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Detection of event sequences leading to cascading failures in power systems

机译:检测导致电源系统级联故障的事件序列

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This paper proposes a method for identifying event sequences leading to blackouts in power systems. To identify the cascades, grid is modeled like an event tree where each branch represents a contingency and each node represents state of the system. Due to huge number of possible paths in the event tree, computational burden is the key issue in searching the cascades. In this paper, computational burden has been reduced in two ways. In the first step, search space is reduced by defining a region of vulnerability and in the second step, less important events in the region of vulnerability are discarded using a risk index which condenses both the severity and probability of any event. Proposed method is tested on benchmark New England 39-bus system and simulation results are presented to illustrate the effectiveness of the method.
机译:本文提出了一种识别导致电力系统停电的事件序列的方法。为了识别级联,网格像事件树一样建模,其中每个分支代表一个偶然事件,每个节点代表系统状态。由于事件树中大量可能的路径,因此计算负担是搜索级联时的关键问题。本文通过两种方式减轻了计算负担。第一步,通过定义漏洞区域来减少搜索空间,而在第二步中,使用风险指数来丢弃漏洞区域中不太重要的事件,该风险指数可以汇总任何事件的严重性和可能性。该方法在基准的新英格兰39总线系统上进行了测试,并通过仿真结果说明了该方法的有效性。

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