Early warning mechanism for power system large cascading failures

Hui Ren, Xiaozhou Fan, D. Watts, Xingchen Lv
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引用次数: 10

Abstract

As the interconnection of power grids, failure of single component could propagate out, and because of the scale of the power system, it is almost impossible to analysis all failure patterns. Traditional methods for online cascading analysis could face almost unsolvable obstacles on computational burden and accuracy. This paper discusses the mechanisms of early warning of cascading blackouts. Researches have shown, from the complex system point of view, the existence of early-warning signals to indicate for a wide class of systems whether a critical threshold is approaching. Instead of focusing on identifying the possible failure patterns that could lead to cascading blackouts, from the complex system point of view, early warning of cascading blackouts could be realized by identifying how far the system is to the critical state by simulation using fast computational techniques and a group of system indices, providing helpful aid for the operator.
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电力系统大型级联故障预警机制
由于电网的互联互通,单个部件的故障可能会传播出去,而且由于电力系统的规模,几乎不可能分析所有的故障模式。传统的在线级联分析方法在计算量和精度方面存在难以解决的问题。本文讨论了级联停电的预警机制。研究表明,从复杂系统的角度来看,预警信号的存在可以指示大量系统是否接近临界阈值。从复杂系统的角度出发,不再关注识别可能导致级联停电的故障模式,而是利用快速计算技术和一组系统指标,通过模拟来识别系统距离临界状态的距离,从而实现级联停电的预警,为操作人员提供有益的帮助。
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