Open AccessPower loss minimization by optimal capacitor placement in radial distribution system using modified cultural algorithm
Author(s) -
Haldar Vivekananda,
Chakraborty Niladri
Publication year - 2015
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.1820
Subject(s) - particle swarm optimization , power loss , reduction (mathematics) , mathematical optimization , genetic algorithm , heuristic , minification , electric power system , algorithm , computer science , cultural algorithm , power (physics) , population , fuzzy logic , mathematics , meta optimization , artificial intelligence , physics , quantum mechanics , geometry , demography , sociology
Summary A new evolutionary technique named modified cultural algorithm (MCA) has been implemented for the reduction of real power loss by optimal capacitor allocation. This evolutionary algorithm has provided promising results for 9‐bus, 34‐bus, and 69‐bus standard distribution systems dealing with the real power loss. It has been observed that situation and history knowledge influence the population space with the updating of belief space. Comparative study has been done to establish the effectiveness of MCA with other methods such as cultural algorithm, heuristic, fuzzy‐logic, and hybrid methods. The real power loss has been observed to be reduced from 783.8 to 677.54 kW and from 221.5 to 160.9 kW for 9‐bus and 34‐bus distribution systems, respectively. It is also shown that MCA has outperformed cultural algorithm as well as real‐coded genetic algorithm and particle swarm optimization for loss as well as cost reduction in 69‐bus distribution system. Copyright © 2013 John Wiley & Sons, Ltd.