期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：62
期号：2
出版社：Journal of Theoretical and Applied
摘要：In the paper, hybrid technique for solving optimal power flow problems that occur in power systems. The proposed hybrid technique is the combination of artificial bee colony (ABC) algorithm and artificial intelligence (AI) technique. The purpose of the ABC algorithm is used to optimize the optimal operating range of generation limits. So, the fuel cost and the emission of the power generation system is maintained economically. Because, the ABC is an optimization algorithm based on the intelligent foraging behaviour of honey bee swarm. Here, the artificial neural network (ANN) is used as an AI technique. ANN is one of the AI techniques which used for determining the optimal injected voltage magnitude and voltage angle of UPFC. The optimal placement of UPFC is depends on the power flow deviation and the combination of the power system buses. Using the propose hybrid OPF technique, the optimal power flow of the power system is maintained. The proposed hybrid technique is implemented in MATLAB working platform and the power flow parameters are evaluated. The performance of the hybrid technique is compared with ABC algorithm.
关键词：OPF; Hybrid Technique; FACTS Controller; UPFC; ABC Algorithm; AI Technique; ANN; Power Loss.
