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A Review of Optimization for System Reliability of Microgrid

Author

Listed:
  • Bingyin Lei

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Yue Ren

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Huiyu Luan

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Ruonan Dong

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Xiuyuan Wang

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Junli Liao

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China)

  • Shu Fang

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Kaiye Gao

    (School of Economics and Management, Beijing Information Science & Technology University, Beijing 100192, China
    Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China)

Abstract
Clean and renewable energy is the only way to achieve sustainable energy development, with considerable social and economic benefits. As a key technology for clean and renewable energy, it is very important to research the reliability optimization of microgrids. This paper reviews the research progress in microgrid reliability optimization. This paper first classifies and summarizes the existing research on microgrid control strategies and reliability assessment. Then, the system reliability optimization framework is summarized in terms of both microgrid systems and optimization objectives. Next, we summarize the most commonly used optimization algorithms for microgrid reliability for different microgrid systems. Finally, we provide a bibliometric analysis of the literature on the reliability research of microgrids. In addition, we propose some research challenges in the future for the reliability of microgrids.

Suggested Citation

  • Bingyin Lei & Yue Ren & Huiyu Luan & Ruonan Dong & Xiuyuan Wang & Junli Liao & Shu Fang & Kaiye Gao, 2023. "A Review of Optimization for System Reliability of Microgrid," Mathematics, MDPI, vol. 11(4), pages 1-30, February.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:4:p:822-:d:1059268
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    References listed on IDEAS

    as
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    Cited by:

    1. Sulman Shahzad & Muhammad Abbas Abbasi & Hassan Ali & Muhammad Iqbal & Rania Munir & Heybet Kilic, 2023. "Possibilities, Challenges, and Future Opportunities of Microgrids: A Review," Sustainability, MDPI, vol. 15(8), pages 1-28, April.
    2. Zhang, Yue & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2024. "Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading," Renewable Energy, Elsevier, vol. 227(C).
    3. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.
    4. Yue Ren & Chunhua Jin & Shu Fang & Li Yang & Zixuan Wu & Ziyang Wang & Rui Peng & Kaiye Gao, 2023. "A Comprehensive Review of Key Technologies for Enhancing the Reliability of Lithium-Ion Power Batteries," Energies, MDPI, vol. 16(17), pages 1-38, August.
    5. Fanping Wei & Jingjing Wang & Xiaobing Ma & Li Yang & Qingan Qiu, 2023. "An Optimal Opportunistic Maintenance Planning Integrating Discrete- and Continuous-State Information," Mathematics, MDPI, vol. 11(15), pages 1-19, July.

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