Power system dynamic load identification and stability

Abstract

Proper power system load models are playing more important roles in power system stability analysis in today's stressed power systems. Different load models may cause a large difference in stability analytical results. Measurement based load modeling gives a closer look at the real power system loads and their dynamic characteristics. In this paper, genetic algorithms and evolutionary programming based system identification is used to locate the best available parameters for proper load modeling based on real field test data taken in North China.