Title :
Measurement based power system load modeling using a population diversity genetic algorithm
Author :
Wen, Jinyu ; Wang, Shabrong ; Cheng, Shijie ; Wu, Q.H. ; Shimmin, D.W.
Author_Institution :
Dept. of Electr. Power Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Abstract :
This paper developed a new method to make load models alongside the distribution network reduction and to estimate the parameters of the models for the network. 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
Keywords :
distribution networks; genetic algorithms; load (electric); power system parameter estimation; 5-bus power system; IEEE 30-bus power system; distribution network reduction; load models; measurement based power system load modeling; parameters estimation; population diversity genetic algorithm; Computer errors; Genetic algorithms; Load modeling; Machine learning; Mathematical model; Power measurement; Power supplies; Power system measurements; Power system modeling; Power system simulation;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729070
