Citation

Prasad, K. and Sahoo, N.C. and Ranjan, R. and Chaturvedi, A. (2006) A new computational approach for optimal reconfiguration of radial distribution systems using a fuzzy controlled genetic algorithm. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 25 (4). pp. 862-882. ISSN 0332-1649

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Abstract

Purpose - This research paper reports a novel genetic algorithm (GA)-based approach for reconfiguration of radial distribution networks for real loss minimization and power quality improvement. Design/methodology/approach - A fuzzy controlled GA has been used for efficient reconfiguration of radial distribution systems for loss minimization and power quality improvement. The special features of the proposed algorithm are: an improved chromosome coding/decoding for network representation so as to preserve the radial property without islanding any load after reconfiguration and an efficient convergence characteristics attributed to fuzzy controlled mutation. Findings - The proposed network reconfiguration algorithm is very much effective in arriving at the global optimal solution (minimum loss network structure) because of efficient search of the solution space. Also, no invalid chromosomes are generated in the genetic evolution because of appropriate coding/decoding. The algorithm is found to be very much suitable for real time implementations. Research limitations/implications - This research paper provides the power distribution engineers with a computationally efficient approach for optimal operation of distribution systems. Practical implications - The algorithm proposed in this paper is computationally much faster compared to most of the present day mathematical programming approaches for distribution system operation. This makes it very much attractive for online implementations in any radial distribution network. Originality/value - This paper has proposed a novel chromosome coding/decoding technique for radial distribution system and a fuzzy logic-based mutation probability controller for efficient search of global solution space to be used in GA-based optimal operation of radial distribution systems.

Item Type:	Article
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	10 Aug 2011 07:18
Last Modified:	10 Aug 2011 07:18
URII:	http://shdl.mmu.edu.my/id/eprint/2071

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