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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Main Authors: Chun-Yen Hsu, 徐峻彥
Other Authors: Yi-Hua Liu
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/62cp2b
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spelling 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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language zh-TW
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description 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.
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
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