Journal article 22714 views
Pre-sampled data based prediction control for active power filters
International Journal of Electrical Power & Energy Systems, Volume: 37, Issue: 1, Pages: 13 - 22
Swansea University Author: Zhongfu Zhou
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DOI (Published version): 10.1016/j.ijepes.2011.10.029
Abstract
A prediction control was investigated of active power filter using pre-sampled data from previous fundamental cycle. Details of method was introduced. the advantages of the proposed method is eliminate the effect of time delay on the the filter performance. Details of hardware circuit and test resul...
Published in: | International Journal of Electrical Power & Energy Systems |
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ISSN: | 01420615 |
Published: |
2012
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URI: | https://cronfa.swan.ac.uk/Record/cronfa35021 |
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2017-10-11T10:59:34.4052606 v2 35021 2017-08-25 Pre-sampled data based prediction control for active power filters 614fc57cde2ee383718d4f4c462b5fba 0000-0002-0843-7253 Zhongfu Zhou Zhongfu Zhou true false 2017-08-25 EEEG A prediction control was investigated of active power filter using pre-sampled data from previous fundamental cycle. Details of method was introduced. the advantages of the proposed method is eliminate the effect of time delay on the the filter performance. Details of hardware circuit and test results were presented in the paper. Results show that the proposed prediction method is effective in compensation the phase delay of filter current. Journal Article International Journal of Electrical Power & Energy Systems 37 1 13 22 01420615 Active filter, Current control, Phase delay compensation, Harmonic current detection 9 1 2012 2012-01-09 10.1016/j.ijepes.2011.10.029 COLLEGE NANME Electronic and Electrical Engineering COLLEGE CODE EEEG Swansea University 2017-10-11T10:59:34.4052606 2017-08-25T16:07:35.6035407 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Zhongfu Zhou 0000-0002-0843-7253 1 Yanzhen Liu 2 |
title |
Pre-sampled data based prediction control for active power filters |
spellingShingle |
Pre-sampled data based prediction control for active power filters Zhongfu Zhou |
title_short |
Pre-sampled data based prediction control for active power filters |
title_full |
Pre-sampled data based prediction control for active power filters |
title_fullStr |
Pre-sampled data based prediction control for active power filters |
title_full_unstemmed |
Pre-sampled data based prediction control for active power filters |
title_sort |
Pre-sampled data based prediction control for active power filters |
author_id_str_mv |
614fc57cde2ee383718d4f4c462b5fba |
author_id_fullname_str_mv |
614fc57cde2ee383718d4f4c462b5fba_***_Zhongfu Zhou |
author |
Zhongfu Zhou |
author2 |
Zhongfu Zhou Yanzhen Liu |
format |
Journal article |
container_title |
International Journal of Electrical Power & Energy Systems |
container_volume |
37 |
container_issue |
1 |
container_start_page |
13 |
publishDate |
2012 |
institution |
Swansea University |
issn |
01420615 |
doi_str_mv |
10.1016/j.ijepes.2011.10.029 |
college_str |
Faculty of Science and Engineering |
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facultyofscienceandengineering |
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Faculty of Science and Engineering |
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facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering |
document_store_str |
0 |
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description |
A prediction control was investigated of active power filter using pre-sampled data from previous fundamental cycle. Details of method was introduced. the advantages of the proposed method is eliminate the effect of time delay on the the filter performance. Details of hardware circuit and test results were presented in the paper. Results show that the proposed prediction method is effective in compensation the phase delay of filter current. |
published_date |
2012-01-09T03:43:27Z |
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1763752026176487424 |
score |
11.016258 |