Fuzzy Partitioning of a Real Power System for Dynamic Vulnerability Assessment

被引：112
作者：
Kamwa, Innocent [1 ]
Pradhan, Ashok Kumar [2 ]
Joos, Geza [3 ]
Samantaray, S. R. [3 ]
机构：
[1] Hydro Quebec IREQ, Varennes, PQ J3X 1S1, Canada
[2] Indian Inst Technol, Dept Elect Engn, Kharagpur 721302, W Bengal, India
[3] McGill Univ, Dept Elect & Comp Engn, Montreal, PQ H3A 2A7, Canada
来源：
IEEE TRANSACTIONS ON POWER SYSTEMS | 2009年 / 24卷 / 03期
关键词：
Coherency; coherent area; network partitioning; phasor measurement units; PMU placement; power system monitoring; power system stability; vulnerability assessment; wide-area measurements; COHERENCY; DECOMPOSITION; RANKING; ROTOR;
D O I：
10.1109/TPWRS.2009.2021225
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recently, the authors proposed a clustering approach based on the Fuzzy C-medoid algorithm (FCMdd), for segregating large power systems into coherent electric areas centered around a representative so-called medoid-bus. This bus was shown to be a natural location for PMU in the context of wide-area measurement system (WAMS) configuration for of dynamic vulnerability assessment (DVA). The method was demonstrated on two test systems. The goal of this companion paper is to extend the approach to an actual grid (Hydro-Quebec) with more realistic characteristics in terms of geography and system dynamics. We start by developing a formulation of the coherency matrix that is recursive in time to enable online grid partitioning. The FCMdd is then implemented and compared with other statistical learning techniques. It is observed that only FCMdd is able to provide an intuitively appealing 7-clusters solution for 429-bus system. It is further demonstrated that medoids-based system-wise indices can forecast the contingencies severity under varying network configurations and loadings.
引用
收藏
页码：1356 / 1365
页数：10
相关论文
共 23 条
[1]   AREA DECOMPOSITION FOR ELECTRO-MECHANICAL MODELS OF POWER-SYSTEMS [J].
AVRAMOVIC, B ;
KOKOTOVIC, PV ;
WINKELMAN, JR ;
CHOW, JH .
AUTOMATICA, 1980, 16 (06) :637-648
[2]   Visual assessment of clustering tendency for rectangular dissimilarity matrices [J].
Bezdek, James C. ;
Hathaway, Richard J. ;
Huband, Jacalyn M. .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2007, 15 (05) :890-903
[3]   Optimal placement of rotor angle transducers for power system stability [J].
Chu, XD ;
Liu, YT .
ELECTRIC POWER SYSTEMS RESEARCH, 2003, 67 (02) :133-142
[4]   A coherency recognition based on structural decomposition procedure [J].
De Tuglie, Enrico ;
Iannone, Silvio Marcello ;
Torelli, Francesco .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) :555-563
[5]  
Fu CJ, 1999, IEEE T POWER SYST, V14, P980, DOI 10.1109/59.780910
[6]   A new method suitable for real-time generator coherency determination [J].
Jonsson, M ;
Begovic, M ;
Daalder, J .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (03) :1473-1482
[7]   Coherency and aggregation techniques incorporating rotor and voltage dynamics [J].
Joo, SK ;
Liu, CC ;
Jones, LE ;
Choe, JW .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2004, 19 (02) :1068-1075
[8]   PMU-based vulnerability assessment using wide-area severity indices and tracking modal analysis [J].
Kamwa, I. ;
Beland, J. ;
McNabb, D. .
2006 IEEE/PES POWER SYSTEMS CONFERENCE AND EXPOSITION. VOLS 1-5, 2006, :139-+
[9]  
Kamwa I, 2006, IEEE POWER ENG SOC, P4070
[10]   Automatic segmentation of large power systems into fuzzy coherent areas for dynamic vulnerability assessment [J].
Kamwa, Innocent ;
Pradhan, Ashok Kumar ;
Joos, Geza .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2007, 22 (04) :1974-1985
123