Multi-Objective Economic Emission Dispatch Solution Using Hybrid Monkey Algorithm

The main contribution of this paper is the application of the technique of hybridization between two meta-heuristics methods, PSO and MA, for solving the problem of economic and environmental dispatching, which is a multi-objective problem. The two contradictory objectives: fuel costs and emissions must be minimized at the same time while satisfying certain constraints of the system. In a multi objective optimization problem, to obtain good solutions, the concept of Pareto dominance is used to generate and sort dominated and non-dominated solutions. Several optimization runs of the proposed approach have been carried out on the IEEE 30 bus and a system with 6 generators. The strength of the proposed approach is tested and validated by solving several cases as: the fuel cost minimization, emission minimization, emission and cost minimization simultaneously