Identification of New Energy Inverter Electromechanical Model Fault Crossing Control Mode

There are a variety of strategies for fault crossing control of new energy inverters, and the operation characteristics of different control methods are quite different, which makes it difficult to build electromechanical modeling of new energy inverters. The identification method of fault traverse control mode for electromechanical model of new energy inverter is proposed. Firstly, the characteristics and important parameters of different fault traverse control methods are analyzed. Secondly, the power and voltage data are segmented, and the improved particle swarm optimization algorithm is used to identify the control methods of three parts: fault crossing period, starting point after fault crossing and recovery stage after fault crossing. Finally, a numerical example is given to verify the accuracy of the identification method.