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A risk assessment method based on importance of component and operational state under catastrophic accident

机译:重大事故下基于部件重要性和运行状态的风险评估方法

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摘要

To consider the importance of components and time-varying operational conditions comprehensively, a risk assessment method, based on operational reliability and entropy, is investigated for catastrophic accident of power system. Real-time fault probability is got by using component's operational reliability model which considers the cumulative effect, and component's importance is obtained by using the combination of entropy and potential energy, which takes active power, reactive power and other factors into account. Finally, on the basis of fault probability, component's importance and severity, considering both operational state and structure change simultaneously, a catastrophic accident risk index is built to predict the risk of each level in multilevel fault cases, which reflects the process from cascading outages to catastrophic accident. Simulation results on the IEEE 57-bus system, for instance, the rank of N-1 initial fault risk and N-k fault sequence risk assessment prove that this method can identify the risks within the system effectively.
机译:为了全面考虑组件的重要性和时变运行条件,研究了一种基于运行可靠性和熵的风险评估方法,以应对电力系统灾难性事故。实时故障概率是通过考虑部件累积效应的部件运行可靠性模型获得的,而通过将熵和势能相结合来考虑部件的重要性,其中考虑了有功功率,无功功率等因素。最后,在故障概率,组件重要性和严重性的基础上,同时考虑运行状态和结构变化,构建了灾难性事故风险指数来预测多级故障案例中各个级别的风险,这反映了从级联故障到故障的整个过程。灾难性事故。在IEEE 57总线系统上的仿真结果,例如,N-1个初始故障风险等级和N-k个故障序列风险评估等级,证明该方法可以有效地识别系统内的风险。

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