文章基本信息

标题：FORAGING ALGORITHM FOR OPTIMAL REACTIVE POWER DISPATCH WITH VOLTAGE STABILITY AND RELIABILITY ANALYSIS
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作者：JAGANATHAN S ; Dr. PALANISAMY S.
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：2013
卷号：47
期号：1
页码：143-157
出版社：Journal of Theoretical and Applied
摘要：A novel bio-heuristic algorithm called Refined Bacterial Foraging Algorithm (RBFA) is proposed in the paper to solve the optimal power dispatch of deregulated electric power systems. The Optimal reactive power dispatch (OPD) problem has growing effect in modern electric power systems and the problem in need of to address the secure operation and optimal operation, with optimal location of FACTS devices, control of power flow based on stability indices and reliability analysis. So, this problem is well known as a multi-disciplinary and multi objective problem where in need of exact formulation and solution of the problem. The basic BFA is based on a metaphor of social interaction of E-coli bacteria the self adaptability of individuals in the group searching activities has attracted a great deal of interests in real word problems but it gives poor performance in global points when its applied to high dimensional and multi objective problems. To avoid the local optima and in order to track the good tracking ability of global solutions, the improved version of BFA algorithm is proposed and the proposed algorithm is called Refined Bacterial Foraging Algorithm (RBFA).The RBFA is improved version of the basic BFA with search direction phenomenon, variation of step sizes in chemotaxis behavior and variation of position updating process. The optimal dispatch problem consist of reactive power dispatch, optimal location of FACTS devices with transformer taps, real power loss and voltage stability margin are simultaneously optimized with effective controls and limits. The evaluation analysis of proposed work carried out with Standard IEEE systems. The simulation result shows the performance of RBFA is superior or comparable to that of the other algorithms and is greatly in terms of speed of convergence, optimization quality, robustness and fast convergence ability.
关键词：Bacterial Foraging Algorithm; Refined Bacterial Foraging Algorithm; Multi-Objective Optimization; FACTS Devices; Reactive Power Dispatch; Q-V Analysis; Stability Indices.