Open winding photovoltaic synchronous generator pile power generation system

Abstract

The invention relates to the technical field of photovoltaic power generation system operation and maintenance, and provides an open-winding photovoltaic synchronous machine pile power generation system, which comprises a data acquisition unit, a photovoltaic array unit, an open-winding synchronous motor unit, a voltage control unit and an optimization unit, the system monitors and controls the operation data of each winding end of the open-winding synchronous motor in real time, combines a photovoltaic output prediction algorithm and an optimization algorithm, continuously optimizes a power generation control model, realizes stable electric energy output, improves the power generation efficiency and the energy utilization rate, reduces the operation and maintenance cost, and improves the power generation efficiency and the energy utilization rate. And the adaptability and the intelligent operation and maintenance capability of the system are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation system operation and maintenance, and in particular to an open-winding photovoltaic synchronous machine stack power generation system. Background Art

[0002] The open-winding photovoltaic synchronous machine is an innovative device that combines the characteristics of an open-winding motor and a synchronous machine. The open-winding motor opens the neutral point of the three-phase stator winding of the traditional AC motor to form a six-terminal structure, which has the advantages of high DC voltage utilization, better fault tolerance, multi-level modulation and high torque density. The synchronous machine is a special reversible motor with the characteristics of precise torque determination, simple mechanical structure, and damping effect of the stator coil, which can achieve precise speed control and constant speed control.

[0003] When evaluating the active support capability of an open-winding photovoltaic synchronous machine in a power generation system, the technical pain points faced are mainly concentrated in voltage and frequency control. In terms of voltage control, the open-winding structure makes voltage regulation more complicated, and it is necessary to accurately control the voltage at each winding end to ensure stable operation of the system while avoiding voltage fluctuations from causing impacts on the power grid. To achieve this technical effect, the control system needs to have a high degree of dynamic response capability and accurate voltage tracking capability. The existing technology cannot provide stable power output in frequency control. For this reason, the present invention provides an open-winding photovoltaic synchronous machine stack power generation system. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention provides an open-winding photovoltaic synchronous machine stack power generation system and an extraction method to solve the problem that the prior art cannot provide stable power output in frequency control.

[0005] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0006] The present invention provides an open-winding photovoltaic synchronous machine stack power generation system, comprising:

[0007] A data acquisition unit, which acquires data of an open-winding photovoltaic synchronous machine stack power generation system, wherein the data of the open-winding photovoltaic synchronous machine stack power generation system includes photovoltaic component related data, open-winding synchronous motor related data, meteorological data, power generation data and system control data;

[0008] Photovoltaic array unit, which converts light energy into electrical energy;

[0009] The open-winding synchronous motor unit receives the electric energy generated by the photovoltaic array, inputs the electric energy generated by the photovoltaic array into the open-winding synchronous motor, converts the electric energy into mechanical energy through the conversion action of the open-winding synchronous motor, and then converts it into electric energy output;

[0010] A voltage control unit monitors the real-time operating data of each winding end of the open-winding synchronous motor in real time, substitutes the real-time operating data of each winding end of the open-winding synchronous motor into the open-winding photovoltaic synchronous machine stack power generation control model, and outputs the output frequency of the open-winding synchronous motor;

[0011] The optimization unit substitutes the output frequency of the open-winding synchronous motor into a preset photovoltaic output prediction algorithm to obtain a photovoltaic output prediction result, and compares the photovoltaic output prediction result with the open-winding photovoltaic synchronous machine stack power generation system. If the comparison error between the photovoltaic output prediction result and the open-winding photovoltaic synchronous machine stack power generation system is greater than a preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized, and the optimized open-winding photovoltaic synchronous machine stack power generation control model is used to process the real-time operation data of each winding end of the open-winding synchronous motor, and the output frequency of the optimized open-winding synchronous motor is output, and the optimized output frequency of the open-winding synchronous motor is sent to the open-winding synchronous motor.

[0012] Furthermore, in the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the data acquisition unit comprises:

[0013] Data is collected in real time from photovoltaic modules, open-winding synchronous motors, meteorological monitoring equipment, power generation metering devices and system control modules. The collected data types include voltage, current and temperature of photovoltaic modules, speed, winding temperature and power factor of open-winding synchronous motors, meteorological data including light intensity, ambient temperature, wind speed and power generation data. The collected raw data are preprocessed and stored in the database.

[0014] Furthermore, in the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the photovoltaic array unit comprises:

[0015] Solar cells convert light energy directly into electrical energy. Photovoltaic arrays are composed of multiple solar cells connected in series or in parallel. The historical operation data and historical environmental factors of the photovoltaic array are obtained. The historical environmental factors of the photovoltaic array include light intensity, solar incidence angle and temperature. The random forest model is trained using the historical operation data and historical environmental factor data of the photovoltaic array to obtain the photovoltaic array electrical energy conversion model.

[0016] Furthermore, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the open-winding synchronous motor unit comprises:

[0017] The DC power generated by the photovoltaic array is transmitted to the power input terminal of the open-winding synchronous motor through a cable. At the power input terminal, a DC-AC inverter is equipped to convert the DC power generated by the photovoltaic array into AC power. The electromagnetic field inside the open-winding synchronous motor interacts with the input power to generate a rotational torque, causing the rotor of the motor to start rotating. The electrical energy is converted into mechanical energy, which manifests as the rotational motion of the motor. The magnetic field inside the open-winding synchronous motor interacts with the winding to generate an induced electromotive force, generating current in the winding, that is, the conversion of mechanical energy into electrical energy. The generated electrical energy is AC power, and the electrical energy generated by the open-winding synchronous motor is output through the output terminal.

[0018] Furthermore, in the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the voltage control unit comprises:

[0019] Real-time collection of voltage, current and temperature operating data of each winding end of the open-winding synchronous motor;

[0020] Extract the real-time operating data of each winding end of the open-winding synchronous motor from the database, use the real-time operating data of each winding end of the open-winding synchronous motor as input parameters, and substitute them into the open-winding photovoltaic synchronous machine stack power generation control model. The open-winding photovoltaic synchronous machine stack power generation control model is built based on a machine learning algorithm and is used to output the relationship between the motor operating characteristics and the output frequency;

[0021] The open-winding photovoltaic synchronous machine stack power generation control model predicts the output frequency of the open-winding synchronous motor according to the input operating data, and sends the calculated output frequency to the inverter and speed regulator equipment of the open-winding synchronous motor through a control signal.

[0022] Furthermore, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the optimization unit comprises:

[0023] Obtain output frequency data from the open-winding synchronous motor and use the output frequency data as an input parameter into a preset photovoltaic output prediction algorithm. The photovoltaic output prediction algorithm is built based on historical data, meteorological conditions, and motor performance parameters to estimate the output capacity of the photovoltaic system at a given output frequency;

[0024] The photovoltaic output prediction algorithm calculates the photovoltaic output prediction result based on the input output frequency. The photovoltaic output prediction result includes the expected power generation and power output index of the photovoltaic system;

[0025] Compare the photovoltaic output prediction results with the actual operating data of the open-winding photovoltaic synchronous machine stack power generation system, including comparing the predicted power generation with the actual power generation, and the predicted power output with the actual power output;

[0026] Calculate the comparison error, that is, the difference between the predicted result and the actual data, and determine whether the comparison error is greater than the preset error value;

[0027] If the comparison error is greater than the preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized.

[0028] Furthermore, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the optimization unit comprises:

[0029] According to the comparison error between the photovoltaic output prediction result and the actual power generation system, the optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system is matched in the preset optimization algorithm knowledge base to obtain;

[0030] The open-winding photovoltaic synchronous machine stack power generation control model is optimized using an optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system, and an optimized open-winding photovoltaic synchronous machine stack power generation control model is obtained;

[0031] Using the optimized open-winding photovoltaic synchronous machine stack power generation control model, the real-time operating data of each winding end of the open-winding synchronous motor is processed. The real-time operating data of each winding end of the open-winding synchronous motor is processed, including data collection, preprocessing, input into the model, and calculation based on the data by the optimized open-winding photovoltaic synchronous machine stack power generation control model.

[0032] Beneficial effects of the present invention;

[0033] The present invention uses a voltage control unit to accurately monitor and control the real-time operating data of each winding end of the open-winding synchronous motor. Combined with the open-winding photovoltaic synchronous machine stack power generation control model, it can output a more stable electric energy frequency, solving the problem that the prior art cannot provide stable electric energy output in frequency control.

[0034] The optimization unit uses the photovoltaic output prediction algorithm to predict the system output, and optimizes the power generation control model based on the comparison error between the prediction result and the actual operation data. This continuous iterative optimization process can continuously improve the overall performance of the system, including power generation efficiency, energy utilization, and system stability and reliability.

[0035] The present invention forms an intelligent photovoltaic power generation system operation and maintenance system by integrating a data acquisition unit, a photovoltaic array unit, an open-winding synchronous motor unit, a voltage control unit and an optimization unit. The system can automatically collect, process and analyze data, adjust the control strategy according to real-time conditions, and realize intelligent operation and management of the photovoltaic power generation system.

[0036] The open-winding photovoltaic synchronous machine stack power generation system of the present invention can be adaptively adjusted according to different working environments and load conditions. Through multiple optimization strategies in the optimization algorithm knowledge base, the system can match the optimization method that best suits the current error situation, thereby enhancing the adaptability and robustness of the system.

[0037] Through precise voltage and frequency control and intelligent operation and maintenance management, the present invention can reduce energy waste and operation and maintenance costs caused by inaccurate predictions. At the same time, the improved stability and reliability of the system also reduces the failure rate and downtime, further reducing operation and maintenance costs.

[0038] In summary, the open-winding photovoltaic synchronous machine stack power generation system provided by the present invention has significant beneficial effects, and performs well in improving the stability of power output, enhancing the overall performance of the system, intelligent operation and maintenance, strong adaptability, reducing operation and maintenance costs, and promoting the development of renewable energy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on the drawings without paying any creative labor.

[0040] Figure 1 A schematic diagram of a unit module in an open-winding photovoltaic synchronous machine stack power generation system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding 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 creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0042] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0043] The present invention provides an open-winding photovoltaic synchronous machine stack power generation system, comprising:

[0044] A data acquisition unit, which acquires data of an open-winding photovoltaic synchronous machine stack power generation system, wherein the data of the open-winding photovoltaic synchronous machine stack power generation system includes photovoltaic component related data, open-winding synchronous motor related data, meteorological data, power generation data and system control data;

[0045] PV module data includes parameters such as PV module voltage, current, temperature, etc. PV module data can reflect the working status and efficiency of PV modules, and is of great significance for evaluating the overall performance of PV systems and conducting fault diagnosis.

[0046] Open-winding synchronous motor related data: The speed, winding temperature, power factor and other data of the open-winding synchronous motor are monitored and recorded in real time.

[0047] Meteorological data includes light intensity, ambient temperature, wind speed, etc. Meteorological conditions have a direct impact on the power generation efficiency of photovoltaic systems. By monitoring meteorological data in real time, the operating status of the system can be predicted and adjusted to cope with different environmental conditions.

[0048] Power generation data: Power generation is an important indicator to measure the performance of a photovoltaic system. The data acquisition unit will record the system's power generation data to evaluate the system's power generation capacity and efficiency.

[0049] System control data includes various instructions and parameter settings of the system control module. By collecting data, we can understand the system's control strategy and operating status, providing a basis for subsequent optimization and improvement.

[0050] The data acquisition unit collects these data in real time from photovoltaic modules, open-winding synchronous motors, meteorological monitoring equipment, power generation metering devices and system control modules, and pre-processes the collected raw data, including data cleaning and format conversion, to improve the accuracy and availability of the data. The pre-processed data will be stored in the database for subsequent analysis and processing.

[0051] In summary, the data acquisition unit provides a solid foundation for the operation, monitoring and optimization of the system by comprehensively and real-time collecting various data of the open-winding photovoltaic synchronous machine stack power generation system.

[0052] Photovoltaic array unit, which converts light energy into electrical energy;

[0053] The photovoltaic array unit is one of the components in the open-winding photovoltaic synchronous machine stack power generation system. Its main function is to convert light energy into electrical energy. The following is a detailed introduction to the photovoltaic array unit:

[0054] A photovoltaic array unit is composed of multiple solar cells, which are connected together in series or in parallel to form an overall photovoltaic array. A solar cell is a semiconductor device that can directly convert light energy into electrical energy. Its working principle is based on the photoelectric effect. When sunlight shines on a solar cell, photons excite the electrons in the solar cell, causing it to generate current, thereby converting light energy into electrical energy.

[0055] In a photovoltaic array unit, the number and connection method of solar cells will directly affect the power generation capacity and efficiency of the photovoltaic array. By optimizing the number and connection method of solar cells, the power generation efficiency and stability of the photovoltaic array can be improved.

[0056] In addition, the performance of the photovoltaic array unit will also be affected by environmental factors such as light intensity, solar incident angle, and temperature. In order to maximize the power generation efficiency of the photovoltaic array, the photovoltaic array unit in the present invention also uses a random forest model for training and optimization. The power conversion efficiency of the photovoltaic array can be predicted based on the photovoltaic array operation history data and the photovoltaic array historical environmental factors (such as light intensity, solar radiation angle, and temperature, etc.). In this way, the precise control and optimization of the photovoltaic array power generation efficiency can be achieved.

[0057] In summary, the photovoltaic array unit plays a vital role in the open-winding photovoltaic synchronous machine stack power generation system through its unique structure and function. It efficiently converts light energy into electrical energy, providing a continuous source of energy for the entire system.

[0058] The open-winding synchronous motor unit receives the electric energy generated by the photovoltaic array, inputs the electric energy generated by the photovoltaic array into the open-winding synchronous motor, converts the electric energy into mechanical energy through the conversion action of the open-winding synchronous motor, and then converts it into electric energy output;

[0059] The open-winding synchronous motor unit receives the electric energy generated by the photovoltaic array in the open-winding photovoltaic synchronous machine stack power generation system, and converts the electric energy into mechanical energy first, and then converts it back into electric energy output. The following is a detailed description of the working process of the open-winding synchronous motor unit:

[0060] Power input: The DC power generated by the photovoltaic array is transmitted to the power input terminal of the open-winding synchronous motor through cables. Power is the main energy source of the system and directly determines the efficiency of the subsequent conversion process and the quality of the output power.

[0061] DC-AC Inversion: A DC-AC inverter is installed at the power input of the open-winding synchronous motor. This key device is responsible for converting the direct current generated by the photovoltaic array into alternating current. This step is essential because the open-winding synchronous motor requires alternating current to drive its internal electromagnetic field and rotational motion.

[0062] Conversion of electrical energy into mechanical energy: When AC is input into an open-winding synchronous motor, the electromagnetic field inside the motor interacts with the input electrical energy. This interaction generates a rotational torque, causing the motor's rotor to start rotating. In this process, electrical energy is effectively converted into mechanical energy, which manifests as the motor's rotational motion.

[0063] Mechanical energy is converted into electrical energy: The magnetic field inside the open-winding synchronous motor interacts with the winding, further generating an induced electromotive force. Current is generated in the winding, and this process realizes the conversion of mechanical energy into electrical energy. It is worth noting that the electrical energy generated by the open-winding synchronous motor is alternating current, which is consistent with the form of its input electrical energy.

[0064] Electric energy output: After the above conversion process, the AC power generated by the open-winding synchronous motor is output through the output terminal for use by subsequent circuits or equipment. The electric energy can be directly transmitted to the power grid or used to drive other loads.

[0065] The reason why the open-winding synchronous motor unit can realize the conversion from electrical energy to mechanical energy and then to electrical energy is mainly due to its unique open-winding structure and the characteristics of the synchronous motor. The open-winding structure enables the motor to control voltage and current more flexibly, while the characteristics of the synchronous motor ensure the stability and efficiency of the conversion process.

[0066] In general, the open-winding synchronous motor unit is an indispensable component of the open-winding photovoltaic synchronous machine stack power generation system, and provides stable power output for the system through an efficient power conversion process.

[0067] A voltage control unit monitors the real-time operating data of each winding end of the open-winding synchronous motor in real time, substitutes the real-time operating data of each winding end of the open-winding synchronous motor into the open-winding photovoltaic synchronous machine stack power generation control model, and outputs the output frequency of the open-winding synchronous motor;

[0068] The main task of the voltage control unit in the open-winding photovoltaic synchronous machine stack power generation system is to ensure that the open-winding synchronous motor can operate stably. The following is a detailed explanation of the working principle of the voltage control unit:

[0069] The voltage control unit is responsible for real-time monitoring of the real-time operating data of each winding end of the open-winding synchronous motor, including but not limited to key parameters such as voltage, current, and temperature, which can fully reflect the working status and performance of the motor.

[0070] After obtaining these real-time operating data, the voltage control unit will substitute these data as input parameters into the open-winding photovoltaic synchronous machine stack power generation control model. The control model is built based on a machine learning algorithm and can accurately describe the relationship between the motor's operating characteristics and the output frequency.

[0071] The open-winding photovoltaic synchronous machine stack power generation control model predicts the optimal output frequency of the open-winding synchronous motor based on the input real-time operating data through complex calculations and analysis. The output frequency is a parameter to ensure stable operation and efficient power generation of the motor.

[0072] When the optimal output frequency is calculated, the voltage control unit will immediately send this frequency value to the inverter and speed regulator of the open-winding synchronous motor through a control signal. The inverter will adjust the input voltage and current of the motor according to the received frequency signal, while the speed regulator will control the speed of the motor to ensure that the motor runs stably according to the predetermined output frequency.

[0073] The voltage control unit also has dynamic adjustment and optimization capabilities. During operation, if the real-time operating data of the motor is detected to be different from the predicted value, the voltage control unit will immediately make adjustments to correct the deviation by optimizing the parameters or strategies of the open-winding photovoltaic synchronous machine stack power generation control model to ensure that the motor can always operate stably in the best state.

[0074] In summary, the voltage control unit ensures the stable operation of the open-winding synchronous motor in the open-winding photovoltaic synchronous machine stack power generation system through a series of steps such as real-time monitoring, data substitution into the model, output frequency calculation, control signal sending, and dynamic adjustment and optimization.

[0075] The optimization unit substitutes the output frequency of the open-winding synchronous motor into a preset photovoltaic output prediction algorithm to obtain a photovoltaic output prediction result, and compares the photovoltaic output prediction result with the open-winding photovoltaic synchronous machine stack power generation system. If the comparison error between the photovoltaic output prediction result and the open-winding photovoltaic synchronous machine stack power generation system is greater than a preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized, and the optimized open-winding photovoltaic synchronous machine stack power generation control model is used to process the real-time operation data of each winding end of the open-winding synchronous motor, and the output frequency of the optimized open-winding synchronous motor is output, and the optimized output frequency of the open-winding synchronous motor is sent to the open-winding synchronous motor.

[0076] The optimization unit continuously optimizes the operating efficiency of the open-winding photovoltaic synchronous machine stack power generation system through a series of complex calculation and comparison processes to provide stable power output.

[0077] Substituting into the photovoltaic output prediction algorithm: The optimization unit first obtains the real-time output frequency data from the open-winding synchronous motor. Then, the data is substituted into the preset photovoltaic output prediction algorithm, which is built based on historical data, meteorological conditions, motor performance parameters and other factors, and can accurately estimate the output capacity of the photovoltaic system at a given output frequency.

[0078] The photovoltaic output prediction algorithm calculates and analyzes the input output frequency data, and finally obtains the photovoltaic output prediction result. The photovoltaic output prediction result includes important parameters such as the expected power generation and power output index of the photovoltaic system, which provides a basis for subsequent comparison and optimization.

[0079] The optimization unit compares the photovoltaic output prediction results with the actual operating data of the open-winding photovoltaic synchronous machine stack power generation system. This comparison process covers many aspects, such as the comparison between the predicted power generation and the actual power generation, the comparison between the predicted power output and the actual power output, etc. Through the comparison, it can be evaluated whether the operating efficiency of the current system has reached the expected target.

[0080] During the comparison process, the optimization unit calculates the difference between the predicted result and the actual data, which is the comparison error. This error value reflects the gap between the current system operating efficiency and the expected target.

[0081] If the comparison error is greater than the preset error value, it means that the current system's operating efficiency has not reached the expected target and needs to be optimized. At this time, the optimization unit will match the comparison error between the photovoltaic output prediction result and the actual power generation system in the preset optimization algorithm knowledge base to find the corresponding optimization algorithm. Then, this optimization algorithm is used to optimize the open-winding photovoltaic synchronous machine stack power generation control model to obtain the optimized model.

[0082] The optimized open-winding photovoltaic synchronous machine stack power generation control model can more accurately predict the output frequency of the motor. The optimization unit sends this optimized frequency value to the open-winding synchronous motor to guide it to operate at a more efficient frequency.

[0083] The work of the optimization unit is not a one-time operation, but a continuous process. It will continuously monitor the system's operating data and dynamically adjust and optimize the model according to actual conditions to ensure that the system always maintains the best operating state.

[0084] In summary, the optimization unit continuously optimizes the operating efficiency of the open-winding photovoltaic synchronous machine stack power generation system to ensure stable power output through a series of steps such as substituting the photovoltaic output prediction algorithm, comparing the prediction results with the actual operation data, judging the comparison error, optimizing the model, and outputting the optimized frequency.

[0085] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the data acquisition unit includes:

[0086] Data is collected in real time from photovoltaic modules, open-winding synchronous motors, meteorological monitoring equipment, power generation metering devices and system control modules. The collected data types include voltage, current and temperature of photovoltaic modules, speed, winding temperature and power factor of open-winding synchronous motors, meteorological data including light intensity, ambient temperature, wind speed and power generation data. The collected raw data are preprocessed and stored in the database.

[0087] The data acquisition unit collects data from multiple sources in real time through high-precision sensors and monitoring equipment:

[0088] PV module voltage: reflects the working voltage status of PV modules and is an important indicator for evaluating their performance.

[0089] PV module current: displays the current generated by the PV module, which together with the voltage determines the power output of the module.

[0090] PV module temperature: affects the conversion efficiency of PV modules. Too high or too low temperature may lead to a decrease in efficiency.

[0091] Open-winding synchronous motor speed: The rotation speed of the motor directly affects the conversion efficiency of mechanical energy to electrical energy.

[0092] Open-Winding Synchronous Motor Temperature: Monitors the temperature of the motor windings to prevent overheating that could cause damage or loss of efficiency.

[0093] Open-winding synchronous motor power factor: reflects the proportional relationship between the motor input power and output power, and is a key indicator for evaluating the motor's energy efficiency.

[0094] Meteorological monitoring equipment light intensity: directly affects the photoelectric conversion efficiency of photovoltaic modules.

[0095] Meteorological monitoring equipment ambient temperature: affects the operating temperature of photovoltaic modules and motors, thus affecting the overall efficiency of the system.

[0096] Meteorological monitoring equipment Wind speed: Although it does not directly affect the photovoltaic modules, it has a certain impact on system heat dissipation and motor cooling.

[0097] Power generation data of power generation metering device: records the total amount of electricity generated by the system, which is the direct basis for evaluating system performance and economic benefits.

[0098] Power generation metering device system control module: collects system control instructions and parameter setting information to understand the system's operating status and control strategy.

[0099] The collected raw data may contain noise, outliers or missing values, so preprocessing is required to ensure the accuracy of the data, remove invalid data, fill missing values, and correct erroneous data. Convert the raw data into a format suitable for subsequent processing and analysis, such as converting analog signals into digital signals. Normalize or standardize the data to eliminate the mutual influence between data of different dimensions.

[0100] The preprocessed data is stored in a high-performance database for subsequent analysis, query and report generation. A reasonable database structure is designed according to the data type and purpose to ensure efficient storage and query of data. Data is backed up regularly to prevent data loss or damage; at the same time, a data recovery plan is formulated to ensure rapid recovery in the event of data loss. Necessary security measures such as encryption and access control are taken to ensure data security and privacy.

[0101] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the photovoltaic array unit comprises:

[0102] Solar cells convert light energy directly into electrical energy. Photovoltaic arrays are composed of multiple solar cells connected in series or in parallel. The historical operation data and historical environmental factors of the photovoltaic array are obtained. The historical environmental factors of the photovoltaic array include light intensity, solar incidence angle and temperature. The random forest model is trained using the historical operation data and historical environmental factor data of the photovoltaic array to obtain the photovoltaic array electrical energy conversion model.

[0103] In the open-winding photovoltaic synchronous machine stack power generation system, the photovoltaic array unit is one of its core components, which is responsible for converting solar energy into electrical energy to provide power for the entire system. The following is a detailed description of the specific composition of the photovoltaic array unit:

[0104] Solar cells are the basic unit of photovoltaic array units, which can directly convert light energy into electrical energy. This process is based on the photoelectric effect, that is, when sunlight shines on the solar cell, the photons excite the electrons inside the cell, generating an electric current, thereby converting light energy into electrical energy.

[0105] A photovoltaic array is composed of multiple solar cells connected in series or in parallel. By connecting in series, the output voltage can be increased; by connecting in parallel, the output current can be increased. The size and configuration of a photovoltaic array depends on the specific application requirements and scenarios.

[0106] In order to build a photovoltaic array power conversion model, it is first necessary to collect the operation history data of the photovoltaic array and the historical environmental factor data. These data include the operation data of the photovoltaic array such as voltage, current, output power, and environmental factor data such as light intensity, solar incidence angle, and temperature. These data can be obtained in real time through sensors installed on the photovoltaic array and meteorological monitoring equipment.

[0107] After collecting enough data, use this data to train the random forest model. Random forest is an ensemble learning method that improves the accuracy and robustness of the model by building multiple decision trees and combining their prediction results. During the training process, the model will learn the influence of environmental factors such as light intensity, solar incidence angle, temperature, etc. on the power conversion efficiency of photovoltaic arrays.

[0108] After training, the photovoltaic array power conversion model can be used to predict the power conversion efficiency of the photovoltaic array under different environmental conditions. This is of great significance for optimizing the operation strategy of the photovoltaic system and improving the power generation efficiency.

[0109] The random forest model can significantly reduce the risk of overfitting a single decision tree by building multiple decision trees and combining their prediction results, thereby improving the accuracy of the model. The random forest model has a good tolerance for outliers and noise data, and can maintain stable performance in complex and changing real-world environments. The random forest model has a clear algorithm flow and an easy-to-understand model structure, which is easy to implement and deploy in practical applications.

[0110] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the open-winding synchronous motor unit comprises:

[0111] The DC power generated by the photovoltaic array is transmitted to the power input terminal of the open-winding synchronous motor through a cable. At the power input terminal, a DC-AC inverter is equipped to convert the DC power generated by the photovoltaic array into AC power. The electromagnetic field inside the open-winding synchronous motor interacts with the input power to generate a rotational torque, causing the rotor of the motor to start rotating. The electrical energy is converted into mechanical energy, which manifests as the rotational motion of the motor. The magnetic field inside the open-winding synchronous motor interacts with the winding to generate an induced electromotive force, generating current in the winding, that is, the conversion of mechanical energy into electrical energy. The generated electrical energy is AC power, and the electrical energy generated by the open-winding synchronous motor is output through the output terminal.

[0112] The DC power generated by the photovoltaic array is transmitted to the power input terminal of the open-winding synchronous motor through cables. At the power input terminal, a DC-AC inverter is equipped, which is responsible for converting the DC power generated by the photovoltaic array into AC power to meet the working requirements of the open-winding synchronous motor.

[0113] The conversion of electrical energy into mechanical energy, the electromagnetic field inside the open-winding synchronous motor interacts with the input AC electrical energy to generate a rotational torque, causing the motor's rotor to start rotating. In this process, electrical energy is converted into mechanical energy, which manifests as the motor's rotational motion.

[0114] The conversion of mechanical energy to electrical energy, the magnetic field inside the open-winding synchronous motor interacts with the winding to generate an induced electromotive force. Current is generated in the winding, and this process realizes the conversion of mechanical energy to electrical energy, and the generated electrical energy is alternating current. The AC power generated by the open-winding synchronous motor is output through the output terminal for subsequent system use or grid-connected power supply. It is equipped with a DC-AC inverter to realize the conversion of DC to AC, including cables and connection devices to ensure the safe and efficient transmission of electrical energy from the photovoltaic array to the open-winding synchronous motor.

[0115] The open-winding synchronous motor body contains a rotor and a stator. The rotor rotates under the action of the electromagnetic field to achieve the conversion of electrical energy to mechanical energy. The motor is designed with a complex winding structure, which interacts with the magnetic field to generate induced electromotive force and current, achieving the conversion of mechanical energy to electrical energy.

[0116] The output end includes cables and connection devices, which are used to output the AC power generated by the open-winding synchronous motor to the subsequent system or power grid. It is equipped with necessary protection devices and measuring instruments to ensure the safety and reliability of power output.

[0117] In summary, the open-winding synchronous motor unit realizes the conversion process from light energy to electrical energy, then to mechanical energy, and finally back to electrical energy in the open-winding photovoltaic synchronous machine stack power generation system. In this process, the open-winding synchronous motor unit not only converts the DC power generated by the photovoltaic array into mechanical energy, but also generates additional AC power output through the interaction between the internal magnetic field and the winding, thereby improving the energy utilization efficiency of the entire system.

[0118] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the voltage control unit includes:

[0119] Real-time collection of voltage, current and temperature operating data of each winding end of the open-winding synchronous motor;

[0120] Extract the real-time operating data of each winding end of the open-winding synchronous motor from the database, use the real-time operating data of each winding end of the open-winding synchronous motor as input parameters, and substitute them into the open-winding photovoltaic synchronous machine stack power generation control model. The open-winding photovoltaic synchronous machine stack power generation control model is built based on a machine learning algorithm and is used to output the relationship between the motor operating characteristics and the output frequency;

[0121] The open-winding photovoltaic synchronous machine stack power generation control model predicts the output frequency of the open-winding synchronous motor according to the input operating data, and sends the calculated output frequency to the inverter and speed regulator equipment of the open-winding synchronous motor through a control signal.

[0122] The data acquisition module is responsible for real-time acquisition of operating data such as voltage, current, temperature, etc. at each winding end of the open-winding synchronous motor. These data are important bases for evaluating the motor's operating status and predicting the output frequency.

[0123] The database is used to store historical operating data and environmental factor data of open-winding synchronous motors. These data provide rich sample resources for the training and optimization of machine learning algorithms.

[0124] The open-winding photovoltaic synchronous machine generation control model is the core part of the voltage control unit. The model is built based on a machine learning algorithm, which can learn the relationship between the motor's operating characteristics and output frequency, and predict the motor's output frequency based on real-time operating data.

[0125] The control signal sending module is responsible for converting the output frequency predicted by the control model into a control signal and sending it to the inverter and speed regulator of the open-winding synchronous motor. By adjusting the working status of the inverter and speed regulator, the motor output frequency can be accurately controlled.

[0126] The data acquisition module collects the operating data such as voltage, current, temperature, etc. of each winding end of the open-winding synchronous motor in real time, and pre-processes these data, such as denoising and normalization, to improve the accuracy and reliability of the data.

[0127] Historical data similar to the current operating status are extracted from the database as auxiliary input parameters, and input into the open-winding photovoltaic synchronous machine stack power generation control model together with the real-time collected operating data.

[0128] The control model analyzes and processes the input operating data based on a machine learning algorithm to predict the output frequency of the open-winding synchronous motor. This process fully considers the motor's operating characteristics, environmental factors, and the impact of historical operating data.

[0129] The predicted output frequency is converted into a control signal and sent to the inverter and speed regulator of the open-winding synchronous motor. By adjusting the working state of the inverter and speed regulator, the motor output frequency can be accurately controlled to ensure stable operation of the system and efficient power generation.

[0130] The control model based on machine learning algorithm can learn the relationship between complex motor operating characteristics and output frequency, thereby achieving high-precision output frequency prediction. By collecting and processing operating data in real time, the voltage control unit can quickly respond to changes in system status and adjust the motor output frequency in time to ensure stable operation of the system. The voltage control unit can adapt to different working environments and load conditions, and improve the adaptability and robustness of the system by learning and optimizing control strategies.

[0131] In summary, the voltage control unit plays a vital role in the open-winding photovoltaic synchronous machine stack power generation system by accurately controlling the output frequency of the motor.

[0132] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the optimization unit includes:

[0133] Obtain output frequency data from the open-winding synchronous motor and use the output frequency data as an input parameter into a preset photovoltaic output prediction algorithm. The photovoltaic output prediction algorithm is built based on historical data, meteorological conditions, and motor performance parameters to estimate the output capacity of the photovoltaic system at a given output frequency;

[0134] The photovoltaic output prediction algorithm calculates the photovoltaic output prediction result based on the input output frequency. The photovoltaic output prediction result includes the expected power generation and power output index of the photovoltaic system;

[0135] Compare the photovoltaic output prediction results with the actual operating data of the open-winding photovoltaic synchronous machine stack power generation system, including comparing the predicted power generation with the actual power generation, and the predicted power output with the actual power output;

[0136] Calculate the comparison error, that is, the difference between the predicted result and the actual data, and determine whether the comparison error is greater than the preset error value;

[0137] If the comparison error is greater than the preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized.

[0138] In the open-winding photovoltaic synchronous machine stack power generation system, the optimization unit is responsible for continuously optimizing the power generation control model according to the actual operation data of the system and the photovoltaic output prediction results to improve the overall performance and efficiency of the system. The following is a detailed description of the specific working principle and components of the optimization unit:

[0139] The data acquisition module is responsible for obtaining the output frequency data from the open-winding synchronous motor and passing it as an input parameter to the photovoltaic output prediction algorithm.

[0140] The photovoltaic output prediction algorithm is built based on historical data, meteorological conditions, motor performance parameters, etc., and is used to estimate the output capacity of the photovoltaic system at a given output frequency. It calculates the expected power generation and power output indicators of the photovoltaic system based on the input output frequency data.

[0141] Compare the photovoltaic output prediction results with the actual operating data of the open-winding photovoltaic synchronous machine stack power generation system, including the comparison between the predicted power generation and the actual power generation, and the predicted power output and the actual power output. Calculate the comparison error, that is, the difference between the prediction result and the actual data, and determine whether the comparison error is greater than the preset error value.

[0142] If the comparison error is greater than the preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized to improve the prediction accuracy and the overall performance of the system. The data acquisition module obtains the output frequency data from the open-winding synchronous motor in real time or periodically, and passes it as an input parameter to the photovoltaic output prediction algorithm.

[0143] The photovoltaic output prediction algorithm calculates the expected power generation and power output index of the photovoltaic system based on the input output frequency data, combined with historical data, meteorological conditions, motor performance parameters, etc. The comparative analysis module compares the photovoltaic output prediction results with the actual operation data of the system to evaluate the accuracy of the prediction.

[0144] The error calculation and judgment module calculates the comparison error and determines whether it is greater than the preset error value. If the error is within the acceptable range, the system continues to run; if the error exceeds the range, optimization is required.

[0145] When the comparison error is greater than the preset error value, the model optimization module will optimize the open-winding photovoltaic synchronous machine stack power generation control model. The optimization process may include adjusting algorithm parameters, updating historical data, improving model structure, etc. to improve the accuracy of prediction and the overall performance of the system.

[0146] By optimizing the control model, the accuracy of the photovoltaic output prediction algorithm is improved, making the prediction results closer to the actual operating data. By optimizing the control model, the overall performance of the open-winding photovoltaic synchronous machine stack power generation system is improved, including improving power generation efficiency, reducing operating costs, and enhancing system stability. By optimizing the control model, the system can better adapt to different working environments and load conditions, and improve the adaptability and robustness of the system.

[0147] In summary, the optimization unit plays a vital role in the open-winding photovoltaic synchronous machine power generation system. Through continuous optimization and improvement, the prediction accuracy, overall performance and adaptability of the system can be improved, thereby promoting the efficient utilization and development of renewable energy.

[0148] Specifically, the open-winding photovoltaic synchronous machine stack power generation system of the present invention, the optimization unit includes:

[0149] According to the comparison error between the photovoltaic output prediction result and the actual power generation system, the optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system is matched in the preset optimization algorithm knowledge base to obtain;

[0150] The open-winding photovoltaic synchronous machine stack power generation control model is optimized using an optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system, and an optimized open-winding photovoltaic synchronous machine stack power generation control model is obtained;

[0151] Using the optimized open-winding photovoltaic synchronous machine stack power generation control model, the real-time operating data of each winding end of the open-winding synchronous motor is processed. The real-time operating data of each winding end of the open-winding synchronous motor is processed, including data collection, preprocessing, input into the model, and calculation based on the data by the optimized open-winding photovoltaic synchronous machine stack power generation control model.

[0152] The optimization unit is responsible for accurately optimizing the power generation control model based on the comparison error between the photovoltaic output prediction result and the actual power generation system to improve the overall performance of the system. The following is the detailed working principle and steps of the optimization unit:

[0153] The optimization unit first calculates the comparison error between the photovoltaic output prediction result and the actual power generation system. Then it searches for an optimization algorithm that matches this comparison error in the preset optimization algorithm knowledge base. This knowledge base contains a variety of optimization strategies for different error conditions to ensure that the most suitable optimization method for the current error condition can be found.

[0154] The matched optimization algorithm is used to optimize the open-winding photovoltaic synchronous machine stack power generation control model. The optimization process may involve adjusting model parameters, improving algorithm logic, introducing new variables or features, etc. to improve the prediction accuracy and response speed of the model. After optimization, a new open-winding photovoltaic synchronous machine stack power generation control model with better performance is obtained.

[0155] The optimized open-winding photovoltaic synchronous machine stack power generation control model is used to process the real-time operation data of each winding end of the open-winding synchronous motor. The data processing process includes data collection, preprocessing (such as denoising, normalization, etc.), input into the model, and the model calculates based on the input data and outputs prediction results or control instructions.

[0156] The optimization unit continuously monitors the comparison error between the photovoltaic output prediction result and the actual power generation system. When the error exceeds the preset range, the above optimization process is repeated. Through continuous iteration and optimization, the performance and stability of the open-winding photovoltaic synchronous machine stack power generation system are continuously improved.

[0157] Utilize the optimization algorithm knowledge base and machine learning technology to achieve automated model optimization and iteration, reducing manual intervention. Match the most appropriate optimization algorithm according to the real-time error to improve the accuracy of model prediction and the response speed of the system. Automatically adjust model parameters and optimization strategies according to different working environments and load conditions to enhance the adaptability and robustness of the system. More accurately predict photovoltaic output by optimizing the control model, improve the power generation efficiency and energy utilization of the system. Reduce energy waste and operation and maintenance costs caused by inaccurate predictions, and improve the economic benefits of the system. Improve the stability and reliability of the system and reduce failure rates and downtime through continuous optimization and iteration.

[0158] The technical solution of the present invention solves the problem that the prior art cannot provide stable power output in frequency control by the following methods:

[0159] The present invention provides an open-winding photovoltaic synchronous machine stack power generation system, which includes a data acquisition unit, a photovoltaic array unit, an open-winding synchronous motor unit, a voltage control unit, and an optimization unit. These units work together to achieve frequency control of the open-winding photovoltaic synchronous machine stack power generation system, thereby providing stable power output.

[0160] Specifically, the data acquisition unit is responsible for acquiring various data of the open-winding photovoltaic synchronous machine stack power generation system, including photovoltaic module related data, open-winding synchronous motor related data, meteorological data, power generation data and system control data. These data provide the basis for subsequent processing and decision-making. The photovoltaic array unit is responsible for converting light energy into electrical energy to provide energy for the entire system.

[0161] The open-winding synchronous motor unit receives the electrical energy generated by the photovoltaic array, and converts the electrical energy into mechanical energy through its conversion function, and then converts it into electrical energy output. In this process, the electromagnetic field inside the open-winding synchronous motor interacts with the input electrical energy to generate a rotational torque, thereby realizing the conversion of electrical energy to mechanical energy. Then, the internal magnetic field interacts with the winding to generate an induced electromotive force, generate current in the winding, and realize the conversion of mechanical energy to electrical energy.

[0162] The voltage control unit monitors the real-time operating data of each winding end of the open-winding synchronous motor in real time, and substitutes these data into the open-winding photovoltaic synchronous machine stack power generation control model to output the output frequency of the open-winding synchronous motor. The model is built based on a machine learning algorithm and can accurately predict the relationship between the motor's operating characteristics and the output frequency, thereby achieving precise control of the frequency.

[0163] The optimization unit further optimizes the system. First, the output frequency data obtained from the open-winding synchronous motor is substituted into the preset photovoltaic output prediction algorithm to obtain the photovoltaic output prediction result. Then, the prediction result is compared with the actual operation data of the open-winding photovoltaic synchronous machine stack power generation system. If the comparison error is greater than the preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized. The optimized model can more accurately predict the output frequency of the motor, thereby further improving the stability of the power output.

[0164] In this way, the open-winding photovoltaic synchronous machine stack power generation system provided by the present invention can provide stable power output in frequency control, solving the problems existing in the prior art.

Claims

1. An open-winding photovoltaic synchronous machine stack power generation system, characterized in that: include: A data acquisition unit, which acquires data of an open-winding photovoltaic synchronous machine stack power generation system, wherein the data of the open-winding photovoltaic synchronous machine stack power generation system includes photovoltaic component related data, open-winding synchronous motor related data, meteorological data, power generation data and system control data; Photovoltaic array unit, which converts light energy into electrical energy; The open-winding synchronous motor unit receives the electric energy generated by the photovoltaic array, inputs the electric energy generated by the photovoltaic array into the open-winding synchronous motor, converts the electric energy into mechanical energy through the conversion action of the open-winding synchronous motor, and then converts it into electric energy output; A voltage control unit monitors the real-time operating data of each winding end of the open-winding synchronous motor in real time, substitutes the real-time operating data of each winding end of the open-winding synchronous motor into the open-winding photovoltaic synchronous machine stack power generation control model, and outputs the output frequency of the open-winding synchronous motor; The optimization unit substitutes the output frequency of the open-winding synchronous motor into a preset photovoltaic output prediction algorithm to obtain a photovoltaic output prediction result, and compares the photovoltaic output prediction result with the open-winding photovoltaic synchronous machine stack power generation system. If the comparison error between the photovoltaic output prediction result and the open-winding photovoltaic synchronous machine stack power generation system is greater than a preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized, and the optimized open-winding photovoltaic synchronous machine stack power generation control model is used to process the real-time operation data of each winding end of the open-winding synchronous motor, and the output frequency of the optimized open-winding synchronous motor is output, and the optimized output frequency of the open-winding synchronous motor is sent to the open-winding synchronous motor.

2. The open-winding photovoltaic synchronous machine stack power generation system according to claim 1, characterized in that: The data acquisition unit comprises: Data is collected in real time from photovoltaic modules, open-winding synchronous motors, meteorological monitoring equipment, power generation metering devices and system control modules. The collected data types include voltage, current and temperature of photovoltaic modules, speed, winding temperature and power factor of open-winding synchronous motors, meteorological data including light intensity, ambient temperature, wind speed and power generation data. The collected raw data are preprocessed and stored in the database.

3. The open-winding photovoltaic synchronous machine stack power generation system according to claim 1, characterized in that: The photovoltaic array unit comprises: Solar cells convert light energy directly into electrical energy. Photovoltaic arrays are composed of multiple solar cells connected in series or in parallel. The historical operation data and historical environmental factors of the photovoltaic array are obtained. The historical environmental factors of the photovoltaic array include light intensity, solar incidence angle and temperature. The random forest model is trained using the historical operation data and historical environmental factor data of the photovoltaic array to obtain the photovoltaic array electrical energy conversion model.

4. The open-winding photovoltaic synchronous machine stack power generation system according to claim 1, characterized in that: The open-winding synchronous motor unit comprises: The DC power generated by the photovoltaic array is transmitted to the power input terminal of the open-winding synchronous motor through a cable. At the power input terminal, a DC-AC inverter is equipped to convert the DC power generated by the photovoltaic array into AC power. The electromagnetic field inside the open-winding synchronous motor interacts with the input power to generate a rotational torque, causing the rotor of the motor to start rotating. The electrical energy is converted into mechanical energy, which manifests as the rotational motion of the motor. The magnetic field inside the open-winding synchronous motor interacts with the winding to generate an induced electromotive force, generating current in the winding, that is, the conversion of mechanical energy into electrical energy. The generated electrical energy is AC power, and the electrical energy generated by the open-winding synchronous motor is output through the output terminal.

5. The open-winding photovoltaic synchronous machine stack power generation system according to claim 1, characterized in that: The voltage control unit comprises: Real-time collection of voltage, current and temperature operating data of each winding end of the open-winding synchronous motor; Extract the real-time operating data of each winding end of the open-winding synchronous motor from the database, use the real-time operating data of each winding end of the open-winding synchronous motor as input parameters, and substitute them into the open-winding photovoltaic synchronous machine stack power generation control model. The open-winding photovoltaic synchronous machine stack power generation control model is built based on a machine learning algorithm and is used to output the relationship between the motor operating characteristics and the output frequency; The open-winding photovoltaic synchronous machine stack power generation control model predicts the output frequency of the open-winding synchronous motor according to the input operating data, and sends the calculated output frequency to the inverter and speed regulator equipment of the open-winding synchronous motor through a control signal.

6. The open-winding photovoltaic synchronous machine stack power generation system according to claim 1, characterized in that: The optimization unit comprises: Obtain output frequency data from the open-winding synchronous motor and use the output frequency data as an input parameter into a preset photovoltaic output prediction algorithm. The photovoltaic output prediction algorithm is built based on historical data, meteorological conditions, and motor performance parameters to estimate the output capacity of the photovoltaic system at a given output frequency; The photovoltaic output prediction algorithm calculates the photovoltaic output prediction result based on the input output frequency. The photovoltaic output prediction result includes the expected power generation and power output index of the photovoltaic system; Compare the photovoltaic output prediction results with the actual operating data of the open-winding photovoltaic synchronous machine stack power generation system, including comparing the predicted power generation with the actual power generation, and the predicted power output with the actual power output; Calculate the comparison error, that is, the difference between the predicted result and the actual data, and determine whether the comparison error is greater than the preset error value; If the comparison error is greater than the preset error value, the open-winding photovoltaic synchronous machine stack power generation control model is optimized.

7. The open-winding photovoltaic synchronous machine stack power generation system according to claim 6, characterized in that: The optimization unit comprises: According to the comparison error between the photovoltaic output prediction result and the actual power generation system, the optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system is matched in the preset optimization algorithm knowledge base to obtain; The open-winding photovoltaic synchronous machine stack power generation control model is optimized using an optimization algorithm corresponding to the comparison error between the photovoltaic output prediction result and the actual power generation system, and an optimized open-winding photovoltaic synchronous machine stack power generation control model is obtained; Using the optimized open-winding photovoltaic synchronous machine stack power generation control model, the real-time operating data of each winding end of the open-winding synchronous motor is processed. The real-time operating data of each winding end of the open-winding synchronous motor is processed, including data collection, preprocessing, input into the model, and calculation based on the data by the optimized open-winding photovoltaic synchronous machine stack power generation control model.

Images