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Economic, Environmental, and Technical Optimal Energy Scheduling of Smart Hybrid Energy System Considering Demand Response Participation

Author

Listed:
  • M. Mohammedi

    (Dhofar University)

  • Majid Naseri

    (University of Vienna)

  • Kamilia Mehrabi Jorshary

    (Ohio University)

  • Navid Golchin

    (University of Nevada, Las Vegas)

  • Shokhjakhon Akhmedov

    (Urgench State University)

  • Valisher Sapayev Odilbek Uglu

    (Mamun University)

Abstract

This research presents the energy management in an energy system, emphasizing it as a challenge centered on three main objective functions. The primary objective is to greatly lower emissions while reducing the operational costs of energy production. This initiative seeks to improve the overall user experience by applying strategies that not only fulfill but also surpass customer expectations. The third objective is to align real electricity consumption with its ideal levels for the next day, aiming to create more consistent demand patterns through a demand flexibility approach. This method emphasizes the efficient management of electrical demand by utilizing deferrable loads, which can be adjusted based on availability and needs. This method is crucial for recognizing non-dominated Pareto solutions among different objectives, facilitating a thorough assessment of trade-off solutions. The proposed methodology’s effectiveness and reliability are demonstrated via two case studies, highlighting its practical use and the potential advantages it provides in real-world situations.

Suggested Citation

  • M. Mohammedi & Majid Naseri & Kamilia Mehrabi Jorshary & Navid Golchin & Shokhjakhon Akhmedov & Valisher Sapayev Odilbek Uglu, 2025. "Economic, Environmental, and Technical Optimal Energy Scheduling of Smart Hybrid Energy System Considering Demand Response Participation," SN Operations Research Forum, Springer, vol. 6(2), pages 1-21, June.
    • Handle: RePEc:spr:snopef:v:6:y:2025:i:2:d:10.1007_s43069-025-00480-7
    DOI: 10.1007/s43069-025-00480-7
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    References listed on IDEAS

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    1. T. X. Du & Kamilia Mehrabi Jorshary & Mirali Seyedrezaei & Valisher Sapayev Odilbek Uglu, 2025. "Optimal Energy Scheduling of Load Demand with Two-Level Multi-objective Functions in Smart Electrical Grid," SN Operations Research Forum, Springer, vol. 6(2), pages 1-23, June.
    2. Wanying Wang & Luyan Li & Victor Shi & Shervin Espahbod, 2024. "Carbon Emission Accounting and Reduction for Buildings Based on a Life Cycle Assessment: A Case Study in China’s Hot-Summer and Warm-Winter Region," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    3. Siamak Panahi & Farnaz Cheraghifar & Shima Talebian, 2018. "An Investigation on Painting and Imagery in Zen," Modern Applied Science, Canadian Center of Science and Education, vol. 12(9), pages 200-200, September.
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    Cited by:

    1. J. C. M. Mamani & Mahdi Miri & Yurii Vorobev & Rustem Shichiyakh & Samariddin Makhmudov & Umarbek Rustambekovich Jabbarov & Muzaffar Shojonov, 2025. "Optimal Operation of Energy Microgrid Considering Economic and Emission Indices," SN Operations Research Forum, Springer, vol. 6(3), pages 1-24, September.
    2. R. Pradhan & Emil Hajiyev & Rustem Shichiyakh & Vladimir Kurikov & Yuldoshev Jushkinbek Erkaboy Ugli & Temur Eshchanov & Egambergan Khudaynazarov & Zokir Mamadiyarov & Bobur Mirzayev, 2025. "Optimal Techno-Economic Feasibility of an Off-Grid Microgrid System Using Load Flow Energy Management Strategies," SN Operations Research Forum, Springer, vol. 6(3), pages 1-17, September.
    3. R. M. Romero & Maria Zelinskaya & Samariddin Makhmudov & Sindor Sapaev & Jabbarov Umarbek Rustambekovich, 2025. "Modelling and Optimal Utilisation of the Renewable Energy Systems in Microgrid with Improving Reliability and Energy Efficiency," SN Operations Research Forum, Springer, vol. 6(3), pages 1-20, September.

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