引用本文:金波,肖先勇,李长松.基于一、二次系统交互关系的电网连锁故障演化机制分析[J].电力自动化设备,2017,37(1):
JIN Bo,XIAO Xianyong,LI Changsong.Analysis of cascading failure evolution based on interaction between primary and secondary systems[J].Electric Power Automation Equipment,2017,37(1):
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基于一、二次系统交互关系的电网连锁故障演化机制分析
金波, 肖先勇, 李长松
四川大学 电气信息学院,四川 成都 610065
摘要:
基于电网一、二次系统交互关系提出连锁故障演化机制的分析方法。基于一、二次系统相互影响的物理过程,提出交互关系的概念,并分析其在连锁故障演化过程中的机制;为刻画该交互关系,提出保护动作严重度概念,并建立一次系统变权重模型;构建基于交互关系的加权拓扑模型,并利用网络效率指标分析交互关系下的连锁故障演化机制。仿真结果表明:交互关系下的电网更加脆弱;线路运行容量系数越大,连锁故障对网络效率的影响越大;线路运行极限系数越大,电网抵御连锁故障的鲁棒性越强。
关键词:  复杂网络理论  交互  连锁故障  变权重模型  网络效率
DOI:10.16081/j.issn.1006-6047.2017.01.027
分类号:
基金项目:
Analysis of cascading failure evolution based on interaction between primary and secondary systems
JIN Bo, XIAO Xianyong, LI Changsong
School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China
Abstract:
A method based on the interaction between the primary and secondary systems of power grid is introduced for analyzing the mechanism of cascading failure evolution. The concept of interaction is based on the physical mutual impact between the primary and secondary systems and its function during the evolution of cascading failure is analyzed. A concept of protection trip severity is applied to characterize this interaction and a variable weight model of primary system is established. A weighted topology model based on the interaction is built and the network efficiency index is adopted to analyze the mechanism of cascading failure evolution. Simulative results show that, power system becomes more vulnerable under this interaction; the bigger the operating capacity coefficient is, the greater the cascading failure impacts on network efficiency; the bigger the operating limit coefficient is, the stronger the robustness of power grid against cascading failure becomes.
Key words:  complex network theory  interaction  cascading failure  variable weighted model  network efficiency

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