Multiobjective Environmental and Economic Dispatch Using Imperialist Competitive Algorithm

In this research a multi-objective Imperialist Competitive Algorithm (MOICA) is applied for Environmental and Economic Power Dispatch (EED) problem. Due to the environmental concerns that arise from the emissions produced via fossil-fueled electric power plants, the classical economic dispatch, which operates electric power systems so as to minimize only the total fuel cost, can no longer be considered alone. Hence, by environmental dispatch, emissions can be reduced by dispatch of power generation to minimize emissions. Also, power generated, system loads, fuel cost and emission coefficients are subjected to inaccuracies and uncertainties in real-world situations. The proposed technique has been carried out on the IEEE 30-bus and 118-bus test system. The results demonstrate the capability of the proposed MOICA approach to solve of multi-objective EED problem. The comparison reported results with MODE and other techniques reveals the superiority of the proposed MOICA approach and confirms its potential for solving other power systems multi-objective optimization problems.