Environmental/Economic Power Dispatch Using Multi-Objective Honey Bee Mating Optimization

This paper presents a Multi-Objective Honey Bee Mating Optimization (MOHBMO) algorithm to solve the Economic Environmental Dispatch (EED) problem. The EED problem can be formulated as a nonlinear constrained multi-objective optimization problem. The three competing and non-commensurable fuel cost, pollutant emission and system loss objectives should be minimized simultaneously while fulfilling certain system constraints. For dealing with different solutions in multi-objective optimization problem, Pareto dominance concept is used to generate and sort the dominated and non-dominated solutions. The IEEE 6-generator 30-bus and IEEE 14-generator 118-bus test system are used to investigate the capabilities of the MOHBMO approach in finding optimal solution. The effectiveness of the proposed approach is demonstrated by comparing its performance with other evolutionary multi-objective optimization algorithms such as NSGA, NPGA, SPEA, MOPSO and MODE. The comparison with reported results of other multi-objective optimization algorithms reveals the superiority of the proposed MOHBMO algorithm and confirms its great potential in handling the multi-objective problems in power systems. Copyright (C) 2012 Praise Worthy Prize S.r.l. - All rights reserved.