Abstract
The economic power dispatch (EPD) problem aims to find the optimal operational settings of power generating units with minimizing the entire production costs of generation and all system constraints are kept into their acceptable limitations. Meanwhile, achieving this economical operation based on the reduction of the fuel cost and fossil fuel fired power plant emission should be as little as possible. Another nonlinear framework, with contradictory objectives, called combined economical emission power dispatch (CEEPD) is considered as the target framework in this study. The CEEPD framework is subjected to a set of operational equality and inequality constraints. In terms of the solution methodology, this paper is focused at developing a novel optimization algorithm called Chaotic Krill Herd Algorithm (CKHA) as an efficient tool for solving non-convex EPD and CEEPD frameworks. The proposed CKHA is tested on several IEEE test systems for refining its convergence and therefore aggregating the overall solution method. The numerical results clearly show the dominance of CKHA in finding the competitive best fitness functions compared with the advanced methods those published in the literature.
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