Inversion cooperative control method and system based on photovoltaic prediction

Abstract

The invention discloses an inversion cooperative control method and system based on photovoltaic prediction, and relates to the technical field of photovoltaic inversion control, and the method comprises the following steps: connecting a photovoltaic prediction model, predicting the total power generation power of a photovoltaic power station through the photovoltaic prediction model, and obtaining the predicted total power; monitoring the state of the inverter, obtaining the operation state of the inverter in real time, and analyzing the parameter influence relationship of the inverter based on the historical operation state; judging an adjustment strategy of the inverter according to the predicted total power; calculating the adjustment amplitude of the inverter based on the adjustment strategy, the operation state and the parameter influence relation, and carrying out the cooperative regulation and control of all inverters; the method is used for solving the problem that the inverter cannot reach the optimal working state due to the fact that the control over the inverter is not accurate and reasonable enough in the existing photovoltaic inverter control technology.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic inverter control, and in particular to an inverter coordinated control method and system based on photovoltaic prediction. Background Art

[0002] Photovoltaic inverter control technology refers to a technical system that dynamically adjusts the operating parameters of the inverter through the collaboration of intelligent algorithms and hardware circuits, achieves efficient conversion of direct current to alternating current, and ensures power quality, system stability, and maximum energy utilization.

[0003] Existing photovoltaic inverter control technology typically uses a unified control approach, where each inverter is simultaneously controlled in equal proportion or with equal values. However, in reality, different inverters have varying temperatures due to factors such as their geographical location, surrounding facilities, and their own aging. The inverter's conversion efficiency is affected by its temperature, resulting in varying conversion efficiencies at different temperatures. Therefore, unified control is not rational. For example, patent application publication number CN 111786409A discloses a "photovoltaic inverter system and control method thereof." This solution calculates the target power of each operating photovoltaic inverter based on the total power demand and the number of operating photovoltaic inverters. This effectively adjusts the power of each inverter to the same target power. However, each inverter has different temperatures and conversion efficiencies. Unified control cannot ensure that each inverter achieves optimal operating conditions. Existing photovoltaic inverter control technology also suffers from inaccurate and irrational control of the inverters, resulting in the inverters failing to achieve optimal operating conditions. Summary of the Invention

[0004] The present invention aims to solve one of the technical problems in the prior art to at least a certain extent. By connecting a photovoltaic prediction model, the photovoltaic prediction model predicts the total power generation power of the photovoltaic power station to obtain the predicted total power, then records the historical operating status of the inverter and analyzes the relationship between the output power of the inverter and the device temperature, as well as the relationship between the device temperature and the conversion efficiency. Then, the adjustment strategy of the inverter is judged according to the predicted total power, and an adjustment queue is generated for the inverter based on the first adjustment strategy or the second adjustment strategy. Finally, the adjustment amplitude of the inverter is calculated based on the adjustment queue and all inverters are coordinated and controlled to solve the problem that the existing photovoltaic inverter control technology still has inaccurate and unreasonable control of the inverter, resulting in the inverter being unable to achieve the optimal working state.

[0005] To achieve the above objectives, in a first aspect, the present application provides an inverter coordinated control method based on photovoltaic prediction, comprising the following steps: Connecting to the photovoltaic prediction model, the photovoltaic prediction model predicts the total power generation of the photovoltaic power station to obtain the predicted total power; Monitor the inverter status, obtain the inverter's operating status in real time, and analyze the influencing relationship of the inverter parameters based on historical operating status; Determine the inverter adjustment strategy based on the predicted total power; Based on the adjustment strategy, operating status and parameter influence relationship, the adjustment range of the inverter is calculated and all inverters are coordinated and controlled.

[0006] Furthermore, the photovoltaic prediction model is connected, and the photovoltaic prediction model is used to predict the total power generation of the photovoltaic power station, including the following sub-steps: Establishing a data connection with a photovoltaic prediction model, wherein the photovoltaic prediction model is used to predict the total generated power of the photovoltaic power station based on the weather forecast; The total generated power of the photovoltaic power station at the first prediction time in the future is predicted by the photovoltaic prediction model to obtain the predicted total generated power.

[0007] Furthermore, the inverter is monitored to obtain the inverter's operating status in real time, and the parameter influence relationship of the inverter is analyzed based on the historical operating status, including the following sub-steps: Record the inverter's historical operating status and analyze the relationship between the inverter's output power and device temperature; Record the inverter's historical operating status and analyze the relationship between the inverter's device temperature and conversion efficiency.

[0008] Furthermore, recording the historical operating status of the inverter and analyzing the relationship between the inverter output power and the device temperature includes the following sub-steps: The operating status includes the output power, device temperature, and conversion efficiency of the inverter. The historical operating status is named as historical status, and the output power, device temperature, and conversion efficiency in the historical status are named as historical power, historical temperature, and historical efficiency, respectively. At the same time, the ambient temperature of each historical status is recorded and named as historical temperature. Based on the output power, the historical states and historical temperatures with the same output power are grouped together and named as power groups. The power groups are numbered and marked as PG in the order of output power from small to large. n , n is a positive integer and n is the sequence number of PG; For any PG n Analyze and PG n The average of the historical temperatures is marked as the reference temperature, using the symbol RT n Indicates that PG n The historical temperature is marked as ET(n,m), the historical air temperature is marked as HT(n,m), and ET(n,m) represents PG nIn the mth historical temperature, HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer and (n,m) is the sequence number of ET and HT; Calculate ET(n,m) / RT n , mark the calculation result as U(n,m), establish a two-dimensional coordinate system with HT(n,m) as the X-axis and U(n,m) as the Y-axis, name it the temperature influence diagram, and enter U(n,m) into the temperature influence diagram according to HT(n,m); PG n As the X axis, ET (n, m) as the Y axis to establish a two-dimensional coordinate system, named the power influence diagram, ET (n, m) according to PG n Enter the power impact 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.

[0009] Furthermore, recording the historical operating status of the inverter and analyzing the relationship between the device temperature and conversion efficiency of the inverter includes the following sub-steps: The conversion efficiency corresponding to ET(n,m) is marked as CE(n,m); A rectangular 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 diagram. CE(n,m) is entered into the temperature-efficiency relationship diagram according to ET(n,m); Function fitting is performed on the temperature-efficiency relationship diagram to obtain a temperature-efficiency relationship curve.

[0010] Furthermore, determining the inverter adjustment strategy based on the predicted total power includes the following sub-steps: Get the total power generated by the current photovoltaic power station, named real-time total power; If the real-time total power is less than the predicted total power, the first adjustment strategy is enabled; if the real-time total power is greater than the predicted total power, the second adjustment strategy is enabled; if the real-time total power is equal to the predicted total power, there is no need to adjust the inverter.

[0011] Furthermore, calculating the adjustment range of the inverter based on the adjustment strategy, operating status and parameter influence relationship and performing coordinated control on all inverters includes the following sub-steps: generating an adjustment queue for the inverter based on the first adjustment strategy 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.

[0012] Furthermore, generating an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy includes the following sub-steps: Get the current device temperature and conversion efficiency of all inverters, name them as real-time temperature and real-time efficiency, number the inverters, and use the symbol IT i Indicates that i is a positive integer and i is the sequence number of IT; IT i The real-time temperature and real-time efficiency are marked as RTT i and RTE i , find RTT i The minimum and maximum values ​​in are marked as RTT min and RTT max , find RTE i The minimum and maximum values ​​in are marked as RTE min and RTE max ; By formula Calculating RTT i Normalized index, where NTT i RTT i The normalized index of Calculating RTE i Normalized index, where NTE i RTE i Normalized index of For any IT i , calculate NTT i -NTE i , mark the calculation result as the priority reference value; If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain an adjustment queue; If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain an adjustment queue.

[0013] Furthermore, calculating the adjustment range of the inverter based on the adjustment queue and performing coordinated control on all inverters includes the following sub-steps: The inverters are numbered in the order from front to back in the adjustment queue, and the symbol IR j Indicates that j is a positive integer and j is the serial number of IR, obtain the current ambient temperature, named real-time temperature; Starting with j=1, get IR j Output power, marked as OP j , find the device temperature corresponding to the maximum conversion efficiency in the temperature efficiency relationship curve, marked as QT j , find the value of the Y axis when the X value in the temperature influence curve is the real-time temperature, name it the temperature influence parameter, and represent it with the symbol TIP; Assume IRj The output power needs to be adjusted to AOP j , AOP j IR j After adjusting the output power, the value of the X axis in the power impact curve is equal to the AOP j The value of the Y axis is marked as AT j , there is QT j / AT j =TIP, for AT j Solve and get the corresponding AOP j , IR j The output power is adjusted to AOP j ; After the adjustment is completed, the total output power of the inverter is counted in real time to see if it is equal to the predicted total power generation power. If so, the AOP analysis is stopped. j If not, then increase j by one and analyze the AOP again j , until the sum of the inverter output powers is equal to the predicted total generated power.

[0014] In a second aspect, the present application provides an inverter collaborative control system based on photovoltaic prediction, including a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module, and an inverter collaborative adjustment module; the photovoltaic prediction module, the parameter impact analysis module, and the adjustment strategy judgment module are respectively connected to the inverter collaborative adjustment module data; The photovoltaic prediction module is used to connect to the photovoltaic prediction model, and the photovoltaic prediction model 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 status, obtain the inverter's operating status in real time, and analyze the inverter's parameter impact relationship based on historical operating status; The adjustment strategy judgment module is used to judge the adjustment strategy of the inverter according to the predicted total power; The inverter cooperative 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 coordinately control all inverters.

[0015] The beneficial effects of the present invention are as follows: by connecting to a photovoltaic prediction model, the photovoltaic prediction model predicts the total generated power of the photovoltaic power station to obtain the predicted total power, then records the historical operating status of the inverter and analyzes the relationship between the inverter's output power and device temperature, as well as the relationship between the device temperature and conversion efficiency. The advantage is that the analysis of the relationship between different parameters of each inverter can provide a data basis for finding the optimal operating state of the inverter, ensuring that the inverter is in good operating condition when it is adjusted, thereby improving the safety and working efficiency of the inverter; The present invention determines the adjustment strategy of the inverter according to the predicted total power, generates an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy, and finally calculates the adjustment amplitude of the inverter based on the adjustment queue and coordinates the control of all inverters. The advantage is that different inverters have different operating states and different adjustment priorities. The value that needs to be adjusted for the output power of each inverter is calculated, and it can ensure that the adjusted inverter is in the best working state, that is, the temperature is within a reasonable range and the conversion efficiency is maximized, thereby improving the accuracy and effectiveness of photovoltaic inverter control. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 is a functional block diagram of the system of the present invention; Figure 2 It is the temperature influence diagram of the present invention; Figure 3 It is the power impact diagram of the present invention; Figure 4 This is a temperature efficiency relationship diagram of the present invention; Figure 5 Flow chart of the steps of the method of the present invention. DETAILED DESCRIPTION

[0017] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0018] Example 1, please refer to Figure 1 As shown, the present application provides an inverter cooperative control system based on photovoltaic prediction, including a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module and an inverter cooperative adjustment module; the photovoltaic prediction module, the parameter impact analysis module and the adjustment strategy judgment module are respectively connected to the inverter cooperative adjustment module data; 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 photovoltaic prediction module is configured with a photovoltaic prediction strategy, which includes: Establishing a data connection with the photovoltaic prediction model, which is used to predict the total power generation of the photovoltaic power station based on the weather forecast; The total power generation of the photovoltaic power station at the first prediction time in the future is predicted by the photovoltaic prediction model to obtain the predicted total power generation; In actual applications, the photovoltaic prediction model is an existing prediction technology and is not described in detail in this embodiment. The first prediction time is set by the management personnel. In this embodiment, the first prediction time is set to 15 minutes, that is, the total power generation power of the photovoltaic power station after 15 minutes is predicted to obtain the predicted total power generation power.

[0019] The parameter impact analysis module is used to monitor the inverter status, obtain the inverter's operating status in real time, and analyze the inverter's parameter impact relationship based on historical operating status. The parameter impact analysis module includes a power-temperature relationship analysis unit and a temperature-efficiency relationship analysis unit. The power-temperature relationship analysis unit is used to record the inverter's historical operating status and analyze the relationship between the inverter's output power and the device temperature; The power-temperature relationship analysis unit is configured with a power-temperature relationship analysis strategy, which includes: The operating status includes the inverter's output power, device temperature, and conversion efficiency. The historical operating status is named "historical status," and the output power, device temperature, and conversion efficiency in the historical status are named "historical power," "historical temperature," and "historical efficiency," respectively. The ambient temperature of each historical status is also recorded and named "historical temperature." Based on the output power, the historical states and historical temperatures with the same output power are grouped together and named as power groups. The power groups are numbered and marked as PG in the order of output power from small to large. n , n is a positive integer and n is the sequence number of PG; For any PG n Analyze and PG n The average of the historical temperatures is marked as the reference temperature, using the symbol RT n Indicates that PG n The historical temperature is marked as ET(n,m), the historical air temperature is marked as HT(n,m), and ET(n,m) represents PG n In the mth historical temperature, HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer and (n,m) is the sequence number of ET and HT; See also Figure 2 As shown, calculate ET(n,m) / RT n , mark the calculation result as U(n,m), establish a two-dimensional coordinate system with HT(n,m) as the X-axis and U(n,m) as the Y-axis, name it the temperature influence diagram, and enter U(n,m) into the temperature influence diagram according to HT(n,m); See also Figure 3 As shown, PG nAs the X axis, ET (n, m) as the Y axis to establish a two-dimensional coordinate system, named the power influence diagram, ET (n, m) according to PG n Enter the power impact 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; 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, the output power corresponding to all historical states and historical temperatures is 95kW. The PG is obtained by numbering. n , 1≤n≤30, PG 25 For example, PG 25 The corresponding output power is 95kW, where 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 value of the historical temperature, which can be used to calculate the impact of the historical air temperature on the historical temperature. For example, PG 25 Reference temperature RT 25 is 68℃. In the 136th data, ET(25,136) is 70℃, HT(25,136) is 36℃, and U(25,136) is 1.0294. The calculation result is rounded to four decimal places. The temperature influence diagram is constructed as follows: Figure 2 As shown, the power impact diagram is constructed as follows Figure 3 As shown, the X-axis of the power impact diagram is PG n , which is actually PG n The corresponding output power, Figure 2 and Figure 3 The temperature influence curve and power influence curve are shown in Figure 1, namely Figure 2 and Figure 3 The power impact curve approaches the average value of the inverter's historical temperature at different output powers, that is, it approaches the corresponding PG n The reference temperature, so there is a subsequent QT j / AT j =TIP relationship; The temperature-efficiency relationship analysis unit is used to record the inverter's historical operating status and analyze the relationship between the inverter's device temperature and conversion efficiency; The temperature-efficiency relationship analysis unit is equipped with a temperature-efficiency relationship analysis strategy, which includes: The conversion efficiency corresponding to ET(n,m) is marked as CE(n,m); See also Figure 4As shown, a plane rectangular coordinate system is established with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, named as the temperature-efficiency relationship diagram, and CE(n,m) is entered into the temperature-efficiency relationship diagram according to ET(n,m); Perform function fitting on the temperature-efficiency relationship diagram to obtain a temperature-efficiency relationship curve; In the specific implementation, the temperature efficiency relationship diagram and the temperature efficiency relationship curve are constructed as follows: Figure 4 shown.

[0020] The adjustment strategy judgment module is used to judge the adjustment strategy of the inverter according to the predicted total power; The adjustment strategy judgment module is configured with an adjustment strategy judgment strategy, which includes: Get the total power generated by the current photovoltaic power station, named 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, there is no need to adjust the inverter; In actual 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 enabled.

[0021] 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 coordinately control all inverters; the inverter collaborative adjustment module includes an adjustment queue generation unit and an inverter collaborative control unit; The adjustment queue generating unit is configured to generate an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy; The queue generation unit is configured with a queue generation strategy, which includes: Get the current device temperature and conversion efficiency of all inverters, name them as real-time temperature and real-time efficiency, number the inverters, and use the symbol IT i Indicates that i is a positive integer and i is the sequence number of IT; IT i The real-time temperature and real-time efficiency are marked as RTT i and RTE i , find RTT i The minimum and maximum values ​​in are marked as RTT min and RTT max , find RTE i The minimum and maximum values ​​in are marked as RTE min and RTE max ; By formula Calculating RTTi Normalized index, where NTT i RTT i The normalized index of Calculating RTE i Normalized index, where NTE i RTE i Normalized index of For any IT i , calculate NTT i -NTE i , mark the calculation result as the priority reference value; If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain an adjustment queue; If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain an adjustment queue; In actual application, taking the 20th inverter as an example, for IT 20 Conduct analysis, IT 20 The real-time temperature and real-time efficiency is RTT 20 and RTE 20 , respectively 65℃ and 98.4%, find out RTT min and RTT max 64℃ and 70℃ respectively, RTE min and RTE max They are 97.4% and 98.5% respectively. NTT is obtained by calculation. 20 and NTE 20 The results are 0.1667 and 0.9091 respectively, and the calculation results are rounded to four decimal places; calculate NTT 20 -NTE 20 Get IT 20 The priority reference value is -0.7424, which is determined by NTT i -NTE i The priority reference value is calculated because for the inverter, the lower the temperature, the higher the conversion efficiency, and the higher the temperature, the lower the conversion efficiency. i With NTE i Assuming that NTT i is 0.8, and NTE i is 0.1, when added, its priority reference value is the same as NTT i is 0.1 and NTE iThe results are exactly the same as those of 0.8, 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, and when reducing the power, the inverter with high temperature and low conversion efficiency should be reduced first. Therefore, the inverters are sorted in descending order according to the priority reference value to obtain the adjustment queue. The inverter cooperative control unit is used to calculate the adjustment range of the inverter based on the adjustment queue and coordinate the control of all inverters; The inverter cooperative control unit is configured with an inverter cooperative control strategy, which includes: The inverters are numbered in the order from front to back in the adjustment queue, and the symbol IR j Indicates that j is a positive integer and j is the serial number of IR, obtain the current ambient temperature, named real-time temperature; Starting with j=1, get IR j Output power, marked as OP j , find the device temperature corresponding to the maximum conversion efficiency in the temperature efficiency relationship curve, marked as QT j , find the value of the Y axis when the X value in the temperature influence curve is the real-time temperature, name it the temperature influence parameter, and represent it with the symbol TIP; Assume IR j The output power needs to be adjusted to AOP j , AOP j That is IR j After adjusting the output power, the value of the X axis in the power impact curve is equal to the AOP j The value of the Y axis is marked as AT j , there is QT j / AT j =TIP, for AT j Solve and get the corresponding AOP j , IR j The output power is adjusted to AOP j ; After the adjustment is completed, the total output power of the inverter is counted in real time to see if it is equal to the predicted total power generation power. If so, the AOP analysis is stopped. j If not, then increase j by one and analyze the AOP again. j , until the sum of the inverter output powers is equal to the predicted total power generation; In actual application, the real-time temperature is 10℃, the OP1 is 100kW, and the temperature efficiency relationship curve, temperature influence curve and power influence curve of each inverter are independent. The QT1 of IR1 is 60℃, which means that the inverter can achieve the maximum conversion efficiency when the device temperature is 60℃. When the X value of the temperature influence curve is 10℃, the Y axis value is 59℃, that is, the temperature influence parameter TIP is 0.8679, and the AT1 is calculated to be 69.1℃. When the Y axis of the power influence curve is found, the value of the IR1 is 60℃. When the value is equal to 69.1°C, the value of the X-axis is AOP1. The obtained AOP1 is 94kW. The output power of IR1 is adjusted to 94kW, and 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, and it is not absolutely equal. It only needs to be within the error range. This embodiment will not be specifically described.

[0022] Example 2, please refer to Figure 5 As shown, the present application provides an inverter coordinated control method based on photovoltaic prediction, comprising the following steps: Step S1: Connecting a photovoltaic prediction model, using the photovoltaic prediction model to predict the total power generation of the photovoltaic power station to obtain the predicted total power; Step S1 includes the following sub-steps: Step S101, establishing a data connection with a photovoltaic prediction model, where the photovoltaic prediction model is used to predict the total power generation of the photovoltaic power station based on the weather forecast; Step S102, predicting the total generated power of the photovoltaic power station at a first future prediction time using a photovoltaic prediction model to obtain a predicted total generated power; Step S2: Monitor the inverter status, obtain the inverter's operating status in real time, and analyze the inverter's parameter impact relationship based on historical operating status. Step S2 includes the following sub-steps: Step S201, recording the historical operating status of the inverter and analyzing the relationship between the inverter output power and the device temperature; Step S201 includes the following sub-steps: Step S201.1: The operating status includes the inverter's output power, device temperature, and conversion efficiency. The historical operating status is named "historical status." The output power, device temperature, and conversion efficiency in the historical status are named "historical power," "historical temperature," and "historical efficiency," respectively. The ambient temperature of each historical status is also recorded and named "historical temperature." Step S201.2: Based on the output power, the historical states and historical temperatures with the same output power are grouped together, named as power groups, and the power groups are numbered and marked as PG in the order of output power from small to large. n , n is a positive integer and n is the sequence number of PG; Step S201.3, for any PG n Analyze and PG n The average of the historical temperatures is marked as the reference temperature, using the symbol RT n Indicates that PG n The historical temperature is marked as ET(n,m), the historical air temperature is marked as HT(n,m), and ET(n,m) represents PG n In the mth historical temperature, HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer and (n,m) is the sequence number of ET and HT; Step S201.4, calculate ET(n,m) / RT n , mark the calculation result as U(n,m), establish a two-dimensional coordinate system with HT(n,m) as the X-axis and U(n,m) as the Y-axis, name it the temperature influence diagram, and enter U(n,m) into the temperature influence diagram according to HT(n,m); Step S201.5, PG n As the X axis, ET (n, m) as the Y axis to establish a two-dimensional coordinate system, named the power influence diagram, ET (n, m) according to PG n Enter the power impact diagram; Step S201.6, performing function fitting on the temperature influence diagram to obtain a temperature influence curve, and performing function fitting on the power influence diagram to obtain a power influence curve; Step S202, recording the historical operating status of the inverter and analyzing the relationship between the device temperature and conversion efficiency of the inverter; Step S202 includes the following sub-steps: Step S202.1, mark the conversion efficiency corresponding to ET(n,m) as CE(n,m); Step S202.2: Create a rectangular coordinate system with ET(n,m) as the horizontal axis and CE(n,m) as the vertical axis, named the temperature-efficiency relationship diagram, and enter CE(n,m) into the temperature-efficiency relationship diagram according to ET(n,m); Step S202.3, performing function fitting on the temperature-efficiency relationship diagram to obtain a temperature-efficiency relationship curve; Step S3, determining the inverter adjustment strategy based on the predicted total power; Step S3 includes the following sub-steps: Step S301, obtaining the total power generated by the current photovoltaic power station, named as real-time total power; 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 for the inverter; Step S4, calculating the adjustment range of the inverter based on the adjustment strategy, operating status and parameter influence relationship and performing coordinated control on all inverters; Step S4 includes the following sub-steps: Step S401: generating an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy; Step S401 includes the following sub-steps: Step S401.1, obtain the current device temperature and conversion efficiency of all inverters, name them as real-time temperature and real-time efficiency, number the inverters, and use the symbol IT i Indicates that i is a positive integer and i is the sequence number of IT; Step S401.2, IT i The real-time temperature and real-time efficiency are marked as RTT i and RTE i , find RTT i The minimum and maximum values ​​in are marked as RTT min and RTT max , find RTE i The minimum and maximum values ​​in are marked as RTE min and RTE max ; Step S401.3, by formula Calculating RTT i Normalized index, where NTT i RTT i The normalized index of Calculating RTE i Normalized index, where NTE i RTE i Normalized index of Step S401.4, for any IT i , calculate NTT i -NTE i , mark the calculation result as the priority reference value; Step S401.5: If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain an adjustment queue; Step S401.6: If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain an adjustment queue; Step S402: Calculate the adjustment range of the inverter based on the adjustment queue and coordinately control all inverters; Step S402 includes the following sub-steps: Step S402.1: number the inverters in the order of the adjustment queue from front to back, using the symbol IR j Indicates that j is a positive integer and j is the serial number of IR, obtain the current ambient temperature, named real-time temperature; Step S402.2, starting with j=1, obtain IR j Output power, marked as OP j , find the device temperature corresponding to the maximum conversion efficiency in the temperature efficiency relationship curve, marked as QT j , find the value of the Y axis when the X value in the temperature influence curve is the real-time temperature, name it the temperature influence parameter, and represent it with the symbol TIP; Step S402.3, assuming IR j The output power needs to be adjusted to AOP j , AOP j That is IR j After adjusting the output power, the value of the X axis in the power impact curve is equal to the AOP j The value of the Y axis is marked as AT j , there is QT j / AT j =TIP, for AT j Solve and get the corresponding AOP j , IR j The output power is adjusted to AOP j ; Step S402.4: After the adjustment is completed, the total output power of the inverter is counted in real time to see if it is equal to the predicted total power generation power. If so, stop analyzing the AOP. j If not, then increase j by one and analyze the AOP again. j , until the sum of the inverter output powers is equal to the predicted total generated power.

[0023] In embodiment 3, the present application provides an electronic device, which may include: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the 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, the steps in the inverter cooperative control method based on photovoltaic prediction are executed to achieve the following functions: connecting to a photovoltaic prediction model, using the photovoltaic prediction model to predict the total power generation of the photovoltaic power station to obtain the predicted total power; monitoring the inverter status, obtaining the operating status of the inverter in real time, and analyzing the parameter influence relationship of the inverter based on the historical operating status; determining the inverter adjustment strategy based on the predicted total power; calculating the inverter adjustment amplitude based on the adjustment strategy, operating status, and parameter influence relationship, and coordinating the control of all inverters.

[0024] In addition, the logical instructions in the above-mentioned memory can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application, or the part that contributes to the existing technology, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program code.

[0025] Example 4. The present application also provides a computer-readable storage medium. The present application provides a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the inverter collaborative control method based on photovoltaic prediction are executed to achieve the following functions: connecting a photovoltaic prediction model, and using the photovoltaic prediction model to predict the total power generation of the photovoltaic power station to obtain the predicted total power; monitoring the status of the inverter, obtaining the operating status of the inverter in real time, and analyzing the parameter influence relationship of the inverter based on the historical operating status; judging the adjustment strategy of the inverter according to the predicted total power; calculating the adjustment amplitude of the inverter based on the adjustment strategy, operating status and parameter influence relationship, and collaboratively regulating all inverters.

[0026] Through the description of the above embodiments, the embodiments of the present invention can be provided as methods, systems, or computer program products. Based on this understanding, the essence of the above technical solutions or the portion that contributes 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, a magnetic disk, or an optical disk, and includes a number of instructions for enabling a computer device (such as a personal computer, server, or network device) to execute the methods described in various embodiments or certain portions of the embodiments.

[0027] 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 function division. There may be other division methods in actual implementation. For example, multiple modules or units can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interfaces, and the indirect coupling or communication connection of systems, modules and units can be electrical, mechanical or other forms.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. The inverter coordinated control method based on photovoltaic prediction is characterized by: The steps include: Connecting to the photovoltaic prediction model, the photovoltaic prediction model predicts the total power generation of the photovoltaic power station to obtain the predicted total power; Monitor the inverter status, obtain the inverter's operating status in real time, and analyze the influencing relationship of the inverter parameters based on historical operating status; Determine the inverter adjustment strategy based on the predicted total power; Based on the adjustment strategy, operating status and parameter influence relationship, the adjustment range of the inverter is calculated and all inverters are coordinated and controlled.

2. The inverter coordinated control method based on photovoltaic prediction according to claim 1 is characterized in that: Connecting to the photovoltaic prediction model and using the photovoltaic prediction model to predict the total power generation of the photovoltaic power station includes the following sub-steps: Establishing a data connection with a photovoltaic prediction model, wherein the photovoltaic prediction model is used to predict the total generated power of the photovoltaic power station based on the weather forecast; The total generated power of the photovoltaic power station at the first prediction time in the future is predicted by the photovoltaic prediction model to obtain the predicted total generated power.

3. The inverter coordinated control method based on photovoltaic prediction according to claim 2 is characterized in that: Monitor the inverter status, obtain the inverter's operating status in real time, and analyze the influencing relationship of inverter parameters based on historical operating status. This includes the following sub-steps: Record the inverter's historical operating status and analyze the relationship between the inverter's output power and device temperature; Record the inverter's historical operating status and analyze the relationship between the inverter's device temperature and conversion efficiency.

4. The inverter coordinated control method based on photovoltaic prediction according to claim 3 is characterized in that: Recording the inverter's historical operating status and analyzing the relationship between the inverter's output power and device temperature includes the following sub-steps: The operating status includes the output power, device temperature, and conversion efficiency of the inverter. The historical operating status is named as historical status, and the output power, device temperature, and conversion efficiency in the historical status are named as historical power, historical temperature, and historical efficiency, respectively. At the same time, the ambient temperature of each historical status is recorded and named as historical temperature. Based on the output power, the historical states and historical temperatures with the same output power are grouped together and named as power groups. The power groups are numbered and marked as PG in the order of output power from small to large. n , n is a positive integer and n is the sequence number of PG; For any PG n Analyze and PG n The average of the historical temperatures is marked as the reference temperature, using the symbol RT n Indicates that PG n The historical temperature is marked as ET(n,m), the historical air temperature is marked as HT(n,m), and ET(n,m) represents PG n In the mth historical temperature, HT(n,m) represents the historical temperature corresponding to ET(n,m), m is a positive integer and (n,m) is the sequence number of ET and HT; Calculate ET(n,m) / RT n , mark the calculation result as U(n,m), establish a two-dimensional coordinate system with HT(n,m) as the X-axis and U(n,m) as the Y-axis, name it the temperature influence diagram, and enter U(n,m) into the temperature influence diagram according to HT(n,m); PG n As the X axis, ET (n, m) as the Y axis to establish a two-dimensional coordinate system, named the power influence diagram, ET (n, m) according to PG n Enter the power impact 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.

5. The inverter coordinated control method based on photovoltaic prediction according to claim 4 is characterized in that: Recording the inverter's historical operating status and analyzing the relationship between the inverter's device temperature and conversion efficiency includes the following sub-steps: The conversion efficiency corresponding to ET(n,m) is marked as CE(n,m); A rectangular 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 diagram. CE(n,m) is entered into the temperature-efficiency relationship diagram according to ET(n,m); Function fitting is performed on the temperature-efficiency relationship diagram to obtain a temperature-efficiency relationship curve.

6. The inverter coordinated control method based on photovoltaic prediction according to claim 5 is characterized in that: Determining the inverter adjustment strategy based on the predicted total power includes the following sub-steps: Get the total power generated by the current photovoltaic power station, named real-time total power; If the real-time total power is less than the predicted total power, the first adjustment strategy is enabled; if the real-time total power is greater than the predicted total power, the second adjustment strategy is enabled; if the real-time total power is equal to the predicted total power, there is no need to adjust the inverter.

7. The inverter coordinated control method based on photovoltaic prediction according to claim 6 is characterized in that: Calculating the inverter adjustment range based on the adjustment strategy, operating status, and parameter influence relationship and coordinating all inverters includes the following sub-steps: generating an adjustment queue for the inverter based on the first adjustment strategy 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.

8. The inverter coordinated control method based on photovoltaic prediction according to claim 7 is characterized in that: Generating an adjustment queue for the inverter based on the first adjustment strategy or the second adjustment strategy includes the following sub-steps: Get the current device temperature and conversion efficiency of all inverters, name them as real-time temperature and real-time efficiency, number the inverters, and use the symbol IT i Indicates that i is a positive integer and i is the sequence number of IT; IT i The real-time temperature and real-time efficiency are marked as RTT i and RTE i , find RTT i The minimum and maximum values ​​in are marked as RTT min and RTT max , find RTE i The minimum and maximum values ​​in are marked as RTE min and RTE max ; By formula Calculating RTT i Normalized index, where NTT i RTT i The normalized index of Calculating RTE i Normalized index, where NTE i RTE i Normalized index of For any IT i , calculate NTT i -NTE i , mark the calculation result as the priority reference value; If the first adjustment strategy is enabled, the inverters are sorted in ascending order of priority reference values ​​to obtain an adjustment queue; If the second adjustment strategy is enabled, the inverters are sorted in descending order of priority reference values ​​to obtain an adjustment queue.

9. The inverter coordinated control method based on photovoltaic prediction according to claim 8, characterized in that: Calculating the inverter adjustment range based on the adjustment queue and coordinating all inverters includes the following sub-steps: The inverters are numbered in the order from front to back in the adjustment queue, and the symbol IR j Indicates that j is a positive integer and j is the serial number of IR, obtain the current ambient temperature, named real-time temperature; Starting with j=1, get IR j Output power, marked as OP j , find the device temperature corresponding to the maximum conversion efficiency in the temperature efficiency relationship curve, marked as QT j , find the value of the Y axis when the X value in the temperature influence curve is the real-time temperature, name it the temperature influence parameter, and represent it with the symbol TIP; Assume IR j The output power needs to be adjusted to AOP j , AOP j That is IR j After adjusting the output power, the value of the X axis in the power impact curve is equal to the AOP j The value of the Y axis is marked as AT j , there is QT j / AT j =TIP, for AT j Solve and get the corresponding AOP j , IR j The output power is adjusted to AOP j ; After the adjustment is completed, the total output power of the inverter is counted in real time to see if it is equal to the predicted total power generation power. If so, the AOP analysis is stopped. j If not, then increase j by one and analyze the AOP again. j , until the sum of the inverter output powers is equal to the predicted total generated power.

10. An inverter cooperative control system based on photovoltaic prediction, used to implement the inverter cooperative control method based on photovoltaic prediction according to any one of claims 1 to 9, characterized in that: It includes a photovoltaic prediction module, a parameter impact analysis module, an adjustment strategy judgment module and an inverter collaborative adjustment module; the photovoltaic prediction module, the parameter impact analysis module and the adjustment strategy judgment module are respectively connected to the inverter collaborative adjustment module data; The photovoltaic prediction module is used to connect to the photovoltaic prediction model, and the photovoltaic prediction model 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 status, obtain the inverter's operating status in real time, and analyze the inverter's parameter impact relationship based on historical operating status; The adjustment strategy judgment module is used to judge the adjustment strategy of the inverter according to the predicted total power; The inverter cooperative 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 coordinately control all inverters.

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