电力系统自动化2025，Vol.49Issue(3)：103-113,11.DOI:10.7500/AEPS20240604005
计及天然气非等温特性的气电互联系统连锁故障评估
Assessment of Cascading Failures for Gas-Electricity Interconnected System Considering Non-isothermal Characteristics of Natural Gas
摘要
Abstract
While the coupling relationship between the power grid and the natural gas network tends to be close,fault propagation across heterogeneous energy systems introduces new risks of cascading failures in the gas-electricity interconnected system.However,none of the related studies conducted at the current stage has taken into account the characteristics of gas temperature change during the transmission process of natural gas,which may make it difficult to reflect the actual evolution of cascading failures and conduct an accurate impact assessment.Firstly,this paper deduces the non-isothermal transport equation in the steady state of a natural gas pipeline and establishes the corresponding model.Through theoretical analysis and simulation,it is proven that there is a relationship among the gas flow rate,gas temperature,and pressure difference between the beginning and end of the pipeline.On this basis,a model for evaluating the cascading failures of gas-electricity interconnected system considering the non-isothermal characteristics of natural gas is proposed to more accurately assess the impact of natural gas on the cascading failures.Finally,the validity of the proposed model is verified with a test case consisting of an IEEE 39-bus system and a modified Belgian 20-bus natural gas system,and compared and analyzed with related studies based on the isothermal assumption.The results show that the proposed model can adequately reflect the non-isothermal characteristic of the natural gas system,with regard to its accuracy and practicality in assessing the impacts of cascading failures in the power system.关键词
天然气/非等温特性/气电互联系统/连锁故障Key words
natural gas/non-isothermal characteristic/gas-electricity interconnected system/cascading failure引用本文复制引用
刘雨濛,李佳松,顾雪平,党玉洁..计及天然气非等温特性的气电互联系统连锁故障评估[J].电力系统自动化,2025,49(3):103-113,11.基金项目
国家自然科学基金青年基金资助项目(52307099). This work is supported by National Natural Science Foundation of China(No.52307099). （52307099）
