电网技术Issue(4)：1067-1074,8.DOI:10.13335/j.1000-3673.pst.2015.04.029
基于有限同步量测数据的电力系统故障检测、辨识与定位
Fault Detection, Identification and Location Based on Measurement Data From Finite Synchronized Phasor Measurement
施微 1黄磊 2徐箭 1谷祎 3蒋怀光 3张俊3
作者信息
- 1. 武汉大学电气工程学院，湖北省武汉市 430072
- 2. 南方电网科学研究院，广东省广州市 510080
- 3. 美国丹佛大学，科罗拉多丹佛 80208
- 折叠
摘要
Abstract
An approach for fault detection, identification and location in the power system based on synchronized measurement from finite phasor measurement units(PMU)is proposed. Firstly, the optimal PMU placement (OPP) problem is modeled and solved to ensure the optimal spatial distribution of synchrophasor measurements. Then the matching pursuit decomposition (MPD) algorithm is used to extract the time-frequency features of the synchronized frequency and voltage signals acquired by PUM, andk-means clustering algorithm is adopted to classify the features. Based on the time-frequency characteristics of frequency signals, different Hidden Markov Models (HMMs) are trained for fault detection and identification. And a fault location map is generated using the time-frequency characteristics of voltage and topology information of the power system to determine the fault location. The proposed method is evaluated on the IEEE 39-bus system and a real power system to verify its efficiency, effectiveness and robustness.关键词
智能电网/PMU优化配置/故障检测/故障辨识/故障定位/匹配追踪分解/隐马尔可夫模型Key words
smart grid/optimal PMU placement/fault detection/fault identification/fault location/matching pursuit decomposition/hidden Markov model分类
信息技术与安全科学引用本文复制引用
施微,黄磊,徐箭,谷祎,蒋怀光,张俊..基于有限同步量测数据的电力系统故障检测、辨识与定位[J].电网技术,2015,(4):1067-1074,8.
