Electric Power ›› 2023, Vol. 56 ›› Issue (7): 95-106.DOI: 10.11930/j.issn.1004-9649.202209024

• Power System • Previous Articles     Next Articles

Coordinated Restoration Method of Hybrid AC/DC Distribution Networks for Resilience Enhancement

FU Shouqiang1,2, CHEN Xiangyu1,2, ZHANG Libin1,2, QIN Chao3, ZENG Yongkang3   

  1. 1. State Grid Jibei Economic Research Institute, Beijing 100038, China;
    2. Beijing Jingyan Electric Power Engineering Design Co., Ltd., Beijing 100038, China;
    3. Key Laboratory of Smart Grid of the Ministry of Education, Tianjin University, Tianjin 300072, China
  • Received:2022-09-07 Revised:2023-05-15 Accepted:2022-12-06 Online:2023-07-23 Published:2023-07-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Jibei Electric Power Company (No.52018F20001M).

Abstract: Hybrid AC/DC distribution network is an important form of future distribution networks. In recent years, increasingly frequent extreme disasters have posed severe challenges to the safe and reliable power supply of hybrid AC/DC distribution networks. It is urgent to enhance the resilience of hybrid AC/DC distribution networks. Considering the sequential fault and its repairing process caused by extreme disasters, a collaborative restoration method for hybrid AC/DC distribution networks is proposed. Distributed generations (DGs), mobile emergency generators (MEGs), and dynamic reconfiguration of AC/DC distribution networks are fully coordinated to achieve rapid restoration of critical loads under extreme disasters. During the sequential fault occurrence and repairing, the collaborative reconfiguration of the AC and DC portions of the hybrid AC/DC distribution networks is implemented to isolate faults and restore loads by remote-controlled switch (RCS). Additionally, restoration islands are formed based on the dynamic dispatching of MEGs and DGs to ensure the rapid restoration of critical loads and improve network resilience. The second-order cone relaxation technique is adopted to convexify the power flow equations in this optimization model. Consequently, the original model is converted to a mixed integer second-order cone programming which can be solved efficiently. A modified IEEE 33-bus hybrid AC/DC distribution network is employed to verify the effectiveness of the proposed method. The importance of considering MEG real-time scheduling, RCS based dynamic network reconfiguration, and AC/DC part coordination of the distribution network for enhancing the resilience is also demonstrated.

Key words: mobile emergency generator, dynamic network reconfiguration, hybrid AC/DC distribution network, resilience, extreme disaster