Pre-Disaster Short-Term Collaborative Prevention Strategy for Power Grid With High Proportion of New Energy

Bo DING; Zhaowei LI; Wenjun ZHOU; Kaiming LUO; Ze LI; Tao JIN

doi:10.16513/j.2096-2185.DE.(2025)010-01-0014-09

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Distributed Energy ›› 2025, Vol. 10 ›› Issue (1) : 14-22. DOI: 10.16513/j.2096-2185.DE.(2025)010-01-0014-09

Basic Research

Pre-Disaster Short-Term Collaborative Prevention Strategy for Power Grid With High Proportion of New Energy

Bo DING ¹ ,
Zhaowei LI ² ,
Wenjun ZHOU ³ ,
Kaiming LUO ³ ,
Ze LI ² ,
Tao JIN ³

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Abstract

In order to enhance the disaster resistance ability of power system， the active prevention strategy of the power grid with high proportion of new energy before disaster is studied. Firstly， combining the accuracy of disaster prediction and the time scale of proactive preventive measures， the length of proactive preventive decision window before disaster is studied. Secondly， a three-layer proactive prevention model with the goal of minimizing the sum of dispatching cost and loss of load is constructed. The upper-layer model determines the access location and time of mobile emergency power supply， while the middle-layer model determines the extreme disaster attack scenario with the greatest loss of load based on the set of natural disaster scenarios. The lower model optimizes the network topology and power output based on the mobile emergency power access scheme and extreme disaster attack scenario. Finally， the effectiveness of the proposed method is verified on the IEEE 69-node simulation system. The results show that the preventive cost of the active preventive strategy is much less than that of the passive preventive measures， and the pre-access time of the mobile emergency power also has a certain impact on the preventive cost of the active preventive strategy.

Key words

pre-disaster active prevention / prevent-attack-prevent / mobile emergency power supply

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Bo DING , Zhaowei LI , Wenjun ZHOU , et al . Pre-Disaster Short-Term Collaborative Prevention Strategy for Power Grid With High Proportion of New Energy[J]. Distributed Energy Resources. 2025, 10(1): 14-22 https://doi.org/10.16513/j.2096-2185.DE.(2025)010-01-0014-09

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