A New Meta Heuristic Dragonfly Optimizaion Algorithm for Optimal Reactive Power Dispatch Problem

作     者：Palappan, Anbarasan Thangavelu, Jayabarathi 

作者机构：VIT Univ Sch Elect Engn Vellore Tamil Nadu India 

出 版 物：《GAZI UNIVERSITY JOURNAL OF SCIENCE》 (GU J. Sci.)

年 卷 期：2018年第31卷第4期

页      面：1107-1121页

核心收录：

主　　题：Optimal reactive power dispatch Dragonfly algorithm Real power loss minimization and Swarm intelligence 

摘      要：This research accesses a novel approach of utilising an advanced Meta-heuristic Optimization technique with a single objective to pledge with optimal reactive power dispatch problem in electrical power system network. The prime focus of reactive power dispatch is to curtail the total active power loss in transmission lines. In this detailed study, the dragonfly algorithm was realized on standard IEEE-14 bus and 30 bus systems. The outcome of dragonfly algorithm lucidly indicate the capablity of increasing the antecedent random population size for a liable global optimization problem, focalized close to the global optimum and contributing precise outcome results related to another popular algorithm.