Hybrid fuzzy particle swarm optimization approach for reactive power optimization

Bhattacharyya, B., Goswami, S.K. and Bansal, R. C. (2009) Hybrid fuzzy particle swarm optimization approach for reactive power optimization. Journal of Electrical Systems, 5 3: 1-15.

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Author Bhattacharyya, B.
Goswami, S.K.
Bansal, R. C.
Title Hybrid fuzzy particle swarm optimization approach for reactive power optimization
Journal name Journal of Electrical Systems   Check publisher's open access policy
ISSN 1112-5209
Publication date 2009-09
Sub-type Article (original research)
Open Access Status File (Publisher version)
Volume 5
Issue 3
Start page 1
End page 15
Total pages 15
Place of publication Paris, France
Publisher Engineering and Scientific Research Groups
Language eng
Subject 0906 Electrical and Electronic Engineering
Abstract This paper presents a new approach to the optimal reactive power planning based on fuzzy logic and particle swarm optimization (PSO). The objectives are to minimize real power loss and to improve the voltage profile of a given interconnected power system. Transmission loss is expressed in terms of voltage increments by relating the control variables i.e. reactive var generations by the generators, tap positions of transformers and reactive power injections by the shunt capacitors. The objective function and the constraints are modeled by fuzzy sets. A term ‘sensitivity’ at each bus is defined which depends on variation of real power loss with respect to the voltage at that bus. Based on the Fuzzy membership values of the sensitivity, corrective action at a particular bus is taken i.e. shunt capacitors are installed at the candidate buses based on real power loss and sets of solution. Then, PSO is applied to get final solution. PSO is used for optimal setting of transformer tap positions and reactive generations of generators. The solutions obtained by this method is compared with the solutions obtained by other evolutionary algorithms like genetic algorithm (GA), differential evolution (DE) and particle swarm optimization (PSO).
Keyword Fuzzy membership
sensitivity
reactive power optimization
particle swarm optimization
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: ERA 2012 Admin Only
School of Information Technology and Electrical Engineering Publications
 
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Created: Mon, 20 Sep 2010, 18:11:19 EST by Maria Campbell on behalf of The University of Queensland Library