DocumentCode :
2538569
Title :
A modified pattern recognition algorithm and its application in power system transient stability assessment
Author :
Wang, Tong Wen ; Guan, Lin ; Zhang, Yao
Author_Institution :
Electr. Power Coll., South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
20-24 July 2008
Firstpage :
1
Lastpage :
7
Abstract :
A modified pattern recognition algorithm based on the residual analysis and the recursive partition is proposed in this paper, which is more effective than the original algorithm in cases of high-dimension finite-sample practical engineering problems. The proposed approach is first verified with artificial testing data and then applied to power system transient stability assessment (TSA). Case studies show that the proposed pattern recognition scheme can successfully find out the relationships between the pre-contingency steady state quantities and the stability indices under each specified fault. According to the spatial description of the obtained patterns in the feature space, the transient stability levels can be predicted according to the system operation states. Thus the TSA scheme obtained can not only predict the stability index, such as the CCT value, of faults but also offer instability preventive control strategies. Simulation results on the IEEE New-England test system verifies the feasibility and good performance of the proposed algorithm. As a pattern recognition technique, it can be widely applied in different engineering domains to realize knowledge acquisition.
Keywords :
knowledge acquisition; pattern recognition; power engineering computing; power system faults; power system transient stability; high-dimension finite-sample practical engineering; instability preventive control strategy; knowledge acquisition; pattern recognition algorithm; power system transient stability assessment; precontingency steady state quantities; residual analysis; Algorithm design and analysis; Knowledge engineering; Partitioning algorithms; Pattern analysis; Pattern recognition; Power engineering and energy; Power system stability; Power system transients; Steady-state; System testing; Intelligent System; Knowledge Engineering; Pattern Recognition; Power System; Transient Stability Assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
ISSN :
1932-5517
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
Type :
conf
DOI :
10.1109/PES.2008.4596483
Filename :
4596483
Link To Document :
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