Hybrid multi-swarm particle swarm optimisation based multi-objective reactive power dispatch

Most of the real-world optimisation problems are subject to different types of constraints and are known as constrained optimisation problems. Reactive power dispatch (RPD) in electrical power system is also a non-linear, multi-objective or a single objective constrained optimisation problem. In thi...

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Veröffentlicht in:	IET generation, transmission & distribution Jg. 9; H. 8; S. 727 - 739
Hauptverfasser:	Srivastava, Laxmi, Singh, Himmat
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	The Institution of Engineering and Technology 21.05.2015
Schlagworte:	Algorithms constrained optimisation problems Constraints differential evolution algorithm evolutionary computation Fuzzy fuzzy membership function fuzzy set theory HMPSO algorithm hybrid multiswarm particle swarm optimisation load dispatching multiobjective optimisation problem multiobjective reactive power dispatch Nonlinearity Optimization Pareto optimal set Pareto optimisation particle swarm optimisation population based search algorithm power losses minimisation Reactive power RPD search engine Search engines search problems Searching Pareto optimisation multiobjective optimisation problem particle swarm optimisation search engine power losses minimisation fuzzy set theory hybrid multiswarm particle swarm optimisation RPD fuzzy membership function load dispatching evolutionary computation population based search algorithm differential evolution algorithm multiobjective reactive power dispatch constrained optimisation problems Pareto optimal set search problems HMPSO algorithm
ISSN:	1751-8687, 1751-8695
Online-Zugang:	Volltext
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