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<p>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.</p>

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

  • 期刊论文

  • 发表日期：

    2025年6月6日

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  • M. Mohammedi,
  • Majid Naseri,
  • Kamilia Mehrabi Jorshary,
  • Navid Golchin,
  • Shokhjakhon Akhmedov,
  • Valisher Sapayev Odilbek Uglu

摘要

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.