Control Parameter Identification of Photovoltaic Power Generation System Based on Grid Related Test Data

The modeling and Simulation of photovoltaic power generation system is an important means to verify its security and stability. However, the confidentiality of equipment control parameters and the complexity of control logic limit the accuracy of parameter identification. In this paper, a control parameter identification method of photovoltaic power generation system based on PSO algorithm is established, and the key information in the targeted network related test data is extracted to improve the accuracy of parameter identification. Finally, a practical example is given to verify the reliability and applicability of the method under various working conditions.