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논문 기본 정보

자료유형
학술저널
저자정보
Hung Nguyen Dinh (Seoul National University) Minh Y Nguyen (Seoul National University) Yong Tae Yoon (Seoul National University)
저널정보
대한전기학회 Journal of Electrical Engineering & Technology Journal of Electrical Engineering & Technology Vol.8 No.2
발행연도
2013.3
수록면
197 - 205 (9page)

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초록· 키워드

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Real time transient stability assessment mainly depends on real-time prediction. Unfortunately, conventional techniques based on offline analysis are too slow and unreliable in complex power systems. Hence, fast and reliable stability prediction methods and simple stability criterions must be developed for real time purposes. In this paper, two new methods for real time determining critical clearing time based on clustering identification are proposed. This article is covering three main sections: (i) clustering generators and recognizing critical group; (ii) replacing the multi-machine system by a two-machine dynamic equivalent and eventually, to a one-machineinfinite-bus system; (iii) presenting a new method to predict post-fault trajectory and two simple algorithms for calculating critical clearing time, respectively established upon two different transient stability criterions. The performance is expected to figure out critical clearing time within 100ms-150ms and with an acceptable accuracy.

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Abstract
1. Introduction
2. Clustering Identification
3. Network Reduction
4. Proposed Methods
5. Case Study
6. Conclusion
Acknowledgements
References

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