Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch
作者： Laxmi Srivastava , Himmat Singh
DOI: 10.1049/IET-GTD.2014.0469
关键词: Differential evolution 、 Electric power 、 Swarm behaviour 、 Search algorithm 、 Voltage 、 Mathematical optimization 、 Search engine 、 Mathematics 、 Particle swarm optimization 、 AC power
摘要: Most of the real-world optimisation problems are subject to different types constraints and known as constrained problems. Reactive power dispatch (RPD) in electrical system is also a non-linear, multi-objective or single objective problem. In this study, hybrid multi-swarm particle swarm (HMPSO) algorithm has been proposed solve RPD HMPSO one recently population based search algorithm, which existing partitioned into several sub-swarms. Particle applied engine for each sub-swarm. addition, explore more promising regions space, differential evolution (DE) implemented improve personal best particle. The problem formulated with equality inequality minimisation losses improvement voltage profile simultaneously. To find Pareto optimal set problem, weighted sum method applied. Afterwards, finding preferred solution out Pareto-optimal set, fuzzy membership function used. Effectiveness verified on standard IEEE 30-bus practical 75-bus Indian systems.
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