원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.9 No.8
2016.08
pp.355-380
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Application of a Tunable-Q Wavelet Transform based technique is proposed in this paper for the extraction of Fundamental frequency component in Power Quality Disturbances. The TQWT filters are designed to extract the fundamental frequency component from the complete voltage (or) current signal. This is achieved by tuning the Q-factor and redundancy of the wavelet by primarily investigating the presence of interharmonics near the fundamental frequency. To test the effectiveness of the proposed scheme, the system is verified with various Power Quality Disturbances as per IEEE standards encountered in power system are considered here.
목차
Abstract
1. Introduction
2. Summary of TQWT Theory
2.1. Filter Bank
2.2. TQWT Parameters
2.3. TQWT Wavelets and Frequency Responses
3. TQWT Based Method to Analyze Power Quality Phenomena
3.1. Sag PQD Event
3.2. Swell PQD Event
3.3. Interruption PQD Event
3.4. FlickerPQD Event
3.5. Oscillatory Transient PQD Event
3.6. Harmonic PQD Event
3.7. Sag+Harmonic PQD Event
3.8. Swell +Harmonic PQD Event
3.9. Notch PQD Event
3.10. Spike PQD Event
4. Conclusions
References
1. Introduction
2. Summary of TQWT Theory
2.1. Filter Bank
2.2. TQWT Parameters
2.3. TQWT Wavelets and Frequency Responses
3. TQWT Based Method to Analyze Power Quality Phenomena
3.1. Sag PQD Event
3.2. Swell PQD Event
3.3. Interruption PQD Event
3.4. FlickerPQD Event
3.5. Oscillatory Transient PQD Event
3.6. Harmonic PQD Event
3.7. Sag+Harmonic PQD Event
3.8. Swell +Harmonic PQD Event
3.9. Notch PQD Event
3.10. Spike PQD Event
4. Conclusions
References
키워드
저자정보
참고문헌
자료제공 : 네이버학술정보