Power system cascading risk assessment based on complex network theory
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Power system cascading risk assessment based on complex network theory

机译：基于复杂网络理论的电力系统级联风险评估

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Abstract When a single failure occurs in a vulnerable part of a power system, this may cause a large area cascading event. Therefore, an advanced method that can assess the risks during cascading events is needed. In this paper, an improved complex network model for power system risk assessment is proposed. Risk is defined by consequence and probability of the failures in this model, which are affected by both power factors and network structure. Compared with existing risk assessment models, the proposed one can evaluate the risk of the system comprehensively during a cascading event by combining the topological and electrical information. A new cascading event simulation module is adopted to identify the power grid cascading chain from a system-level view. In addition, simulations are investigated on the IEEE 14 bus system and IEEE 39 bus system respectively to illustrate the performance of the proposed module. The simulation results demonstrate that the proposed method is effective in a power grid risk assessment during cascading event. Highlights ? An improved complex networ
机译：<！[cdata [ 抽象 当在电力系统的易受攻击的部分发生一次故障时，这可能导致大面积的级联事件。因此，需要一种可以在级联事件期间评估风险的高级方法。本文提出了一种改进的电力系统风险评估复杂网络模型。通过该模型中失败的后果和概率来定义风险，这些模型受到电源因素和网络结构的影响。与现有风险评估模型相比，通过组合拓扑和电气信息，所提出的人可以在级联事件期间综合评估系统的风险。采用新的级联事件仿真模块来从系统级视图识别电网级联链。另外，在IEEE 14总线系统和IEEE 39总线系统上研究了模拟，以说明所提出的模块的性能。仿真结果表明，所提出的方法在级联事件期间的电网风险评估中是有效的。 亮点 < CE：简单段ID =“SP000075”查看=“全部”> ？ 改进的复杂Networ

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