Affiliation:
1. Department of Electrical Engineering, University of Tanjungpura, JL. Ahmad Yani Pontianak, West Kalimantan, Indonesia
Abstract
This paper presents a modified artificial bee colony (MABC) algorithm for
solving the optimal power flow (OPF) problem in power system. Artificial bee
colony algorithm is a recent population-based optimization method which has
been successfully used in many complex problems. A new mutation strategy
inspired from the differential evolution (DE) is introduced in order to
improve the exploitation process. The new algorithm is implemented to the
OPF problem so as to minimize the total generation cost when considering the
equality and inequality constraints. In order to validate of the proposed
algorithm, it is applied to the standard IEEE 30-bus test system. The
results show that the proposed technique provides better solutions than
other heuristic techniques reported in literature.
Publisher
National Library of Serbia
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献