Reducing identified parameters of measurement-based composite load model

Abstract

Summary form only given. Load model is one of the most important elements in power system simulation and control.This paper investigates the possibility on reducing the number of composite load model parameters to be identified from field measurements. The paper first shows that direct application of the IEEE load motor parameters in the composite load model may be inadequate on describing the load dynamics over different operating status. Then the perturbation method is used to derive the trajectory sensitivities of the equivalent motor parameters, based on which the reduction on the identified parameters of the composite load model is presented. Two cases are studied to illustrate the validity of the reduction method. It is shown that the reduction does not lose the model capability on describing the load dynamics. The reduction on the number of identified parameters not only provides a possible way to solve the multi-valued load model problem based on the current practices on measurement-based load modeling, but also facilitates building of the load model with more components included in it. Meanwhile, the proposed strategy significantly enhances the efficiency of the load modeling work.