Title :
A Solution to Multi-Objective Optimal Power Flow Using Hybrid Cultural-Based Bees Algorithm
Author :
Sumpavakup, C. ; Srikun, I. ; Chusanapiputt, S.
Author_Institution :
Dept. of Electr. Eng., Mahanakorn Univ. of Technol., Bangkok, Thailand
Abstract :
This paper presents a hybrid Cultural-based Bees Colony Algorithm for solving a multi-objective Optimal Power Flow (OPF). The multi-objective OPF was formulated for tackling with total generation cost and environmental impacts simultaneously. The proposed method was applied to the standard IEEE 30-bus test system. The results show that solving the multi-objective OPF problem by the Cultural-based Bee Colony are more effective than other swarm intelligence methods in the literature.
Keywords :
IEEE standards; load flow; optimisation; IEEE 30-bus test system; environmental impacts; hybrid cultural-based bee colony algorithm; multiobjective OPF; multiobjective optimal power flow; swarm intelligence methods; total generation cost; Cultural differences; Generators; Load flow; Minimization; Optimization; Simulation;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307536
