A NEW MULTIOBJECTIVE META HEURISTIC ALGORITHM BASED ON ENVIRONMENTAL/ECONOMIC LOAD DISPATCH WITH WIND EFFECT

Actually the environmental concerns arise from the emissions produced by fossil fueled electric power plants, the classical economic dispatch, which operates electric power systems to minimize the total fuel cost which can no longer be considered alone. Thus, by environmental dispatch, emissions can be reduced through dispatch of power generation. The proposed Environmental Economic Load Dispatch (EED) is formulated mathematically as a nonlinear constrained multiobjective problem with competing and noncommensurable objectives of fuel cost, emission and system loss. So, a multi-objective meta-heuristic of Improved Harmony Search Algorithm (IHSA) is applied in this paper to solve the EED problem through the advantages of fuzzy mechanism. In addition, renewable sources and wind energy in particular have recently been getting more interest because of various environmental and economic considerations. Accordingly, wind power is included in the problem formulation to find the effects in power system. The proposed technique has been applied over the IEEE 30 and 118-bus test power system. The achieved results demonstrate the validity of proposed technique.