张宸赓, 许寅, 王玥, 张琪祁. 极寒灾害下电力-天然气耦合系统故障连锁传播过程推演方法[J]. 电网技术, 2024, 48(10): 4084-4093. DOI: 10.13335/j.1000-3673.pst.2024.0364
引用本文: 张宸赓, 许寅, 王玥, 张琪祁. 极寒灾害下电力-天然气耦合系统故障连锁传播过程推演方法[J]. 电网技术, 2024, 48(10): 4084-4093. DOI: 10.13335/j.1000-3673.pst.2024.0364
ZHANG Chengeng, XU Yin, WANG Yue, ZHANG Qiqi. Deduction Method for the Cascading Fault Propagation Process in Integrated Power and Natural Gas Systems Under Extreme Cold Disasters[J]. Power System Technology, 2024, 48(10): 4084-4093. DOI: 10.13335/j.1000-3673.pst.2024.0364
Citation: ZHANG Chengeng, XU Yin, WANG Yue, ZHANG Qiqi. Deduction Method for the Cascading Fault Propagation Process in Integrated Power and Natural Gas Systems Under Extreme Cold Disasters[J]. Power System Technology, 2024, 48(10): 4084-4093. DOI: 10.13335/j.1000-3673.pst.2024.0364

极寒灾害下电力-天然气耦合系统故障连锁传播过程推演方法

Deduction Method for the Cascading Fault Propagation Process in Integrated Power and Natural Gas Systems Under Extreme Cold Disasters

  • 摘要: 随着电力系统和天然气系统的耦合日益紧密,极端灾害发生时跨能源系统的故障传播风险加剧,可能进一步扩大停电范围。电力和天然气耦合系统的故障推演分析可为剖析演化机理和制定相应的阻断措施奠定基础。首先,以得州停电事件为背景,分析了极端灾害下故障如何跨能源系统传播,并指出分析时须重点考虑的关键问题。其次,为分析故障推演过程,分别从耦合建模、联合仿真以及实现方式3方面展开。重点关注时间尺度和建模需求,考虑了适用于灾害连锁传播分析的电力系统、天然气系统以及耦合元件的模型;设计了时间驱动和事件驱动相结合的联合仿真方法,并通过设计仿真软件之间信息交互的定制化接口方式实现。该方法实现了电力系统和天然气系统在各自平台上仿真信息的时空交互,可直观刻画故障在耦合系统中的推演过程。最后,通过电力-天然气耦合系统测试,分析了极寒灾害下电力-天然气耦合系统的故障传播过程和故障防御措施,验证了所提方法的有效性。

     

    Abstract: As power and natural gas systems become more closely interdependent, the risk of fault propagation across these systems during extreme disasters is significantly heightened, potentially leading to an expanded scope of power outages. The fault propagation analysis in the interdependent power and natural gas systems is foundational for understanding the evolutionary mechanisms and developing appropriate mitigation strategies. Firstly, with the Texas blackout event as the background, how faults propagate across energy systems under extreme disaster conditions is analyzed, and the key considerations to be emphasized in the analysis are identified. Secondly, the fault propagation process is analyzed from three perspectives: coupled modeling, co-simulation, and implementation methods. Emphasis is placed on the time scale and modeling requirements, incorporating models of power systems, natural gas systems, and coupled components suitable for analyzing disaster propagation. A co-simulation method that integrates time-driven and event-driven methods is designed and facilitated by customized interfaces for exchanging information between simulation software. This method enables the spatiotemporal interaction of simulation data between the power and natural gas systems on their respective platforms, providing an intuitive representation of the fault propagation process. Lastly, through a case study of an integrated power and natural gas system, the fault propagation process and fault defense measures under extreme cold disasters were examined, thereby validating the effectiveness of the proposed method.

     

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