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Environmental/Economic Dispatch Problem: Coulomb’s and Franklin’s Laws Based Optimization Algorithm


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DOI: https://doi.org/10.15866/iree.v15i5.18568

Abstract


Conventionally, electric power plants mitigate the total fuel cost irrespective to the emissions generated. The need to safeguard the ecology resulted in many alternative tactics. This paper endeavours to solve the combined environmental and economic dispatch problem using a newly developed heuristic optimization technique called Coulomb’s and Franklin’s Laws Based Optimization algorithm. The envisaged algorithm is devised from the Coulomb’s and Franklin’s theories which comprise attraction/repulsion, probabilistic ionization and contact phases. A fuzzy approach is used to decide the best concessive solution from the Pareto-optimal set. In order to access the practicability and the effectiveness of the envisaged algorithm, it has been applied for 6, 10 and 40 units’ power systems, and compared with other state-of-the-art approaches in the literature. Results divulge the supremacy of the envisaged algorithm and authenticate its prospective to solve the environmental/economic dispatch problem.
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Keywords


Combined Economic Emission Dispatch; Fuzzy Concessive Solution; Heuristic Technique; Valve Point Loading

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