文献类型：期刊文献

英文题名：Robust principal component analysis-based coherency identification of generators with missing PMU measurements

作者：Qing, Xiangyun[1];Wang, Shaobo[2];Jia, Tinggang[3];Niu, Yugang[1]

机构：[1]E China Univ Sci & Technol, Sch Informat Sci & Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China;[2]Shanghai Elect Grp Co Ltd, Shanghai 200081, Peoples R China;[3]Shanghai Elect Grp Co Ltd, Cent Acad, Shanghai 200081, Peoples R China

年份：2016

卷号：11

期号：1

起止页码：36

外文期刊名：IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING

收录：;EI(收录号：20155301741432);WOS:【SCI-EXPANDED(收录号:WOS:000369522600006)】；

语种：英文

外文关键词：coherency identification; robust principal component analysis; hierarchical clustering; power system; data-driven

摘要：This study provides a new algorithm for grouping coherent generators in power systems using robust principal component analysis. In coherency identification of generators based on measurements by a phasor measurement unit (PMU), PMU measurements can become unavailable because of unexpected failure of data acquisition or communication links. However, the proposed algorithm is robust to missing PMU measurements and is demonstrated on an IEEE 16-generator 68-bus system. This effective identification of coherent clusters with missing PMU measurements is validated and compared with results obtained using the principal component analysis and independent component analysis methods. (c) 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.