杜洋, 刘家妤, 郭灵瑜, 张宸赓, 许寅, 王颖. 极端事件下电力-天然气耦合系统故障连锁传播仿真分析[J]. 电力建设, 2024, 45(5): 1-8.
引用本文: 杜洋, 刘家妤, 郭灵瑜, 张宸赓, 许寅, 王颖. 极端事件下电力-天然气耦合系统故障连锁传播仿真分析[J]. 电力建设, 2024, 45(5): 1-8.
DU Yang, LIU Jia-yu, GUO Ling-yu, ZHANG Chen-geng, XU Yin, WANG Ying. Simulation Analysis of Fault Cascading Propagation in Power-Gas Coupling System During Extreme Events[J]. Electric Power Construction, 2024, 45(5): 1-8.
Citation: DU Yang, LIU Jia-yu, GUO Ling-yu, ZHANG Chen-geng, XU Yin, WANG Ying. Simulation Analysis of Fault Cascading Propagation in Power-Gas Coupling System During Extreme Events[J]. Electric Power Construction, 2024, 45(5): 1-8.

极端事件下电力-天然气耦合系统故障连锁传播仿真分析

Simulation Analysis of Fault Cascading Propagation in Power-Gas Coupling System During Extreme Events

  • 摘要: 随着能源转型的不断推进,电力系统和天然气系统通过燃气机组和天然气电力驱动设备紧密双向耦合。非常规灾害下,两系统的双向耦合可能导致故障跨能源系统传播,加剧停电危机。2021年2月,美国得州因极寒天气引发了故障在电力系统和天然气系统间连锁传播现象,造成了巨大的损失和恶劣的社会影响。首先,文章从电力-天然气耦合的视角下,对得州大规模限电事件的原因进行分析。其次,构造了电力-天然气耦合系统案例,采用基于事件触发的信息交互模式,通过联合仿真对极端事件下故障跨系统传播进行分析,以期直观体现非常规事件下电力-天然气耦合系统的故障传播过程。最后,提出了一种故障阻断策略。通过仿真分析表明,所提方法可有效抑制故障传播,增强系统的防御力。

     

    Abstract: The continuous advancements in energy transformation has led to a tight coupling between power and natural gas systems, enabled by gas-fired units and electricity-driven gas facilities. In the face of unconventional disasters, bidirectional coupling between these systems may cause faults to propagate across the energy system, thereby exacerbating blackout crises. A notable example occurred in February 2021, when Texas, United States, experienced a chain failure between its power and natural gas systems due to extremely cold weather, resulting in significant losses and adverse social impacts. This study begins by analyzing the root causes of large-scale blackout events in Texas from the perspective of power-gas coupling. Subsequently, a power-gas coupling system is constructed, and an event-triggered information interaction mode is employed to examine the fault propagation process of the power-gas coupling system during extreme events through co-simulation. Finally, a fault-blocking strategy is proposed, with the simulation analysis demonstrating that this approach effectively suppresses fault propagation and enhances system defense.

     

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