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Optimal Operation of Energy Microgrid Considering Economic and Emission Indices

Author

Listed:
  • J. C. M. Mamani

    (Universidad Brazil)

  • Mahdi Miri

    (Ferdowsi University of Mashhad)

  • Yurii Vorobev

    (Financial University Under the Government of the Russian Federation)

  • Rustem Shichiyakh

    (Kuban State Agrarian University Named After I.T. Trubilin)

  • Samariddin Makhmudov

    (Termez University of Economics and Service
    Alfraganus University
    Tashkent State University of Economics)

  • Umarbek Rustambekovich Jabbarov

    (Mamun University)

  • Muzaffar Shojonov

    (Urgench State University)

Abstract

The interplay between energy, social sustainability, and the economic and environmental dimensions has prompted energy operators to explore various challenges associated with energy operations. This study focused on optimizing the performance of energy microgrids, factoring in economic and environmental metrics for day-ahead planning. The proposed microgrid features a combination of hybrid energy resources, which include power, heat, and hydrogen systems. The objective functions are designed as multi-objective functions that aim to reduce emissions while maximizing the microgrid’s profitability, all while taking into account the energy purchases made by consumers. Furthermore, the research suggests implementing demand response modeling on the consumer side, which is based on shifting demand to enhance energy management. The success of this demand-side management (DSM) modeling is dependent on the pricing dynamics within the energy market, enabling consumers to adjust their energy consumption from high-price periods to those with lower prices. Ultimately, to validate the aforementioned approach some case studies were compared, and the results show optimal scheduling of operational costs, emissions, and demand using the proposed method.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:snopef:v:6:y:2025:i:3:d:10.1007_s43069-025-00523-z
    DOI: 10.1007/s43069-025-00523-z
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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. Brown, Maxwell & Hotchkiss, Eliza & Collins, Gabriel & Seyedrezaei, Mirali & Bazilian, Morgan, 2025. "No Minerals, No Megawatts: How material costs and availability shape the future of the US power sector," Resources Policy, Elsevier, vol. 106(C).
    3. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    4. 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.
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