An Efficient Chameleon Swarm Algorithm for Economic Load Dispatch Problem

Mokhtar Said, Ali M. El-Rifaie, Mohamed A. Tolba, Essam H. Houssein and Sanchari Deb
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Mokhtar Said: Electrical Engineering Department, Faculty of Engineering, Fayoum University, Fayoum 43518, Egypt
Ali M. El-Rifaie: College of Engineering and Technology, American University of the Middle East, Egaila 54200, Kuwait
Mohamed A. Tolba: Nuclear Research Center, Reactors Department, Egyptian Atomic Energy Authority, Cairo 11787, Egypt
Essam H. Houssein: Faculty of Computers and Information, Minia University, Minia 61519, Egypt
Sanchari Deb: VTT Technical Research Centre of Finland Ltd., 02044 Espoo, Finland

Mathematics, 2021, vol. 9, issue 21, 1-14

Abstract: Economic Load Dispatch (ELD) is a complicated and demanding problem for power engineers. ELD relates to the minimization of the economic cost of production, thereby allocating the produced power by each unit in the most possible economic manner. In recent years, emphasis has been laid on minimization of emissions, in addition to cost, resulting in the Combined Economic and Emission Dispatch (CEED) problem. The solutions of the ELD and CEED problems are mostly dominated by metaheuristics. The performance of the Chameleon Swarm Algorithm (CSA) for solving the ELD problem was tested in this work. CSA mimics the hunting and food searching mechanism of chameleons. This algorithm takes into account the dynamics of food hunting of the chameleon on trees, deserts, and near swamps. The performance of the aforementioned algorithm was compared with a number of advanced algorithms in solving the ELD and CEED problems, such as Sine Cosine Algorithm (SCA), Grey Wolf Optimization (GWO), and Earth Worm Algorithm (EWA). The simulated results established the efficacy of the proposed CSA algorithm. The power mismatch factor is the main item in ELD problems. The best value of this factor must tend to nearly zero. The CSA algorithm achieves the best power mismatch values of 3.16 × 10 ? 13 , 4.16 × 10 ? 12 and 1.28 × 10 ? 12 for demand loads of 700, 1000, and 1200 MW, respectively, of the ELD problem. The CSA algorithm achieves the best power mismatch values of 6.41 × 10 ? 13 , 8.92 × 10 ? 13 and 1.68 × 10 ? 12 for demand loads of 700, 1000, and 1200 MW, respectively, of the CEED problem. Thus, the CSA algorithm was found to be superior to the algorithms compared in this work.

Keywords: chameleon swarm algorithm; optimization; economic load dispatch; combined emission; economic dispatch (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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