second adjustment strategy is activated; if the real-time total power is equal to the predicted total power, no adjustment is required for the inverter.

[0030] Furthermore, calculating the inverter's adjustment range based on the adjustment strategy, operating status, and parameter influence relationships, and coordinating the control of all inverters includes the following sub-steps:

[0031] An adjustment queue is generated for the inverter based on either the first or the second adjustment strategy.

[0032] The adjustment range of the inverter is calculated based on the adjustment queue, and all inverters are coordinated and controlled.

[0033] Furthermore, generating an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy includes the following sub-steps:

[0034] Obtain the device temperature and conversion efficiency of all current inverters, name them Real-time Temperature and Real-time Efficiency, and assign each inverter a number using the symbol IT. i This indicates that i is a positive integer and i is the index of IT;

[0035] IT i The real-time temperature and real-time efficiency are denoted as RTT. i and RTE i Search RTT i The minimum and maximum values ​​in the range are labeled as RTT. min and RTT max Search for RTE i The minimum and maximum values ​​in the range are labeled as RTE. min and RTE max ;

[0036] Through formula Calculate RTT i The normalized index, of which NTT i That is, RTT i The normalized index; through the formula Calculate RTE i The normalized index, of which NTE i That is, RTE i Normalized index;

[0037] For any IT i Calculate NTT i -NTE i The calculation results are marked as priority reference values;

[0038] If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain the adjustment queue;

[0039] If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain the adjustment queue.

[0040] Furthermore, the calculation of the inverter's adjustment range based on the adjustment queue and the coordinated control of all inverters includes the following sub-steps:

[0041] Inverters are numbered according to the order of adjustment queue from front to back, using the symbol IR. j This indicates that j is a positive integer and j is the index of IR. The current ambient temperature is obtained and named real-time temperature.

[0042] Starting with j=1, obtain IR j The output power, labeled as OP. j Find the equipment temperature corresponding to the maximum conversion efficiency in the temperature-efficiency relationship curve and mark it as QT. j Find the value of the Y axis when the X value is the real-time temperature in the temperature influence curve, name it the temperature influence parameter, and represent it with the symbol TIP;

[0043] Assuming IR j The output power needs to be adjusted to AOP. j AOP j That is, IR j The adjusted output power will have the X-axis value in the power effect curve equal to AOP. j The Y-axis value is marked as AT. j QT exists j / AT j =TIP, for AT j Solve and obtain the corresponding AOP. j , IR j Adjust the output power to AOP j ;

[0044] After the adjustment is completed, check in real time whether the sum of the inverter's output power is equal to the predicted total power generation. If so, stop the AOP analysis. j If not, increment j and reanalyze AOP. j This continues until the sum of the inverter's output power equals the predicted total power generation.

[0045] Secondly, this application provides an inverter coordinated control system based on photovoltaic prediction, including a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module, and an inverter coordinated adjustment module; the photovoltaic prediction module, the parameter impact analysis module, and the adjustment strategy judgment module are respectively data connected to the inverter coordinated adjustment module;

[0046] The photovoltaic prediction module is used to connect to the photovoltaic prediction model, which predicts the total power generation of the photovoltaic power station to obtain the predicted total power.

[0047] The parameter impact analysis module is used to monitor the inverter's status, obtain the inverter's operating status in real time, and analyze the parameter impact relationship of the inverter based on historical operating status.

[0048] The adjustment strategy judgment module is used to determine the adjustment strategy of the inverter based on the predicted total power.

[0049] The inverter collaborative adjustment module is used to calculate the adjustment range of the inverter based on the adjustment strategy, operating status and parameter influence relationship, and to perform collaborative control of all inverters.

[0050] The beneficial effects of this invention are as follows: This invention connects to a photovoltaic prediction model, which predicts the total power generation of a photovoltaic power station. The predicted total power is obtained by the photovoltaic prediction model. Then, the historical operating status of the inverter is recorded and the relationship between the inverter's output power and equipment temperature, as well as the relationship between equipment temperature and conversion efficiency, are analyzed. The advantage is that by analyzing the relationship between different parameters of each inverter, data can be provided to find the optimal operating state of the inverter, ensuring that the inverter operates well when it is regulated, thereby improving the safety and efficiency of the inverter.

[0051] This invention determines the inverter adjustment strategy based on the predicted total power, generates an adjustment queue for the inverter based on a first or second adjustment strategy, and finally calculates the adjustment range of the inverter based on the adjustment queue and performs coordinated control of all inverters. The advantage is that different inverters have different operating states and different adjustment priorities. It calculates the value that the output power of each inverter needs to be adjusted, and can ensure that the adjusted inverter can be in the optimal working state, that is, the temperature is within a reasonable range and the conversion efficiency reaches the maximum, thus improving the accuracy and effectiveness of photovoltaic inverter control. Attached Figure Description

[0052] Figure 1 This is a schematic diagram of the system of the present invention;

[0053] Figure 2 This is a temperature effect diagram of the present invention;

[0054] Figure 3 This is a power effect diagram of the present invention;

[0055] Figure 4 This is a graph showing the temperature efficiency relationship of the present invention;

[0056] Figure 5 This is a flowchart of the steps of the method of the present invention. Detailed Implementation

[0057] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Example 1, please refer to Figure 1 As shown, this application provides an inverter-coordinated control system based on photovoltaic prediction, including a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module, and an inverter-coordinated adjustment module; the photovoltaic prediction module, the parameter impact analysis module, and the adjustment strategy judgment module are respectively connected to the inverter-coordinated adjustment module for data transmission.

[0059] The photovoltaic prediction module is used to connect to the photovoltaic prediction model, which predicts the total power generation of the photovoltaic power station and obtains the predicted total power.

[0060] The photovoltaic forecasting module is configured with photovoltaic forecasting strategies, which include:

[0061] Establish a data connection with the photovoltaic forecasting model, which is used to predict the total power generation of the photovoltaic power plant based on weather forecasts;

[0062] The total power generation of the photovoltaic power plant at the first predicted time is predicted by using a photovoltaic prediction model, and the predicted total power generation is obtained.

[0063] In practical applications, the photovoltaic prediction model is an existing prediction technology, which will not be specifically described in this embodiment. The first prediction time is set by the administrator. In this embodiment, the first prediction time is set to 15 minutes, that is, to predict the total power generation of the photovoltaic power station after 15 minutes, and thus obtain the predicted total power generation.

[0064] The parameter impact analysis module is used to monitor the inverter's status, acquire the inverter's operating status in real time, and analyze the parameter impact relationships of the inverter based on historical operating status. The parameter impact analysis module includes a power-temperature relationship analysis unit and a temperature-efficiency relationship analysis unit.

[0065] The power-temperature relationship analysis unit is used to record the historical operating status of the inverter and analyze the relationship between the inverter's output power and the equipment temperature.

[0066] The power-temperature relationship analysis unit is equipped with a power-temperature relationship analysis strategy, which includes:

[0067] The operating status includes the inverter's output power, equipment temperature, and conversion efficiency. The historical operating status is named the historical status, and the output power, equipment temperature, and conversion efficiency in the historical status are named the historical power, historical temperature, and historical efficiency, respectively. At the same time, the ambient temperature of each historical status is recorded and named the historical temperature.

[0068] Based on output power, historical states and historical temperatures with the same output power are grouped together and named power groups. These power groups are then numbered and labeled as PG in ascending order of output power. n n is a positive integer and n is the index of PG;

[0069] For any PG n Analyze and analyze PG n The average historical temperature is marked as the reference temperature, using the symbol RT. n It indicates that PG n Historical temperatures are denoted as ET(n,m) and historical air temperatures as HT(n,m), where ET(n,m) represents PG. n The m-th historical temperature in the table is represented by HT(n,m), where HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer, and (n,m) is the index of ET and HT.

[0070] Please see Figure 2 As shown, calculate ET(n,m) / RT n The calculation result is marked as U(n,m). A two-dimensional coordinate system is established with HT(n,m) as the X-axis and U(n,m) as the Y-axis. This system is named the temperature influence map. U(n,m) is entered into the temperature influence map according to HT(n,m).

[0071] Please see Figure 3 As shown, PG n Establish a two-dimensional coordinate system with PG as the X-axis and ET(n,m) as the Y-axis, and name it the power influence diagram. Then, ET(n,m) is plotted according to PG... n Enter the power impact diagram;

[0072] By performing function fitting on the temperature influence map, the temperature influence curve is obtained; by performing function fitting on the power influence map, the power influence curve is obtained.

[0073] In practical applications, historical states and historical temperatures with the same output power are grouped together to obtain power groups. For example, in a certain power group, all historical states and historical temperatures correspond to an output power of 95kW, which are then numbered to obtain PG. n , 1≤n≤30, with PG 25 For example, PG 25The corresponding output power is 95kW. The historical temperature is affected by the output power in the same way; therefore, the historical temperature is only affected by the historical air temperature. The reference temperature is the average of the historical temperatures, which can be used to calculate the magnitude of the influence of historical air temperature on historical temperature, for example, PG. 25 Reference temperature RT 25 The temperature is 68℃. In the 136th data point, ET(25,136) is 70℃ and HT(25,136) is 36℃. The calculated U(25,136) is 1.0294. The result is rounded to four decimal places. The resulting temperature influence map is shown below. Figure 2 As shown, the power influence diagram is constructed simultaneously as follows: Figure 3 As shown, the X-axis of the power influence diagram is PG. n Actually, it's PG n The corresponding output power, Figure 2 and Figure 3 The curves showing the influence of temperature and the curves showing the influence of power are respectively displayed. Figure 2 and Figure 3 The curve in the figure; the power effect curve approaches the average historical temperature of the inverter at different output powers, that is, it approaches the corresponding PG. n The reference temperature, therefore QT exists subsequently. j / AT j =Relationship with TIP;

[0074] The temperature-efficiency relationship analysis unit is used to record the historical operating status of the inverter and analyze the relationship between the inverter's equipment temperature and conversion efficiency.

[0075] The temperature efficiency relationship analysis unit is equipped with a temperature efficiency relationship analysis strategy, which includes:

[0076] The conversion efficiency corresponding to ET(n,m) is denoted as CE(n,m);

[0077] Please see Figure 4 As shown, a Cartesian coordinate system is established with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, named the temperature efficiency relationship graph. CE(n,m) is entered into the temperature efficiency relationship graph according to ET(n,m).

[0078] By fitting a function to the temperature-efficiency relationship graph, the temperature-efficiency relationship curve is obtained;

[0079] In specific implementation, the temperature efficiency relationship diagram and temperature efficiency relationship curve are constructed as follows: Figure 4 As shown.

[0080] The adjustment strategy judgment module is used to determine the inverter's adjustment strategy based on the predicted total power.

[0081] The adjustment strategy judgment module is configured with adjustment strategy judgment policies, which include:

[0082] Obtain the current total power generation of the photovoltaic power station and name it Real-time Total Power;

[0083] If the real-time total power is less than the predicted total power, the first adjustment strategy is activated; if the real-time total power is greater than the predicted total power, the second adjustment strategy is activated; if the real-time total power is equal to the predicted total power, no adjustment is required for the inverter.

[0084] In practical applications, the real-time total power is 10MW and the predicted total power is 6MW. Since the real-time total power is greater than the predicted total power, the second adjustment strategy is activated.

[0085] The inverter coordinated adjustment module is used to calculate the adjustment range of the inverter based on the adjustment strategy, operating status and parameter influence relationship, and to coordinate the control of all inverters; the inverter coordinated adjustment module includes an adjustment queue generation unit and an inverter coordinated control unit;

[0086] The adjustment queue generation unit is used to generate an adjustment queue for the inverter based on a first adjustment strategy or a second adjustment strategy.

[0087] The queue generation unit is configured with an adjustment queue generation strategy, which includes:

[0088] Obtain the device temperature and conversion efficiency of all current inverters, name them Real-time Temperature and Real-time Efficiency, and assign each inverter a number using the symbol IT. i This means that i is a positive integer and i is the index of IT;

[0089] IT i The real-time temperature and real-time efficiency are denoted as RTT. i and RTE i Search RTT i The minimum and maximum values ​​in the range are labeled as RTT. min and RTT max Search for RTE i The minimum and maximum values ​​in the range are labeled as RTE. min and RTE max ;

[0090] Through formula Calculate RTT i The normalized index, of which NTT i That is, RTT i The normalized index; through the formula Calculate RTE i The normalized index, of which NTE i That is, RTEi Normalized index;

[0091] For any IT i Calculate NTT i -NTE i The calculation results are marked as priority reference values;

[0092] If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain the adjustment queue;

[0093] If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain the adjustment queue;

[0094] In practical applications, taking the 20th inverter as an example, for IT... 20 To conduct analysis, IT 20 The real-time temperature and real-time efficiency are known as RTT. 20 and RTE 20 The values ​​were 65℃ and 98.4%, respectively, and RTT was found. min and RTT max RTE at 64℃ and 70℃ respectively min and RTE max The percentages were 97.4% and 98.5% respectively. The NTT was calculated... 20 and NTE 20 The values ​​are 0.1667 and 0.9091 respectively, and both results are rounded to four decimal places; calculate NTT. 20 -NTE 20 You can get IT 20 The priority reference value is -0.7424, provided by NTT. i -NTE i The priority reference value is calculated because, for inverters, lower temperatures result in higher conversion efficiency, and higher temperatures result in lower conversion efficiency. (NTT) i With NTE i Assuming an inverse relationship, let NTT i It is 0.8, while NTE i The value is 0.1. When adding, its priority reference value is the same as that of NTT. i =0.1 and NTE i The results of 0.8 are exactly the same, but they are completely opposite. Therefore, subtraction can effectively distinguish between low temperature and high conversion efficiency, as well as high temperature and low conversion efficiency. If the second adjustment strategy is enabled, it means that the output power of the inverter needs to be reduced. When reducing, the inverter with high temperature and low conversion efficiency should be reduced first. Therefore, the inverters are sorted in descending order of priority reference value to obtain the adjustment queue.

[0095] The inverter collaborative control unit is used to calculate the adjustment range of the inverters based on the adjustment queue and to coordinate the control of all inverters.

[0096] The inverter collaborative control unit is equipped with an inverter collaborative control strategy, which includes:

[0097] Inverters are numbered according to the order of adjustment queue from front to back, using the symbol IR. j This indicates that j is a positive integer and j is the index of IR. The current ambient temperature is obtained and named real-time temperature.

[0098] Starting with j=1, obtain IR j The output power, labeled as OP. j Find the equipment temperature corresponding to the maximum conversion efficiency in the temperature-efficiency relationship curve and mark it as QT. j Find the value of the Y axis when the X value is the real-time temperature in the temperature influence curve, name it the temperature influence parameter, and represent it with the symbol TIP;

[0099] Assuming IR j The output power needs to be adjusted to AOP. j AOP j That is, IR j The adjusted output power will have the X-axis value in the power effect curve equal to AOP. j The Y-axis value is marked as AT. j QT exists j / AT j =TIP, for AT j Solve and obtain the corresponding AOP. j , IR j Adjust the output power to AOP j ;

[0100] After the adjustment is completed, check in real time whether the sum of the inverter's output power is equal to the predicted total power generation. If so, stop the AOP analysis. j If not, increment j and reanalyze AOP. j This continues until the sum of the inverter's output power equals the predicted total power generation.

[0101] In practical applications, the real-time temperature is obtained as 10℃, OP1 is obtained as 100kW, and the temperature efficiency curve, temperature influence curve, and power influence curve of each inverter are independent. The QT1 of IR1 is obtained as 60℃, indicating that the inverter can achieve its maximum conversion efficiency at a device temperature of 60℃. The temperature influence curve shows that when the X value is 10℃, the Y-axis value is 59℃, meaning the temperature influence parameter TIP is 0.8679. The calculated AT1 is 69.1℃. The power influence curve shows the Y-axis value... The value of the X-axis when the value is equal to 69.1℃ is AOP1. AOP1 is obtained as 94kW. The output power of IR1 is adjusted to 94kW. All inverters are adjusted in turn. If the sum of the output power of the inverters is still not equal to the predicted total power generation after all inverters are adjusted, all inverters are controlled to be adjusted synchronously. When judging whether the sum of the output power of the inverters is equal to the predicted total power generation, there is a certain error redundancy. They are not absolutely equal. They only need to be within the error range. This embodiment does not explain in detail.

[0102] Example 2, please refer to Figure 5 As shown, this application provides an inverter coordinated control method based on photovoltaic prediction, including the following steps:

[0103] Step S1: Connect the photovoltaic prediction model to predict the total power generation of the photovoltaic power station, and obtain the predicted total power. Step S1 includes the following sub-steps:

[0104] Step S101: Establish a data connection with the photovoltaic prediction model, which is used to predict the total power generation of the photovoltaic power station based on weather forecasts;

[0105] Step S102: The total power generation of the photovoltaic power station at the first predicted time is predicted using a photovoltaic prediction model to obtain the predicted total power generation.

[0106] Step S2 involves monitoring the inverter's status, acquiring its real-time operating status, and analyzing the parameter influence relationships based on historical operating status data. Step S2 includes the following sub-steps:

[0107] Step S201: Record the historical operating status of the inverter and analyze the relationship between the inverter's output power and the equipment temperature;

[0108] Step S201 includes the following sub-steps:

[0109] Step S201.1: The operating status includes the inverter's output power, equipment temperature, and conversion efficiency. The historical operating status is named the historical status, and the output power, equipment temperature, and conversion efficiency in the historical status are named the historical power, historical temperature, and historical efficiency, respectively. At the same time, the ambient temperature of each historical status is recorded and named the historical temperature.

[0110] Step S201.2: Based on the output power, integrate historical states and historical temperatures with the same output power into a group, named "Power Grouping," and number the power groups, labeling them as PG in ascending order of output power. n n is a positive integer and n is the index of PG;

[0111] Step S201.3, for any PG n Analyze and analyze PG n The average historical temperature is marked as the reference temperature, using the symbol RT. n It indicates that PG n Historical temperatures are denoted as ET(n,m) and historical air temperatures as HT(n,m), where ET(n,m) represents PG. n The m-th historical temperature in the table is represented by HT(n,m), where HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer, and (n,m) is the index of ET and HT.

[0112] Step S201.4, calculate ET(n,m) / RT n The calculation result is marked as U(n,m). A two-dimensional coordinate system is established with HT(n,m) as the X-axis and U(n,m) as the Y-axis. This system is named the temperature influence map. U(n,m) is entered into the temperature influence map according to HT(n,m).

[0113] Step S201.5, with PG n Establish a two-dimensional coordinate system with PG as the X-axis and ET(n,m) as the Y-axis, and name it the power influence diagram. Then, ET(n,m) is plotted according to PG... n Enter the power impact diagram;

[0114] Step S201.6: Perform function fitting on the temperature influence map to obtain the temperature influence curve; perform function fitting on the power influence map to obtain the power influence curve.

[0115] Step S202: Record the historical operating status of the inverter and analyze the relationship between the inverter's equipment temperature and conversion efficiency;

[0116] Step S202 includes the following sub-steps:

[0117] Step S202.1: Mark the conversion efficiency corresponding to ET(n,m) as CE(n,m);

[0118] Step S202.2: Establish a Cartesian coordinate system with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, and name it Temperature Efficiency Relationship Chart. Enter CE(n,m) into the Temperature Efficiency Relationship Chart according to ET(n,m).

[0119] Step S202.3: Perform function fitting on the temperature efficiency relationship graph to obtain the temperature efficiency relationship curve;

[0120] Step S3: Determine the inverter adjustment strategy based on the predicted total power; Step S3 includes the following sub-steps:

[0121] Step S301: Obtain the current total power generation of the photovoltaic power station and name it Real-time Total Power;

[0122] Step S302: If the real-time total power is less than the predicted total power, the first adjustment strategy is activated; if the real-time total power is greater than the predicted total power, the second adjustment strategy is activated; if the real-time total power is equal to the predicted total power, no adjustment is required to the inverter.

[0123] Step S4 involves calculating the inverter's adjustment range based on the adjustment strategy, operating status, and parameter influence relationships, and then coordinating the control of all inverters. Step S4 includes the following sub-steps:

[0124] Step S401: Generate an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy;

[0125] Step S401 includes the following sub-steps:

[0126] Step S401.1: Obtain the device temperature and conversion efficiency of all current inverters, name them Real-time Temperature and Real-time Efficiency, and assign numbers to the inverters using the symbol IT. i This indicates that i is a positive integer and i is the index of IT;

[0127] Step S401.2, IT i The real-time temperature and real-time efficiency are denoted as RTT. i and RTE i Search RTT i The minimum and maximum values ​​in the range are labeled as RTT. min and RTT max Search for RTE i The minimum and maximum values ​​in the range are labeled as RTE. min and RTE max ;

[0128] Step S401.3, using the formula Calculate RTT iThe normalized index, of which NTT i That is, RTT i The normalized index; through the formula Calculate RTE i The normalized index, of which NTE i That is, RTE i Normalized index;

[0129] Step S401.4, for any IT i Calculate NTT i -NTE i The calculation results are marked as priority reference values;

[0130] Step S401.5: If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain the adjustment queue.

[0131] Step S401.6: If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain the adjustment queue.

[0132] Step S402: Calculate the adjustment range of the inverter based on the adjustment queue and perform coordinated control of all inverters;

[0133] Step S402 includes the following sub-steps:

[0134] Step S402.1: Number the inverters according to the order of adjustment queue from front to back, using the symbol IR. j This indicates that j is a positive integer and j is the index of IR. The current ambient temperature is obtained and named real-time temperature.

[0135] Step S402.2, starting with j=1, obtain IR j The output power, labeled as OP. j Find the equipment temperature corresponding to the maximum conversion efficiency in the temperature-efficiency relationship curve and mark it as QT. j Find the value of the Y axis when the X value is the real-time temperature in the temperature influence curve, name it the temperature influence parameter, and represent it with the symbol TIP;

[0136] Step S402.3, assuming IR j The output power needs to be adjusted to AOP. j AOP j That is, IR j The adjusted output power will have the X-axis value in the power effect curve equal to AOP. j The Y-axis value is marked as AT. j QT exists j / AT j=TIP, for AT j Solve and obtain the corresponding AOP. j , IR j Adjust the output power to AOP j ;

[0137] Step S402.4: After the adjustment is completed, check in real time whether the sum of the inverter's output power is equal to the predicted total power generation. If so, stop the AOP analysis. j If not, increment j and reanalyze AOP. j This continues until the sum of the inverter's output power equals the predicted total power generation.

[0138] Example 3: This application provides an electronic device, which may include a processor, a communication interface, a memory, and a communication bus. The processor, communication interface, and memory communicate with each other via the communication bus. The memory stores computer-readable instructions, and the processor can call the instructions in the memory. When the computer-readable instructions are executed by the processor, steps such as those in the photovoltaic prediction-based inverter coordinated control method are performed to achieve the following functions: connecting to a photovoltaic prediction model to predict the total power generation of the photovoltaic power station, obtaining the predicted total power; monitoring the inverter's status, acquiring the inverter's operating status in real time, and analyzing the parameter influence relationships of the inverter based on historical operating status; determining the inverter's adjustment strategy based on the predicted total power; calculating the inverter's adjustment range based on the adjustment strategy, operating status, and parameter influence relationships, and coordinating the control of all inverters.

[0139] Furthermore, when the logical instructions in the aforementioned memory can be implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0140] Example 4: This application also provides a computer-readable storage medium storing a computer program. When the computer program is executed by a processor, it performs the steps of the photovoltaic prediction-based inverter coordinated control method described above to achieve the following functions: connecting to a photovoltaic prediction model to predict the total power generation of the photovoltaic power station and obtain the predicted total power; monitoring the inverter's status to obtain the inverter's operating status in real time and analyzing the parameter influence relationship of the inverter based on historical operating status; determining the inverter's adjustment strategy based on the predicted total power; calculating the inverter's adjustment range based on the adjustment strategy, operating status, and parameter influence relationship, and coordinating the control of all inverters.

[0141] Based on the above description of the embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the above technical solutions, in essence or in terms of their contribution to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or certain parts of the embodiments.

[0142] In the embodiments provided in this application, it should be understood that the disclosed system or method can be implemented in other ways. The embodiments described above are merely illustrative. For example, the division of modules or units is only a logical functional division, and there may be other division methods in actual implementation. Furthermore, multiple modules or units may be combined or integrated into another system, or some features may be ignored or not executed. Additionally, the coupling or direct coupling or communication connection shown or discussed may be through some communication interfaces. The indirect coupling or communication connection between systems, modules, and units may be electrical, mechanical, or other forms.

[0143] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A photovoltaic-based inverter coordinated control method, characterized in that, Includes the following steps: Connect to the photovoltaic prediction model, and use the photovoltaic prediction model to predict the total power generation of the photovoltaic power station to obtain the predicted total power; The inverter is monitored for status, and its operating status is obtained in real time. At the same time, the parameter influence relationship of the inverter is analyzed based on the historical operating status. The process of monitoring the inverter's status, acquiring its operating status in real time, and analyzing the parameter influence relationships based on historical operating status includes the following sub-steps: Record the historical operating status of the inverter and analyze the relationship between the inverter's output power and equipment temperature; Record the historical operating status of the inverter and analyze the relationship between the inverter's equipment temperature and conversion efficiency; Recording the historical operating states of the inverter and analyzing the relationship between the inverter's output power and equipment temperature includes the following sub-steps: The operating states include the inverter's output power, equipment temperature, and conversion efficiency. Historical operating states are named "historical states," and the output power, equipment temperature, and conversion efficiency within each historical state are named "historical power," "historical temperature," and "historical efficiency," respectively. Simultaneously, the ambient temperature for each historical state is recorded and named "historical temperature." Based on output power, historical states and historical temperatures with the same output power are grouped together and named "power groups." These power groups are numbered and labeled as PG in ascending order of output power. n n is a positive integer and n is the index of PG; for any PG n Analyze and analyze PG n The average historical temperature is marked as the reference temperature, using the symbol RT. n It indicates that PG n Historical temperatures are denoted as ET(n,m) and historical air temperatures as HT(n,m), where ET(n,m) represents PG. n Let ET(n,m) represent the historical temperature corresponding to ET(n,m), where m is a positive integer and (n,m) is the index of ET and HT; calculate ET(n,m) / RT. n The calculation result is labeled as U(n,m). A two-dimensional coordinate system is established with HT(n,m) as the X-axis and U(n,m) as the Y-axis, named the temperature influence map. U(n,m) is entered into the temperature influence map according to HT(n,m); PG is used as the X-axis. n Establish a two-dimensional coordinate system with PG as the X-axis and ET(n,m) as the Y-axis, and name it the power influence diagram. Then, ET(n,m) is plotted according to PG... n Enter the power influence diagram; perform function fitting on the temperature influence diagram to obtain the temperature influence curve, and perform function fitting on the power influence diagram to obtain the power influence curve; Determine the inverter's adjustment strategy based on the predicted total power; The adjustment range of the inverter is calculated based on the adjustment strategy, operating status, and parameter influence relationship, and all inverters are coordinated and controlled.

2. The inverter coordinated control method based on photovoltaic prediction according to claim 1, characterized in that, Connecting to the photovoltaic prediction model and using it to predict the total power generation of the photovoltaic power plant includes the following sub-steps: A data connection is established with a photovoltaic prediction model, which is used to predict the total power generation of a photovoltaic power station based on weather forecasts; The total power generation of a photovoltaic power plant at the first predicted time is predicted using a photovoltaic prediction model, thus obtaining the predicted total power.

3. The inverter coordinated control method based on photovoltaic prediction according to claim 2, characterized in that, Recording the historical operating status of the inverter and analyzing the relationship between the inverter's equipment temperature and conversion efficiency includes the following sub-steps: The conversion efficiency corresponding to ET(n,m) is denoted as CE(n,m); Establish a Cartesian coordinate system with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, and name it the temperature efficiency relationship graph. Enter CE(n,m) into the temperature efficiency relationship graph according to ET(n,m). By fitting a function to the temperature-efficiency relationship graph, the temperature-efficiency relationship curve is obtained.

4. The inverter coordinated control method based on photovoltaic prediction according to claim 3, characterized in that, Determining the inverter adjustment strategy based on the predicted total power includes the following sub-steps: Obtain the current total power generation of the photovoltaic power station and name it Real-time Total Power; If the real-time total power is less than the predicted total power, the first adjustment strategy is activated; if the real-time total power is greater than the predicted total power, the second adjustment strategy is activated; if the real-time total power is equal to the predicted total power, no adjustment is required for the inverter.

5. The inverter coordinated control method based on photovoltaic prediction according to claim 4, characterized in that, Calculating the inverter's adjustment range based on adjustment strategies, operating status, and parameter influence relationships, and coordinating the control of all inverters includes the following sub-steps: An adjustment queue is generated for the inverter based on either the first or the second adjustment strategy. The adjustment range of the inverter is calculated based on the adjustment queue, and all inverters are coordinated and controlled.

6. The inverter coordinated control method based on photovoltaic prediction according to claim 5, characterized in that, Generating an adjustment queue for the inverter based on the first or second adjustment strategy includes the following sub-steps: Obtain the device temperature and conversion efficiency of all current inverters, name them Real-time Temperature and Real-time Efficiency, and assign each inverter a number using the symbol IT. i This indicates that i is a positive integer and i is the index of IT; IT i The real-time temperature and real-time efficiency are denoted as RTT. i and RTE i Search RTT i The minimum and maximum values ​​in the range are labeled as RTT. min and RTT max Search for RTE i The minimum and maximum values ​​in the range are labeled as RTE. min and RTE max ; Through formula Calculate RTT i The normalized index, of which NTT i That is, RTT i The normalized index; through the formula Calculate RTE i The normalized index, of which NTE i That is, RTE i Normalized index; For any IT i Calculate NTT i -NTE i The calculation results are marked as priority reference values; If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain the adjustment queue; If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain the adjustment queue.

7. The inverter coordinated control method based on photovoltaic prediction according to claim 6, characterized in that, Calculating the adjustment range of the inverter based on the adjustment queue and coordinating the control of all inverters includes the following sub-steps: Inverters are numbered according to the order of adjustment queue from front to back, using the symbol IR. j This indicates that j is a positive integer and j is the index of IR. The current ambient temperature is obtained and named real-time temperature. Starting with j=1, obtain IR j The output power, labeled as OP. j Find the equipment temperature corresponding to the maximum conversion efficiency in the temperature-efficiency relationship curve and mark it as QT. j Find the value of the Y axis when the X value is the real-time temperature in the temperature influence curve, name it the temperature influence parameter, and represent it with the symbol TIP; Assuming IR j The output power needs to be adjusted to AOP. j AOP j That is, IR j The adjusted output power will have the X-axis value in the power effect curve equal to AOP. j The Y-axis value is marked as AT. j QT exists j / AT j =TIP, for AT j Solve and obtain the corresponding AOP. j , IR j Adjust the output power to AOP j ; After the adjustment is completed, check in real time whether the sum of the inverter's output power is equal to the predicted total power. If so, stop the AOP analysis. j If not, increment j and reanalyze AOP. j This continues until the sum of the inverter's output power equals the predicted total power.

8. A photovoltaic-based inverter coordinated control system, used to implement the photovoltaic-based inverter coordinated control method according to any one of claims 1-7, characterized in that, It includes a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module, and an inverter coordinated adjustment module; the photovoltaic prediction module, the parameter impact analysis module, and the adjustment strategy judgment module are respectively connected to the inverter coordinated adjustment module for data transmission. The photovoltaic prediction module is used to connect to the photovoltaic prediction model, which predicts the total power generation of the photovoltaic power station to obtain the predicted total power. The parameter impact analysis module is used to monitor the inverter's status, obtain the inverter's operating status in real time, and analyze the parameter impact relationship of the inverter based on historical operating status. The adjustment strategy judgment module is used to determine the adjustment strategy of the inverter based on the predicted total power. The inverter collaborative adjustment module is used to calculate the adjustment range of the inverter based on the adjustment strategy, operating status and parameter influence relationship, and to perform collaborative control of all inverters.

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