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서지반출
Determination of Power-Quality Disturbances Using Teager Energy Operator and Kalman Filter Algorithms
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  • Determination of Power-Quality Disturbances Using Teager Energy Operator and Kalman Filter Algorithms
  • Determination of Power-Quality Disturbances Using Teager Energy Operator and Kalman Filter Algorithms
저자명
Cho. Soo-Hwan,Kim. Jeong-Uk,Chung. Il-Yop,Han. Jong-Hoon
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2012년|12권 1호|pp.42-46 (5 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.