Title :
Novel Approaches to Data Preprocessing For Transient Stability Assessment
Author :
Yu, Zhonghong ; Zhou, Xiaoxin ; Wu, Zhongxi
Author_Institution :
PSASP Lab., CEPRI, Beijing
Abstract :
While continuously searching for new transient stability assessment (TSA) algorithms based on pattern recognition in recent years, less work was focused on data preprocessing which is one of important TSA components. In general, abundance of original data would increase the complexity of TSA, resulting in a longtime computation. In order to improve the performance of TSA, two novel data preprocessing approaches were proposed in the paper. One is fuzzy ISODATA, and the other is the modified recursive principal component analysis. In these ways, the size of data can be obviously reduced without jeopardizing the results of TSA. Simulation of a 4933-bus state grid of China system indicates higher efficiency in comparison with the traditional TSA
Keywords :
fuzzy systems; pattern recognition; power grids; power system transient stability; principal component analysis; 4933-bus state grid; China; data preprocessing; fuzzy ISODATA approach; modified recursive principal component analysis; pattern recognition; transient stability assessment; Computational modeling; Data preprocessing; Feature extraction; Pattern recognition; Power system analysis computing; Power system modeling; Power system transients; Principal component analysis; Real time systems; Stability; Transient stability Assessment; data preprocessing; fuzzy ISODATA clustering; principal component analysis;
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
DOI :
10.1109/TDC.2005.1546983
