Open AccessREAL POWER LOSS REDUCTION ENHANCED ARTIFICIAL BEE COLONY ALGORITHM
Author(s) -
K. Lenin
Publication year - 2018
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v6.i3.2018.1515
Subject(s) - crossover , artificial bee colony algorithm , genetic algorithm , power loss , reduction (mathematics) , computer science , mathematical optimization , algorithm , power (physics) , artificial intelligence , mathematics , physics , geometry , quantum mechanics
In this paper, Enhanced Artificial Bee Colony (EABC) algorithm is proposed for solving optimal reactive power problem. The projected method assimilates crossover operation from Genetic Algorithm (GA) with artificial bee colony (ABC) algorithm. The EABC strengthens the exploitation phase of ABC as crossover enhances exploration of search space. Projected EABC algorithm has been tested on has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly about the premium performance of the proposed algorithm in reducing the real power loss.