NSMOOGSA for solving combined economic and emission dispatch problem

Abstract

Combined economic and emission dispatch (CEED) is a key challenge for the system operator in the open access regime and is used to operate generators that produce energy in a power plant with least costs as well as least emission simultaneously. Stability issues must, therefore, be considered during CEED. This paper presents a multi-objective formulation of CEED in a power system, with the competing objective functions of minimizing fuel cost and emission. Non-dominated Sorting Multi Objective Opposition based Gravitational Search Algorithm (NSMOOGSA) is used as an optimization tool. Fuzzy decision maker is used to extract the best compromise non-dominated solution. The proposed method has been tested on the IEEE 30-bus system and results are compared with those of the other reported in the recent literature. The quality of the results establishes the efficacy of the proposed approach in solving different CEED problem.