Open AccessTRUE POWER LOSS REDUCTION BY WOLF OPTIMIZATION 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.i11.2018.1134
Subject(s) - particle swarm optimization , reduction (mathematics) , optimization algorithm , mathematical optimization , stability (learning theory) , power (physics) , multi swarm optimization , computer science , optimization problem , algorithm , electric power system , power loss , ac power , voltage , mathematics , engineering , electrical engineering , physics , geometry , quantum mechanics , machine learning
In this paper wolf optimization algorithm (WOA) has been applied for solving reactive power problem. In order to enhance the search procedure the basic qualities of particle swarm optimization has been intermingled to improve the capability of the search to reach a global solution. Efficiency of the projected wolf optimization algorithm (WOA) is tested in standard IEEE 30 bus test system. Simulation study indicates wolf optimization algorithm (WOA) performs well in tumbling the actual power losses& particularly voltage stability has been enriched.