Open AccessACTIVE POWER LOSS REDUCTION BY AMPLIFIED ANT 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.i7.2018.1291
Subject(s) - ant colony optimization algorithms , ant colony , reduction (mathematics) , genetic algorithm , algorithm , mutation , computer science , ant , power loss , power (physics) , ac power , voltage , mathematical optimization , mathematics , engineering , biology , gene , genetics , physics , geometry , quantum mechanics , electrical engineering , computer network
In this paper, Amplified Ant Colony (AAC) algorithm has been proposed for solving optimal reactive power problem. Mutation of Genetic algorithm (GA) is used in Ant Colony Algorithm (ACA) and the output of the GA is given as an input to the ACA. The proposed Amplified Ant Colony (AAC) algorithm has been tested on standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the superior performance of the proposed Amplified Ant Colony (AAC) algorithm in reducing the real power loss & voltage profiles are within the limits.