Generalized Load Modeling Considering Inverter Capacity Limitation

Abstract

This paper aims at the problem of the generalized modeling considering the capacity limitation of inverter. Firstly, how the inverter capacity limitation can influence the generalized load fault response of the grid-connected point was analyzed. Then, the idea of fitting the piecewise function was proposed and applied to the training process of the generalized load artificial with neural network class model. To be clearer, fault samples were jointly trained at the same time to learn different segmentation characteristics. The modeling and simulation results show that the proposed method can improve the generalization ability and stability of the artificial neural network class model in generalized load modeling.