Multiobjective Bees Algorithm for Optimal Power Flow Problem

Abstract

This paper presents a multiobjective bees algorithm (MOBA) for solving the multiobjective optimal power flow. The multiobjective optimal power flow is to simultaneously minimize total fuel cost and environmental pollution of generation with considering various constraints i.e. limits on generator real and reactive power outputs, bus voltages, transformer tap-setting and power flow of transmission lines. The proposed multiobjective bees algorithm is developed by using principle of multiobjective optimization. A clustering algorithm is applied for multiobjective bees algorithm in order to manage the size of the Pareto-optimal set. The proposed approach has been tested on the standard IEEE 30-bus system. The multiobjective bees algorithm produces true and well-distributed Pareto-optimal fronts in a single run. The results show that multiobjective bees algorithm has effectiveness and potential for solving multiobjective optimal power flow problem.