New optimization algorithm inspired by fluid mechanics for combined economic and emission dispatch problem

Authors: RUYI DONG, SHENGSHENG WANG

Abstract: With the increasing concern over environmental protection, the combined economic emission dispatch (CEED) problem has received much attention. It needs to minimize both fuel cost and emission pollution. This study aims to propose a new metaheuristic algorithm inspired by fluid mechanics to solve the CEED problem with the weighted sum method. The new algorithm simulates the inverse process of fluid flowing spontaneously from high pressure to low pressure, similar to the optimization process of the CEED problem. When applied in two real-world cases, the new algorithm achieves better performance compared with other algorithms in the literature.

Keywords: Combined economic emission dispatch, fluid search optimization, metaheuristic algorithm, swarm intelligence, weighted sum method

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