Abstract

In this paper, the Slime Mould optimization Algorithm (SMOA) is proposed to find a cost effective solution to the Combined Economic and Emission Dispatch (CEED) problem. CEED is a multi-objective optimization problem where the main focus is on reducing power generation cost as well as the emission produced by the power generation while satisfying the regulatory constraints. With the term Price Penalty Factor (PPF), the multi-objective CEED is transformed into single-objective optimization problem. Then the SMOA is implemented on four benchmark test systems with complications such as valve-point loading effect and transmission losses. The test results were compared with other renowned optimization methods that were used in previous researches. The comparisons have shown superiority of SMOA over the other methods in terms of cost and emission reduction.

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