Solving a combined economic emission dispatch problem using adaptive wind driven optimization

Abstract

In this paper, the adaptive wind driven optimization (AWDO) algorithm is applied for solving the combinedeconomic emission dispatch (CEED) problem. AWDO is one of the newest hybrid algorithms, which optimizes theselection of coefficients at each iteration, eliminating the need for tuning the coefficients. The evaluation of AWDOperformances is carried out on the standard IEEE 30-bus test system with 6 generating units and with various cost curvenatures. The results of AWDO use with the test system are compared against the results of use of 3 algorithms: the mothswarm algorithm, firefly algorithm, and hybrid particle swarm optimization and gravitational search algorithm, whichwere proposed in recent literature for solving this problem. The present paper shows that AWDO gives an accurate andeffective solution of the CEED problem and outperforms the other tested algorithms.