Open AccessREDUCTION OF ACTIVE POWER LOSS BY IMPROVED FROG LEAPING ALGORITHM
Author(s) -
K. Lenin
Publication year - 2017
Publication title -
international journal of research - granthaalayah
Language(s) - English
Resource type - Journals
eISSN - 2394-3629
pISSN - 2350-0530
DOI - 10.29121/granthaalayah.v5.i9.2017.2197
Subject(s) - particle swarm optimization , convergence (economics) , computer science , reduction (mathematics) , algorithm , ac power , power (physics) , power loss , swarm behaviour , premature convergence , mathematical optimization , mathematics , artificial intelligence , physics , geometry , quantum mechanics , economics , economic growth
This paper presents Improved Frog Leaping (IFL) algorithm for solving optimal reactive power problem. Comprehensive exploration capability of Particle Swarm Optimization (PSO) and good local search ability of Frog Leaping Algorithm (FLA) has been hybridized to solve the reactive power problem and it overcomes the shortcomings of premature convergence. In order to evaluate the validity of the proposed Improved Frog Leaping (IFL) algorithm, it has been tested in Standard IEEE 57,118 bus systems and compared to other standard algorithms. Simulation results show that proposed Improved Frog Leaping (IFL) algorithm has reduced the real power loss considerably and voltage profiles are within the limits.