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Resilient scheduling of MESSs and RCs for distribution system restoration considering the forced cut-off of wind power

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  • Wu, Hao
  • Xie, Yunyun
  • Xu, Yan
  • Wu, Qiuwei
  • Yu, Chen
  • Sun, Jinsheng

Abstract

Mobile energy storage systems (MESSs), wind power and repair crews (RCs) are usually coordinated to restore distribution systems damaged by hurricanes. However, the forced cut-off of wind power occurs as wind speed exceeds the cut-off value, which can lead to sudden power shortage. To address this challenge, this paper proposes a restoration approach considering wind power cut-off to enhance distribution system resilience. The resilient coordination approach takes advantage of MESSs, RCs, network reconfiguration and distributed generators (DGs) to restore the outage distribution system. Considering the uncertainty of wind power cut-off, the proposed method is formulated as a two-stage model on two timescales. On the long timescale, MESSs, RCs, DGs and line switches are robustly optimized to reduce critical load loss considering wind power cut-off. On the short timescale, the output decisions of MESSs and DGs are re-dispatched to compensate for the first-stage strategies after uncertainties realization. In addition, the nonlinear output curve of wind power is linearized in mixed integer linear programming form to facilitate the solution of the robust model. Finally, the modified IEEE-69 distribution system is employed to verify the proposed method. Simulation results show that the proposed method can increase the amount of load restoration by 24.1%.

Suggested Citation

  • Wu, Hao & Xie, Yunyun & Xu, Yan & Wu, Qiuwei & Yu, Chen & Sun, Jinsheng, 2022. "Resilient scheduling of MESSs and RCs for distribution system restoration considering the forced cut-off of wind power," Energy, Elsevier, vol. 244(PB).
    • Handle: RePEc:eee:energy:v:244:y:2022:i:pb:s0360544221033302
    DOI: 10.1016/j.energy.2021.123081
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    References listed on IDEAS

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    1. Mehrjerdi, Hasan & Mahdavi, Sajad & Hemmati, Reza, 2021. "Resilience maximization through mobile battery storage and diesel DG in integrated electrical and heating networks," Energy, Elsevier, vol. 237(C).
    2. Shen, Lu & Dou, Xiaobo & Long, Huan & Li, Chen & Chen, Kang & Zhou, Ji, 2021. "A collaborative voltage optimization utilizing flexibility of community heating systems for high PV penetration," Energy, Elsevier, vol. 232(C).
    3. Larsen, Peter H. & Lawson, Megan & LaCommare, Kristina H. & Eto, Joseph H., 2020. "Severe weather, utility spending, and the long-term reliability of the U.S. power system," Energy, Elsevier, vol. 198(C).
    4. Gilani, Mohammad Amin & Kazemi, Ahad & Ghasemi, Mostafa, 2020. "Distribution system resilience enhancement by microgrid formation considering distributed energy resources," Energy, Elsevier, vol. 191(C).
    5. Gomes, I.L.R. & Melicio, R. & Mendes, V.M.F., 2021. "A novel microgrid support management system based on stochastic mixed-integer linear programming," Energy, Elsevier, vol. 223(C).
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    Cited by:

    1. Shen, Yueqing & Qian, Tong & Li, Weiwei & Zhao, Wei & Tang, Wenhu & Chen, Xingyu & Yu, Zeyuan, 2023. "Mobile energy storage systems with spatial–temporal flexibility for post-disaster recovery of power distribution systems: A bilevel optimization approach," Energy, Elsevier, vol. 282(C).
    2. Zhuoxin Lu & Xiaoyuan Xu & Zheng Yan & Dong Han & Shiwei Xia, 2024. "Mobile Energy-Storage Technology in Power Grid: A Review of Models and Applications," Sustainability, MDPI, vol. 16(16), pages 1-19, August.
    3. Qiu, Haifeng & Gu, Wei & Liu, Pengxiang & Sun, Qirun & Wu, Zhi & Lu, Xi, 2022. "Application of two-stage robust optimization theory in power system scheduling under uncertainties: A review and perspective," Energy, Elsevier, vol. 251(C).
    4. Mansouri, Seyed Amir & Nematbakhsh, Emad & Ahmarinejad, Amir & Jordehi, Ahmad Rezaee & Javadi, Mohammad Sadegh & Marzband, Mousa, 2022. "A hierarchical scheduling framework for resilience enhancement of decentralized renewable-based microgrids considering proactive actions and mobile units," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    5. Sadeghi, M. & Kalantar, M., 2023. "Fully decentralized multi-agent coordination scheme in smart distribution restoration: Multilevel consensus," Applied Energy, Elsevier, vol. 350(C).

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