A Comparison of Two DFT Algorithms for Power Measurement
碩士 === 國立中山大學 === 電機工程學系 === 87 === Electric power instrumentation and measurement play an important role in many power applications, such as system monitoring, power factor improvement and direct load control. Dedicated instruments for simple measurement have been replaced by intelligent electronic...
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ndltd-TW-087NSYSU4420132016-07-11T04:13:19Z http://ndltd.ncl.edu.tw/handle/60913912681560674047 A Comparison of Two DFT Algorithms for Power Measurement 用於電力參數計算之兩種離散fourier轉換的比較 Ion-Jean Huang 黃詠靖 碩士 國立中山大學 電機工程學系 87 Electric power instrumentation and measurement play an important role in many power applications, such as system monitoring, power factor improvement and direct load control. Dedicated instruments for simple measurement have been replaced by intelligent electronic devices that are capable of measuring normal and transient state behaviors. Digital and frequency domain analysis techniques have been introduced for power quality monitoring. This thesis explores possible applications of Goertzel Filter in electric power measurements. Comparisons of FFT and Goertzel Filter algorithms are given. Simulation results have indicated that with high speed digital signal processor Goertzel Filter is able to provide harmonic spectrum in a real time fashion. The calculated spectrum can then be used to calculate many power components under sinusoidal and nonsinusoidal situations. Chan-Nan Lu 盧展南 1999 學位論文 ; thesis 74 zh-TW |
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碩士 === 國立中山大學 === 電機工程學系 === 87 === Electric power instrumentation and measurement play an important role in many power applications, such as system monitoring, power factor improvement and direct load control. Dedicated instruments for simple measurement have been replaced by intelligent electronic devices that are capable of measuring normal and transient state behaviors. Digital and frequency domain analysis techniques have been introduced for power quality monitoring. This thesis explores possible applications of Goertzel Filter in electric power measurements. Comparisons of FFT and Goertzel Filter algorithms are given. Simulation results have indicated that with high speed digital signal processor Goertzel Filter is able to provide harmonic spectrum in a real time fashion. The calculated spectrum can then be used to calculate many power components under sinusoidal and nonsinusoidal situations.
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author2 |
Chan-Nan Lu |
author_facet |
Chan-Nan Lu Ion-Jean Huang 黃詠靖 |
author |
Ion-Jean Huang 黃詠靖 |
spellingShingle |
Ion-Jean Huang 黃詠靖 A Comparison of Two DFT Algorithms for Power Measurement |
author_sort |
Ion-Jean Huang |
title |
A Comparison of Two DFT Algorithms for Power Measurement |
title_short |
A Comparison of Two DFT Algorithms for Power Measurement |
title_full |
A Comparison of Two DFT Algorithms for Power Measurement |
title_fullStr |
A Comparison of Two DFT Algorithms for Power Measurement |
title_full_unstemmed |
A Comparison of Two DFT Algorithms for Power Measurement |
title_sort |
comparison of two dft algorithms for power measurement |
publishDate |
1999 |
url |
http://ndltd.ncl.edu.tw/handle/60913912681560674047 |
work_keys_str_mv |
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