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Optimization of Hybrid Energy Storage Systems at the Building Level with Combined Heat and Power Generation

Author

Listed:
  • Dongmin Yu

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Huanan Liu

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Gangui Yan

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Jing Jiang

    (Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China)

  • Simon Le Blond

    (Department of Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UK)

Abstract

The average daily benefit to cost ratio of a building energy storage system is mainly constrained by the battery lifetime. This paper aims to minimize the average daily cost of a hybrid energy storage system (HESS) (comprised of a battery and supercapacitor) by optimizing the battery capacity. A novel optimization model is proposed with the objective to find the minimum average daily investment cost of the HESS. The objective function has two parts: (1) the investment cost formula for the battery is derived as a function of the battery capacity, which has an interdependence with the minimum state of charge (SOC) and the maximum discharge current; (2) the investment cost formula for the supercapacitor is also established as a function of battery capacity by matching the maximum battery power with that of the supercapacitor. Case studies demonstrate several ways to increase the average daily benefit to cost ratio: (1) adopting a suitable control strategy to avoid capacity saturation; (2) reducing the battery SOC to increase the threshold for the maximum discharge current (MDC) saturation; and (3) increasing MDC to raise the threshold for the SOC saturation. Results show that the average daily benefit to cost ratio is doubled compared to previous work.

Suggested Citation

  • Dongmin Yu & Huanan Liu & Gangui Yan & Jing Jiang & Simon Le Blond, 2017. "Optimization of Hybrid Energy Storage Systems at the Building Level with Combined Heat and Power Generation," Energies, MDPI, vol. 10(5), pages 1-15, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:5:p:606-:d:97306
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    References listed on IDEAS

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    Cited by:

    1. Liu, Xuezhi & Yan, Zheng & Wu, Jianzhong, 2019. "Optimal coordinated operation of a multi-energy community considering interactions between energy storage and conversion devices," Applied Energy, Elsevier, vol. 248(C), pages 256-273.
    2. Yanbo Che & Jinhuan Zhou & Tingjun Lin & Wenxun Li & Jianmei Xu, 2018. "A Simplified Control Method for Tie-Line Power of DC Micro-Grid," Energies, MDPI, vol. 11(4), pages 1-13, April.
    3. Maria Guadalupe Reveles-Miranda & Manuel Israel Flota-Bañuelos & Freddy Chan-Puc & Daniella Pacheco-Catalán, 2017. "Experimental Evaluation of a Switching Matrix Applied in a Bank of Supercapacitors," Energies, MDPI, vol. 10(12), pages 1-12, December.
    4. Hong Zhang & Hao Sun & Qian Zhang & Guanxun Kong, 2018. "Microgrid Spinning Reserve Optimization with Improved Information Gap Decision Theory," Energies, MDPI, vol. 11(9), pages 1-17, September.

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