Open AccessREDUCTION OF REAL POWER LOSS BY IMPROVED QUANTUM 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.i6.2017.2095
Subject(s) - particle swarm optimization , algorithm , reduction (mathematics) , genetic algorithm , computer science , multi swarm optimization , binary number , evolutionary algorithm , mathematical optimization , search algorithm , power (physics) , quantum , bit (key) , space (punctuation) , enumeration , mathematics , arithmetic , physics , geometry , computer security , quantum mechanics , combinatorics , operating system
In this paper, combination of the Q-bit evolutionary search - quantum particle swarm optimization (QPSO) algorithm and binary bit evolutionary search - genetic particle swarm optimization (GPSO) has been done to solve the reactive power problem & termed as Improved Quantum Algorithm (IQA). Proposed IQA can be viewed as a kind of hybridization of micro-space based search and macro-space based search, which augments the penetrating behavior to augment and balance the exploration and exploitation aptitudes in the whole searching space. In order to evaluate the performance of the proposed IQA algorithm, it has been tested on IEEE 57,118 bus systems and compared to other standard algorithms.