考虑相互依赖特性的电、气一体化网络故障评估方法

Su Jieying, Zhang Yongjun, An Yuzheng, Hu Liehao
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引用次数: 1

摘要

随着电网与天然气网络耦合的不断加深,电网与天然气网络之间的相互依存关系带来了新的系统安全运行问题,增加了电气一体化系统级联故障的风险。为此,本文提出了一种考虑电网与天然气网络相互依赖的电力天然气一体化系统故障传播影响分析方法。首先,分析了电、气一体化系统的相互依赖特性和两网间故障的传播机制;然后分析了不同耦合度下两个网络间故障的传播特性。在此基础上,建立了考虑天然气输送慢时标特性的电-气一体化系统的准稳态潮流方程。然后,从系统供能效率和可靠性的角度出发,利用负荷损失率和全局网络有效性指标损失率来评估和分析故障传播对电、气一体化系统运行的影响,构建电、气一体化系统级联故障评估模型。最后,通过仿真算例验证了所提模型方法的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault assessment method of Integrated Electricity and Natural Gas Network Considering Interdependent Characteristics
As the coupling between the power grid and the natural gas network continues to deepen, the interdependence between the power grid and the natural gas network has caused new system safety operation problems, increasing the risk of cascading failures in integrated electricity and natural gas system. For this reason, this paper proposes a method to analyze the influence of fault propagation in integrated electricity and natural gas system considering the interdependence of the power grid and the natural gas network. First, it analyzes the interdependence characteristics of integrated electricity and natural gas system and the propagation mechanism of faults between the two networks; and then analyzes the propagation characteristics of faults between the two networks under different coupling degrees. Furthermore, the quasi- steady-state power flow equations of integrated electricity and natural gas system considering the slow time-scale characteristics of transmission of natural gas is constructed. And then, from the perspective of energy supply efficiency and reliability of system, this paper uses loss rate of load and loss rate of global network effectiveness indicators to evaluate and analyze the impact of failure propagation on operation of integrated electricity and natural gas system, which constructs the assessment model of cascading failures of integrated electricity and natural gas system. Finally, the validity and applicability of the proposed model method are verified by simulation examples.
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