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Enhancing the survival time of multiple islanding microgrids through composable modular energy router after natural disasters

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  • Zhang, Shizhong
  • Pei, Wei
  • Xiao, Hao
  • Yang, Yanhong
  • Ye, Hua
  • Kong, Li

Abstract

The survival time of an islanding microgrid (I-MG) formed after a natural disaster is a reflection of its resilience. To improve the survival time of multiple I-MGs after a natural disaster, this paper explores flexible interconnection of multiple I-MGs by using the composable modular energy router (CMER). The model of the CMER and multiple I-MGs interconnection structure are introduced firstly. In order to describe the randomness of distributed renewable energy (DRE) and load demand, kernel density estimation (KDE), latin hypercube sampling (LHS) and simultaneous backward reduction (SBR) methods are used to generate and reduce the scene. Then, the I-MG survival time metrics and the bi-level optimization model of the CMER interconnected multiple I-MGs considering survival time-network losses are proposed. In order to solve the complicated bi-level optimization model, solving strategy and I-MG exiting interconnection mechanism are proposed. A case study which has three I-MGs after natural disasters is performed to carry out the evaluation model and methods. The results show that the proposed model and methods are effective. CMER can improve the survival time of multiple islanding microgrids. Furthermore, the capacity of the CMER can be optimized according to the optimization results.

Suggested Citation

  • Zhang, Shizhong & Pei, Wei & Xiao, Hao & Yang, Yanhong & Ye, Hua & Kong, Li, 2020. "Enhancing the survival time of multiple islanding microgrids through composable modular energy router after natural disasters," Applied Energy, Elsevier, vol. 270(C).
    • Handle: RePEc:eee:appene:v:270:y:2020:i:c:s0306261920306504
    DOI: 10.1016/j.apenergy.2020.115138
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    References listed on IDEAS

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    1. Wang, Chengshan & Song, Guanyu & Li, Peng & Ji, Haoran & Zhao, Jinli & Wu, Jianzhong, 2017. "Optimal siting and sizing of soft open points in active electrical distribution networks," Applied Energy, Elsevier, vol. 189(C), pages 301-309.
    2. Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
    3. Yang, Yanhong & Pei, Wei & Huo, Qunhai & Sun, Jianjun & Xu, Feng, 2018. "Coordinated planning method of multiple micro-grids and distribution network with flexible interconnection," Applied Energy, Elsevier, vol. 228(C), pages 2361-2374.
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    Cited by:

    1. Song, Dongran & Tu, Yanping & Wang, Lei & Jin, Fangjun & Li, Ziqun & Huang, Chaoneng & Xia, E & Rizk-Allah, Rizk M. & Yang, Jian & Su, Mei & Hoon Joo, Young, 2022. "Coordinated optimization on energy capture and torque fluctuation of wind turbines via variable weight NMPC with fuzzy regulator," Applied Energy, Elsevier, vol. 312(C).
    2. Xiao, Hao & Pei, Wei & Deng, Wei & Ma, Tengfei & Zhang, Shizhong & Kong, Li, 2021. "Enhancing risk control ability of distribution network for improved renewable energy integration through flexible DC interconnection," Applied Energy, Elsevier, vol. 284(C).

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