MOABC ALGORITHM FOR ECONOMIC/ENVIRONMENTAL LOAD DISPATCH SOLUTION

This paper presents a Multi-objective Artificial BEE Colony (MOABC) algorithm for the solution of Economic/Environmental load Dispatch (EED) problem. The EED problem is a nonlinear constrained multiobjective optimization problem. Because, the three competing and non-commensurable fuel cost, system loss and pollutant emission objectives should be minimized simultaneously while satisfying certain system constraints. To cope with different solutions, Pareto dominance concept is used to generate and sort the dominated and non-dominated solutions in multiobjective optimization process. The effectiveness of the proposed method has been verified on IEEE 6-generator 30-bus test system. The numerical results demonstrate the great potential of the proposed MOABC approach to generate well distributed Pareto optimal non-dominated solutions of multi-objective EED problem. The comparison with the recently reported results using NSGA, NPGA, SPEA, MOPSO and MODE methods reveals the superiority of the proposed MOABC approach and confirms its capability for the solution of multiobjective EED problem in the real world power systems.