Strength pareto evolutionary algorithm 2 for Environmental/Economic Power Dispatch

This study proposes the Strength Pareto Evolutionary Algorithm (SPEA2) for Environmental/Economic Power Dispatch (EEPD) problem. In the past fuel cost consumption minimization was the single objective function of economic power dispatch problem. Since the clean air act amendments have been applied to reduce polluting gases emissions from power plants, the utilities change their strategies in order to reduce pollution and atmospheric emission as well, adding emission minimization as other objective function made economic power dispatch (EPD) a multi-objective problem having conflicting objectives. SPEA2 is the improved version of SPEA with a set of special operators that allow performing a very effective search of optimal solutions. The results show the ability of the proposed method to generate well distributed Pareto optimal solutions to the EEPD problem. The comparative tests performed on IEEE 30 bus test system have demonstrated the accuracy and the effectiveness of SPEA2.