Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions
碩士 === 中原大學 === 電機工程研究所 === 105 === The photovoltaic panels have plural operational regions for power generation under partial shading conditions, such that the traditional maximum power point tracking(MPPT) methods will lead to local maximum power generation. To obtain the global maximum power gene...
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ndltd-TW-105CYCU54420052019-05-15T23:16:31Z http://ndltd.ncl.edu.tw/handle/hukgvj Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions 太陽能遮罩效應下之市電併聯系統最大功率點追蹤 Cheng-Hao Wang 王政皓 碩士 中原大學 電機工程研究所 105 The photovoltaic panels have plural operational regions for power generation under partial shading conditions, such that the traditional maximum power point tracking(MPPT) methods will lead to local maximum power generation. To obtain the global maximum power generation, this thesis proposes a hybrid method by combining Shuffled Frog Leaping Algorithm(SFLA) and Perturb and Observe(P&O) algorithm. A grid-tied PV power generation system is taken as the application, where a boost converter and a full-bridge inverter are used to transfer the PV power for grid-tied systems. Moreover, the neural network based on fractional-order PI current control is used for the current regulation of the full-bridge inverter. Finally, numerical simulation and experimental results show the expected performance of the global maximum power point tracking under partial shading conditions. Chian-Song Chiu 邱謙松 2016 學位論文 ; thesis 63 zh-TW |
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碩士 === 中原大學 === 電機工程研究所 === 105 === The photovoltaic panels have plural operational regions for power generation under partial shading conditions, such that the traditional maximum power point tracking(MPPT) methods will lead to local maximum power generation. To obtain the global maximum power generation, this thesis proposes a hybrid method by combining Shuffled Frog Leaping Algorithm(SFLA) and Perturb and Observe(P&O) algorithm. A grid-tied PV power generation system is taken as the application, where a boost converter and a full-bridge inverter are used to transfer the PV power for grid-tied systems. Moreover, the neural network based on fractional-order PI current control is used for the current regulation of the full-bridge inverter. Finally, numerical simulation and experimental results show the expected performance of the global maximum power point tracking under partial shading conditions.
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Chian-Song Chiu |
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Chian-Song Chiu Cheng-Hao Wang 王政皓 |
author |
Cheng-Hao Wang 王政皓 |
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Cheng-Hao Wang 王政皓 Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
author_sort |
Cheng-Hao Wang |
title |
Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
title_short |
Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
title_full |
Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
title_fullStr |
Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
title_full_unstemmed |
Maximum Power Point Tracking for a Grid-Tied Photovoltaic Inverter System Under Partial Shading Conditions |
title_sort |
maximum power point tracking for a grid-tied photovoltaic inverter system under partial shading conditions |
publishDate |
2016 |
url |
http://ndltd.ncl.edu.tw/handle/hukgvj |
work_keys_str_mv |
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