Optimal placement of capacitors in radial distribution system using a Fuzzy-GA method

The paper presents a genetic algorithm (GA) based fuzzy multi-objective approach for determining the optimum values of fixed and switched shunt capacitors to improve the voltage profile and maximize the net savings in a radial distribution system. The two objectives, i.e. maximization of net savings...

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Bibliographic Details
Published in:International journal of electrical power & energy systems 2008-07, Vol.30 (6), p.361-367
Main Author: Das, D.
Format: Article
Language:English
Subjects:
Applied sciences
Capacitor placement
Capacitors. Resistors. Filters
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Fuzzy set theory
Genetic algorithm
Miscellaneous
Power networks and lines
Radial feeders
Various equipment and components
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Summary:The paper presents a genetic algorithm (GA) based fuzzy multi-objective approach for determining the optimum values of fixed and switched shunt capacitors to improve the voltage profile and maximize the net savings in a radial distribution system. The two objectives, i.e. maximization of net savings and minimization of the nodes voltage deviation are first fuzzified and, then, dealt with by integrating them into a fuzzy satisfaction objective function through appropriate weighting factors. The optimization technique of the GA is then adopted to solve the fuzzy multi-objective problem for obtaining the optimum values of shunt capacitors. The effectiveness of the proposed technique is demonstrated through an example.
ISSN:0142-0615
1879-3517
DOI:10.1016/j.ijepes.2007.08.004