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A Service Restoration Method for Active Distribution Network Based on Robust Stochastic Optimization
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Mu-tao HUANG1, Hu-jun ZHOU1, Ming LU2, Zhe LI2, Shan-feng LIU2
Water Resources and Power | 2023, 41(10) : 224 - 228
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Water Resources and Power | 2023, 41(10): 224-228
• ELECTRICAL ENGINEERING •
A Service Restoration Method for Active Distribution Network Based on Robust Stochastic Optimization
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Mu-tao HUANG1, Hu-jun ZHOU1, Ming LU2, Zhe LI2, Shan-feng LIU2
Affiliations
  • 1.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
  • 2.Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
Published: 2023-10-25 doi: 10.20040/j.cnki.1000-7709.2023.20222552
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After a blackout occurs resulting from an extreme disaster, the active distribution network with distributed generation and energy storage equipment can perform service restoration by island partition and network reconfiguration. To solve the service restoration problem for the active distribution network with uncertain wind power output, this paper proposes a two-stage service restoration model based on robust stochastic optimization. In the first stage, the event-wise ambiguity set of wind power output is constructed based on the historical data and the model which minimizes the outage cost is solved by the robust stochastic optimization method. In the second stage, the energy storage and controllable loads in the distribution network are used to track the wind power output, so as to optimize the scheduling during the fault recovery of the distribution network, which minimizes the outage cost and the total power loss. Finally, the superiority of the proposed the model and strategy is verified by the simulations of a modified IEEE 33-bus distribution system case.

active distribution networks  /  failure recovery  /  robust stochastic optimization  /  island partition  /  network reconfiguration
Mu-tao HUANG, Hu-jun ZHOU, Ming LU, Zhe LI, Shan-feng LIU. A Service Restoration Method for Active Distribution Network Based on Robust Stochastic Optimization[J]. Water Resources and Power, 2023 , 41 (10) : 224 -228 . DOI: 10.20040/j.cnki.1000-7709.2023.20222552
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Year 2023 volume 41 Issue 10
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20222552
  • Receive Date：2022-12-07
  • Online Date：2026-01-28
  • Published：2023-10-25
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  • Received：2022-12-07
  • Revised：2023-02-02
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Affiliations
    1.School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
    2.Electric Power Research Institute of State Grid Henan Electric Power Company, Zhengzhou 450052, China
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