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Review of Metaheuristic Optimization Algorithms for Power Systems Problems

Author

Listed:
  • Ahmed M. Nassef

    (Department of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam Bin Abdulaziz University, Wadi Alddawasir 11991, Saudi Arabia
    Computers and Automatic Control Engineering Department, Faculty of Engineering, Tanta University, Tanta 31733, Egypt)

  • Mohammad Ali Abdelkareem

    (Department of Sustainable and Renewable Energy Engineering, University of Sharjah, Sharjah P.O. Box 27272, United Arab Emirates)

  • Hussein M. Maghrabie

    (Faculty of Engineering, South Valley University, Qena 83523, Egypt)

  • Ahmad Baroutaji

    (School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, UK)

Abstract

Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly when information is sparse or inaccurate or computer capability is restricted. Power systems play a crucial role in promoting environmental sustainability by reducing greenhouse gas emissions and supporting renewable energy sources. Using metaheuristics to optimize the performance of modern power systems is an attractive topic. This research paper investigates the applicability of several metaheuristic optimization algorithms to power system challenges. Firstly, this paper reviews the fundamental concepts of metaheuristic optimization algorithms. Then, six problems regarding the power systems are presented and discussed. These problems are optimizing the power flow in transmission and distribution networks, optimizing the reactive power dispatching, optimizing the combined economic and emission dispatching, optimal Volt/Var controlling in the distribution power systems, and optimizing the size and placement of DGs. A list of several used metaheuristic optimization algorithms is presented and discussed. The relevant results approved the ability of the metaheuristic optimization algorithm to solve the power system problems effectively. This, in particular, explains their wide deployment in this field.

Suggested Citation

  • Ahmed M. Nassef & Mohammad Ali Abdelkareem & Hussein M. Maghrabie & Ahmad Baroutaji, 2023. "Review of Metaheuristic Optimization Algorithms for Power Systems Problems," Sustainability, MDPI, vol. 15(12), pages 1-27, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9434-:d:1169178
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    References listed on IDEAS

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    Cited by:

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    3. Muhammad Usman Riaz & Suheel Abdullah Malik & Amil Daraz & Hasan Alrajhi & Ahmed N. M. Alahmadi & Abdul Rahman Afzal, 2024. "Advanced Energy Management in a Sustainable Integrated Hybrid Power Network Using a Computational Intelligence Control Strategy," Energies, MDPI, vol. 17(20), pages 1-53, October.
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    5. Zhe Wang & Jiali Duan & Fengzhang Luo & Xuan Wu, 2024. "Two-Stage Optimal Scheduling for Urban Snow-Shaped Distribution Network Based on Coordination of Source-Network-Load-Storage," Energies, MDPI, vol. 17(14), pages 1-22, July.

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