An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems
碩士 === 國立臺灣科技大學 === 電機工程系 === 107 === The solar panel is becoming an increasingly popular form of renewable energy due to its decreasing installation costs and environmental friendliness. When the photovoltaic generation system (PGS) is installed in an area where the insolation changes rapidly, the...
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ndltd-TW-107NTUS54420082019-05-16T01:40:46Z http://ndltd.ncl.edu.tw/handle/62cp2b An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems 適用於太陽能發電系統之PI調變式擾動觀察最大功率追蹤技術 Chun-Yen Hsu 徐峻彥 碩士 國立臺灣科技大學 電機工程系 107 The solar panel is becoming an increasingly popular form of renewable energy due to its decreasing installation costs and environmental friendliness. When the photovoltaic generation system (PGS) is installed in an area where the insolation changes rapidly, the maximum power point tracking (MPPT) technique is the key to make full use of the solar energy. This thesis implements the PI controlled perturb and observe (P&O) MPPT algorithm in order to solve the trade-off problem between the tracking speed and the steady state tracking accuracy of the traditional fixed-step P&O method. Compared to the traditional fixed-step P&O method and the variable step P&O method, the PI controlled P&O method can improve the tracking speed of the solar system by 58% and 55.8%, respectively. Moreover, the power loss of the solar system can be reduced by 44.8% and 37.2%, respectively. In addition, the effects of the tunable parameters – KP and KI – are also discussed in this thesis to facilitate the design of the realized PI controlled perturb and observe maximum power point tracking algorithm. Yi-Hua Liu 劉益華 2019 學位論文 ; thesis 81 zh-TW |
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碩士 === 國立臺灣科技大學 === 電機工程系 === 107 === The solar panel is becoming an increasingly popular form of renewable energy due to its decreasing installation costs and environmental friendliness. When the photovoltaic generation system (PGS) is installed in an area where the insolation changes rapidly, the maximum power point tracking (MPPT) technique is the key to make full use of the solar energy.
This thesis implements the PI controlled perturb and observe (P&O) MPPT algorithm in order to solve the trade-off problem between the tracking speed and the steady state tracking accuracy of the traditional fixed-step P&O method. Compared to the traditional fixed-step P&O method and the variable step P&O method, the PI controlled P&O method can improve the tracking speed of the solar system by 58% and 55.8%, respectively. Moreover, the power loss of the solar system can be reduced by 44.8% and 37.2%, respectively. In addition, the effects of the tunable parameters – KP and KI – are also discussed in this thesis to facilitate the design of the realized PI controlled perturb and observe maximum power point tracking algorithm.
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author2 |
Yi-Hua Liu |
author_facet |
Yi-Hua Liu Chun-Yen Hsu 徐峻彥 |
author |
Chun-Yen Hsu 徐峻彥 |
spellingShingle |
Chun-Yen Hsu 徐峻彥 An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
author_sort |
Chun-Yen Hsu |
title |
An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
title_short |
An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
title_full |
An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
title_fullStr |
An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
title_full_unstemmed |
An Adaptive PI Controlled Perturb and Observe Maximum Power Point Tracking Technique for Photovoltaic Generation Systems |
title_sort |
adaptive pi controlled perturb and observe maximum power point tracking technique for photovoltaic generation systems |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/62cp2b |
work_keys_str_mv |
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