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A Comprehensive Optimization Framework for Techno-Economic Demand Side Management in Integrated Energy Systems

Author

Listed:
  • Moataz Ayman Shaker

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Ibrahim Mohamed Diaaeldin

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Mahmoud A. Attia

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Amr Khaled Khamees

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Othman A. M. Omar

    (Engineering Physics and Mathematics Department, Ain Shams University, Cairo 11517, Egypt)

  • Mohammed Alruwaili

    (Department of Electrical Engineering, College of Engineering, Northern Border University, Arar 91431, Saudi Arabia)

  • Ali Elrashidi

    (Electrical Engineering Department, University of Business and Technology, Jeddah 23435, Saudi Arabia)

  • Nabil M. Hamed

    (Electrical Power and Machines Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

Abstract

This paper proposes a comprehensive mathematical optimization framework for techno-economic demand side management (DSM) in hybrid energy systems (HESs), with a focus on standalone configurations. The framework incorporates load growth projections and the probabilistic uncertainties of renewable energy sources to enhance planning robustness. To identify high-quality near-optimal solutions, several advanced metaheuristic algorithms were employed, including the Exponential Distribution Optimizer (EDO), Teaching-Learning-Based Optimization (TLBO), Circle Search Algorithm (CSA), and Wild Horse Optimizer (WHO). The results highlight substantial economic and environmental improvements, with battery integration yielding a 69.7% reduction in total system cost and an 84.3% decrease in emissions. Additionally, this study evaluated the influence of future load growth on fuel expenditure, offering realistic insights into the techno-economic viability of HES deployment.

Suggested Citation

  • Moataz Ayman Shaker & Ibrahim Mohamed Diaaeldin & Mahmoud A. Attia & Amr Khaled Khamees & Othman A. M. Omar & Mohammed Alruwaili & Ali Elrashidi & Nabil M. Hamed, 2025. "A Comprehensive Optimization Framework for Techno-Economic Demand Side Management in Integrated Energy Systems," Energies, MDPI, vol. 18(16), pages 1-31, August.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:16:p:4280-:d:1722358
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    References listed on IDEAS

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