Measurement Based Power System Load Modeling Using A Population Diversity Genetic Algorithm

摘要

This paper developed a new method to make load models alongside with the distribution netowrk reduction and to estimate the parameters of the models for the netowrk. The proposed method uses an intelligent learning technique. A comprehensive area load model is proposed and a population diversity based genetic algorithm is used to estimate the parameters of the load model. Simulation results on a 5-bus power system and an IEEE 30-bus power system are given to show the potential of the proposed method.