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

Author

Listed:
  • 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
    Department of Computers and Systems Engineering, High Institute of Electronic Engineering, Ministry of Higher Education, Bilbis-Sharqiya 44621, Egypt)

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.

Suggested Citation

  • Benyekhlef Larouci & Ahmed Nour El Islam Ayad & Hisham Alharbi & Turki E. A. Alharbi & Houari Boudjella & Abdelkader Si Tayeb & Sherif S. M. Ghoneim & Saad A. Mohamed Abdelwahab, 2022. "Investigation on New Metaheuristic Algorithms for Solving Dynamic Combined Economic Environmental Dispatch Problems," Sustainability, MDPI, vol. 14(9), pages 1-27, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5554-:d:808967
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    References listed on IDEAS

    as
    1. Liu, Zhi-Feng & Li, Ling-Ling & Liu, Yu-Wei & Liu, Jia-Qi & Li, Heng-Yi & Shen, Qiang, 2021. "Dynamic economic emission dispatch considering renewable energy generation: A novel multi-objective optimization approach," Energy, Elsevier, vol. 235(C).
    2. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2021. "A New Chaotic Artificial Bee Colony for the Risk-Constrained Economic Emission Dispatch Problem Incorporating Wind Power," Energies, MDPI, vol. 14(13), pages 1-24, July.
    3. Motaeb Eid Alshammari & Makbul A. M. Ramli & Ibrahim M. Mehedi, 2020. "An Elitist Multi-Objective Particle Swarm Optimization Algorithm for Sustainable Dynamic Economic Emission Dispatch Integrating Wind Farms," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    4. Ho-Sung Ryu & Mun-Kyeom Kim, 2020. "Combined Economic Emission Dispatch with Environment-Based Demand Response Using WU-ABC Algorithm," Energies, MDPI, vol. 13(23), pages 1-20, December.
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    Cited by:

    1. Abdul Ghani Olabi & Nabila Shehata & Hussein M. Maghrabie & Lobna A. Heikal & Mohammad Ali Abdelkareem & Shek Mohammod Atiqure Rahman & Sheikh Khaleduzzaman Shah & Enas Taha Sayed, 2022. "Progress in Solar Thermal Systems and Their Role in Achieving the Sustainable Development Goals," Energies, MDPI, vol. 15(24), pages 1-31, December.
    2. Mehmood, Ammara & Raja, Muhammad Asif Zahoor & Jalili, Mahdi, 2023. "Optimization of integrated load dispatch in multi-fueled renewable rich power systems using fractal firefly algorithm," Energy, Elsevier, vol. 278(PA).

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