Fast online identification of the dominant parameters of composite load model using volterra model and pattern classification

The accuracy of the load parameters has great effects on the validity of power system simulation. Based on PMU/WAMS, considering the requirements of online simulation, prediction and control, this paper systematically proposes an approach for fast online identification of the dominant parameters of composite load. The approach includes four parts, i.e., the dominance analysis of parameters, the transformation from state equation model to volterra model, mapping of the two types of models based on pattern classification and the fast online identification. Our research shows that the proposed approach can reduce the number of parameters to be identified, and can identify the dominant load parameters very quickly with only a few measurements. Simulation results on a provincial system have verified the effectiveness of the proposed approach.