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

Content Provider	IET Digital Library
Author	Srivastava, Laxmi Singh, Himmat
Abstract	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 this study, hybrid multi-swarm particle swarm optimisation (HMPSO) algorithm has been proposed to solve the RPD problem. HMPSO is one of the recently proposed population based search algorithm, in which the existing swarm is partitioned into several sub-swarms. Particle swarm optimisation is applied as the search engine for each sub-swarm. In addition, to explore more promising regions of the search space, differential evolution (DE) algorithm is implemented to improve the personal best of each particle. The RPD problem is formulated as non-linear, constrained multi-objective optimisation problem with equality and inequality constraints for minimisation of power losses and improvement of voltage profile simultaneously. To find the Pareto optimal set for RPD problem, weighted sum method has been applied. Afterwards, for finding the preferred solution out of the Pareto-optimal set, fuzzy membership function has been used. Effectiveness of the HMPSO algorithm has been verified on the standard IEEE 30-bus and a practical 75-bus Indian systems.
Starting Page	727
Ending Page	739
Page Count	13
ISSN	17518687
Volume Number	9
e-ISSN	17518695
Issue Number	Issue 8, May (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/9/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2014.0469
Journal	IET Generation, Transmission & Distribution
Publisher Date	2015-05-21
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Constrained Optimisation Problem Differential Evolution Algorithm Evolutionary Computation Fuzzy Membership Function Fuzzy Set Theory HMPSO Algorithm Hybrid Multiswarm Particle Swarm Optimisation Load Dispatching Multiobjective Optimisation Problem Multiobjective Reactive Power Dispatch Optimisation Technique Pareto Optimal Set Pareto Optimisation Particle Swarm Optimisation Population Based Search Algorithm Power Loss Minimisation Power System Economics Power System Managemen Power System Operation RPD Search Engine Search Problem
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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