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Research on the Sustainability Strategy of Cogeneration Microgrids Based on Supply-Demand Synergy

Author

Listed:
  • Zhilong Yin

    (Xi’an Dynamic Inspection and Testing Co., Ltd., Xi’an 710061, China)

  • Zhiguo Wang

    (Xi’an Dynamic Inspection and Testing Co., Ltd., Xi’an 710061, China)

  • Feng Yu

    (School of Electrical Engineering and Automation, Nantong University, Nantong 226019, China)

  • Yue Long

    (China National Accreditation Service for Conformity Assessment, Beijing 100062, China)

  • Na Li

    (China National Testing Holding Group Co., Ltd., Beijing 100024, China)

Abstract

With the continuous adjustment of energy structure and the improvement of environmental protection requirements, combined heat and power microgrids (CHP-MG) have received widespread attention as an efficient and economical way of utilizing energy. The complexity of energy supply relationships and energy coupling within the microgrid system necessitates optimizing the power output of each equipment unit. In this paper, an optimization strategy for a multi-energy microgrid system is proposed based on the efficient energy supply of cogeneration microgrids: decoupling the thermoelectric connection by using the energy storage equipment on the supply side, utilizing the flexibility of the electrical loads and the diversity of the system’s heating methods, and reducing the electrical loads and changing the selection of the heating methods on the demand side. The optimization model in the paper is mainly based on mixed-integer linear programming and demand-side management theory, which simulates the system operation under different scenarios so as to find the optimal equipment output and load management strategies. Simulation results show that the optimized CHP-MG system can ensure a reliable power supply while effectively reducing operating costs, improving energy utilization and promoting sustainable operation of the energy system. The optimized microgrid system offers significant advantages in terms of economic efficiency and energy management when compared to conventional CHP systems. These findings provide actionable insights for policymakers, system operators, and researchers aimed at driving the development of efficient and sustainable energy management solutions.

Suggested Citation

  • Zhilong Yin & Zhiguo Wang & Feng Yu & Yue Long & Na Li, 2025. "Research on the Sustainability Strategy of Cogeneration Microgrids Based on Supply-Demand Synergy," Sustainability, MDPI, vol. 17(2), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:2:p:752-:d:1570350
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    References listed on IDEAS

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    1. Bedi, Jatin & Toshniwal, Durga, 2019. "Deep learning framework to forecast electricity demand," Applied Energy, Elsevier, vol. 238(C), pages 1312-1326.
    2. Soares, Lacir J. & Medeiros, Marcelo C., 2008. "Modeling and forecasting short-term electricity load: A comparison of methods with an application to Brazilian data," International Journal of Forecasting, Elsevier, vol. 24(4), pages 630-644.
    3. Hong, Tao & Fan, Shu, 2016. "Probabilistic electric load forecasting: A tutorial review," International Journal of Forecasting, Elsevier, vol. 32(3), pages 914-938.
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