Simulation Model of Brushless Excitation System: Houshi Power Plant (China)
This paper presents the performance of Excitation system for Houshi power plant (China). A standard simulation model of the proposed system is used by commercial software Power System Stability (PSS/E) and the performance under steady-state and dynamic conditions is studied. Two different identification methods, i.e., genetic algorithm and Prediction Error Method (PEM) are used and compared. In the genetic algorithm, first a block-diagram for the EXS is suggested, therefore in the investigated Excitation system measurement was performed at no-load operation condition to obtain step response to be able to identify the parameters of the model. The simulation results and their comparison, show the good accuracy of both methods. Although the model based on parameter obtained through genetic algorithm shows a better fit when its output response is compared with output response based on prediction Error method.
Excitation system parameter estimation genetic Algorithm method prediction error method (PEM)
Ahmed N.Abd-Alla Ling Luo J.Y.Wen S.J.Cheng Kui Li
College of Electric and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
国际会议
杭州
英文
975-978
2006-10-12（万方平台首次上网日期，不代表论文的发表时间）