Investigation on New Metaheuristic Algorithms for Solving Dynamic Combined Economic Environmental Dispatch Problems

Benyekhlef Larouci, Ahmed Nour El Islam Ayad, Hisham Alharbi, Turki E. A. Alharbi, Houari Boudjella, Abdelkader Si Tayeb, Sherif S. M. Ghoneim and Saad A. Mohamed Abdelwahab
Additional contact information
Benyekhlef Larouci: Department of Electrical Engineering, Kasdi Merbah University, Ghardaia Road, P.O. Box 511, Ouargla 30000, Algeria
Ahmed Nour El Islam Ayad: Department of Electrical Engineering, Kasdi Merbah University, Ghardaia Road, P.O. Box 511, Ouargla 30000, Algeria
Hisham Alharbi: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Turki E. A. Alharbi: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Houari Boudjella: Department of Electrical Engineering, Kasdi Merbah University, Ghardaia Road, P.O. Box 511, Ouargla 30000, Algeria
Abdelkader Si Tayeb: Applied Research Unit for Renewable Energies “URAER Ghardaia”, Renewable Energy Development Center (CDER), Ghardaïa 47133, Algeria
Sherif S. M. Ghoneim: Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Saad A. Mohamed Abdelwahab: Electrical Department, Faculty of Technology and Education, Suez University, Suez 43533, Egypt

Sustainability, 2022, vol. 14, issue 9, 1-27

Abstract: In this paper, the dynamic combined economic environmental dispatch problems (DCEED) with variable real transmission losses are tackled using four metaheuristics techniques. Due to the consideration of the valve-point loading effects (VPE), DCEED have become a non-smooth and more complex optimization problem. The seagull optimization algorithm (SOA), crow search algorithm (CSA), tunicate swarm algorithm (TSA), and firefly algorithm (FFA), as both nature and biologic phenomena-based algorithms, are investigated to solve DCEED problems. Our proposed algorithms, SOA, TSA, and FFA, were evaluated and applied on the IEEE five-unit test system, and the effectiveness of the proposed CSA approach was applied on two-unit, five-unit, and ten-unit systems by considering VPE. We defined CSA for different objective functions, such as cost of production, emission, and CEED, by considering VPE. The obtained results reveal the efficiency and robustness of the CSA compared to SOA, TSA, FFA, and to other optimization algorithms reported recently in the literature. In addition, Matlab simulation results show the advantages of the proposed approaches for solving DCEED problems.

Keywords: dynamic economic environmental dispatch; cow search algorithm; seagull optimization algorithm; tunicate swarm algorithm; firefly algorithm; optimal scheduling; optimization methods (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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