Application of genetic algorithm for power system state estimation

作     者：Selvi, K. Ramaraj, N. Senthil, Kumar, M. 

作者机构：Department of Electrical Engineering Department of Computer Science and Engineering Department of Power System Engineering Thiagarajar College of Engineering Madurai 625 015 India 

出 版 物：《Journal of the Institution of Engineers (India), Part CP: Computer Engineering Division》 (J Inst Eng India Part CP)

年 卷 期：2005年第86卷第NOV.期

页      面：45-49页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Bad data GA Gross error State estimation 

摘      要：The static state estimator (SE) is a data processing algorithm for converting redundant meter readings and other available information into an estimate of the static state vector. This work centres on the general nature of the problem, mathematical modelling, genetic algorithm (GA) application for state estimate, and concepts underlying the detection and identification of errors in various ranges of standard deviation (s). Calculation of gain matrix (G) and its inversion are totally eliminated in estimating the optimal state vector. GA approach for SE is illustrated with sample systems. The solution obtained using GA is followed, by a reliable bad data processing method on the sample systems and the results are compared with other methods. The comparison confirms the capability of the proposed method for SE in power system.