考虑高风险连锁故障的PMU配置方法

CHEN Xiaogang; TAO Jia; JIANG Quanyuan; CAO Yijia; YI Yonghui

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考虑高风险连锁故障的PMU配置方法

更新时间：2025-08-13

- 考虑高风险连锁故障的PMU配置方法
- Automation of Electric Power Systems Vol. 32, Issue 4, Pages: 11-14(2008)
- 作者机构：
  
  浙江大学电气工程学院,浙江省,杭州市,310027
- 作者简介：
- 基金信息：
- DOI：
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- Published：2008
- 稿件说明：
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CHEN Xiaogang, TAO Jia, JIANG Quanyuan, et al. [J]. Automation of electric power systems, 2008, 32(4): 11-14.
DOI：

CHEN Xiaogang, TAO Jia, JIANG Quanyuan, et al. [J]. Automation of electric power systems, 2008, 32(4): 11-14. DOI：

摘要

针对连锁故障会导致广域测量系统（WAMS）丧失对电力系统完全可观测能力的问题，提出了一种考虑高风险连锁故障的最优相量测量单元（PMU）配置方法。首先使用隐性故障模型和风险理论对电力系统的连锁故障进行模拟仿真和统计分析，从而对系统中的高风险连锁故障进行辨识;进而通过最优PMU配置保证在单一高风险连锁故障发生的情况下WAMS能够保持对电网的完全可观测。以IEEE 39节点系统为例进行了PMU配置和分析，实验结果表明该方法在经济性和鲁棒性之间能够取得较好的平衡。

Abstract

An algorithm for phasor measurement unit（PMU） configuration is presented to prevent the wide-area measurement system（WAMS） from losing its observability due to high risk cascading failures. Cascading failures are analyzed using risk theory and hidden failure model to identify high risk ones. And WAMS observability for single high risk cascading failure is strengthened by optimal configuration of PMU. Experimental results on IEEE39 system justify that the method is economic and robust.

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