An enhanced moth-flame optimizer for non-smooth economic dispatch problems with emission

What is it about?

an Enhanced Moth-Flame Optimization (EMFO) algorithm for solving the non-convex economic dispatch (ED) problem with valve point effects and emissions. It determines the optimal generation schedule of generating units by minimizing both fuel cost and emission simultaneously while the system constraints are achieved

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Why is it important?

This paper is concerned with developing an enhanced version of MFO that is dependent on Lévy-flight technique. The exploration and exploitation processes is improved by using the proposed enhanced MFO. In the economical regard, the EMFO algorithm is applied to non-smooth cost function ED framework. The proposed EMFO enhances the solution quality by enhancing exploration and exploitation processes Developing single and multi-objective frameworks of moth-flame optimizer for solving of ED problem with considering valve-point concerns with equality and inequality operational constraints. Prove the efficiency of the proposed an enhanced MFO with Lévy-flight compared with several well-known techniques in benchmark functions, small and large-scale practical power systems.

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