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논문 기본 정보

자료유형
학술저널
저자정보
Soo-Hwan Cho (Sangmyung University) Jeong-Uk Kim (Sangmyung University) Il-Yop Chung (Kookmin University) Jong-Hoon Han (Korea University)
저널정보
한국지능시스템학회 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS Vol.12 No.1
발행연도
2012.3
수록면
42 - 46 (5page)

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With the development of industry, more large-scale non-linear loads are added to existing power systems and they cause the serious power quality (PQ) problems to the nearby sensitive installations more and more. To protect the important loads and mitigate the impact of PQ disturbances on them, various compensating devices are installed. One of the most important control skills used in the compensating equipment at the load side is how fast they can recognize or detect the discontinuous abnormal PQ events from the normal voltage signal. This paper deals with two estimation methods for the fast detection and tracking of general PQ disturbances: Teager Energy Operator (TEO), which is a non-linear operator and used for a short time energy calculation, and Kalman Filter (KF), which is one of the most universally used estimation techniques. And it is also shown how to apply the TEO and the KF to detect the PQ disturbances such as voltage sag, swell, interruption, harmonics and voltage fluctuation.

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Abstract
1. Introduction
2. TEO and Kalman Filter for PQ Event Detection
3. Simulations
4. Conclusion
References

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