Artificial bee colony algorithm for solving multi-objective optimal power flow problem

Abstract

This paper presents a new and efficient method for solving optimal power flow 
(OPF) problem in electric power systems. In the proposed approach, artificial 
bee colony (ABC) algorithm is employed as the main optimizer for optimal 
adjustments of the power system control variables of the OPF problem. The 
control variables involve both continuous and discrete variables. Different objective 
functions such as convex and non-convex fuel costs, total active power loss, 
voltage profile improvement, voltage stability enhancement and total emission 
cost are chosen for this highly constrained nonlinear non-convex optimization 
problem. The validity and effectiveness of the proposed method is tested with 
the IEEE 9-bus system, IEEE 30-bus system and IEEE 57-bus system, and the 
test results are compared with the results found by other heuristic methods reported 
in the literature recently. The simulation results obtained show that the proposed ABC 
algorithm provides accurate solutions for any type of the objective functions. (C) 2013 
Elsevier Ltd. All rights reserved.