焦嘉凝, 柳璐, 张天宇, 宣文博, 李慧, 刘忠义. 台风灾害下多阶段协同的受端电网弹性提升策略[J]. 电力系统自动化, 2023, 47(12): 9-18.
引用本文: 焦嘉凝, 柳璐, 张天宇, 宣文博, 李慧, 刘忠义. 台风灾害下多阶段协同的受端电网弹性提升策略[J]. 电力系统自动化, 2023, 47(12): 9-18.
JIAO Jianing, LIU Lu, ZHANG Tianyu, XUAN Wenbo, LI Hui, LIU Zhongyi. Resilience Enhancement Strategy with Multi-stage Collaboration for Receiving-end Grid Under Typhoon Disaster[J]. Automation of Electric Power Systems, 2023, 47(12): 9-18.
Citation: JIAO Jianing, LIU Lu, ZHANG Tianyu, XUAN Wenbo, LI Hui, LIU Zhongyi. Resilience Enhancement Strategy with Multi-stage Collaboration for Receiving-end Grid Under Typhoon Disaster[J]. Automation of Electric Power Systems, 2023, 47(12): 9-18.

台风灾害下多阶段协同的受端电网弹性提升策略

Resilience Enhancement Strategy with Multi-stage Collaboration for Receiving-end Grid Under Typhoon Disaster

  • 摘要: 近年来,台风成为影响沿海城市受端电网安全运行的主要自然灾害。文中综合考虑台风下负荷、区外来电、各类机组、储能、输电通道等在内的受端电网响应特性,提出一种计及预防阶段、抵抗-响应阶段、恢复阶段的多阶段协同弹性提升策略。通过实际运行曲线与理想运行曲线之差量化电网弹性,实现城市受端电网弹性评估。弹性提升模型以投资运行总成本最小和电网弹性最大为目标,包含输电通道加固、机组组合以及增加修复队伍3种措施,涵盖台风过境电网3个阶段状态变化。最后,选取中国某市实际受端电网结合中国气象局热带气旋中心台风数据验证了模型的有效性。

     

    Abstract: In recent years, the typhoon become a major natural disaster affecting the safe operation of the receiving-end grid in coastal cities. This paper proposes a resilience enhancement strategy for multi-stage collaboration including the prevention stage,resistance-response stage and recovery stage by considering the response characteristics of the receiving-end grid under the typhoon disaster, including load, external power, various units, energy storage, and power transmission channels. The resilience of the grid is quantified by the difference between the actual and ideal operation curves, and the resilience of the urban grid is evaluated.The resilience enhancement model and the ideal aims to minimize the total cost of investment and operation and maximize the grid resilience, and includes three types of measures: power transmission channel reinforcement, unit commitment, and additional restoration teams, covering three phases of grid state changes during typhoon transit. Finally, the validity of the model is verified by selecting the actual receiving-end grid of a Chinese city and combining it with typhoon data from the Tropical Cyclone Center of the China Meteorological Administration.

     

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