研究生: |
Fatma Selin Bagci Fatma Selin Bagci |
---|---|
論文名稱: |
Low Power Energy Harvesting with Parallel Differential Power Processing for Photovoltaic-Powered Wearable Applications Low Power Energy Harvesting with Parallel Differential Power Processing for Photovoltaic-Powered Wearable Applications |
指導教授: |
劉益華
Yi-Hua Liu 金藝璘 Katherine A. Kim |
口試委員: |
邱煌仁
Huang-Jen Chiu 陳景然 Jim Chen 劉益華 Yi-Hua Liu 金藝璘 Katherine A. Kim |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電機工程系 Department of Electrical Engineering |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 45 |
中文關鍵詞: | dc-dc converter 、differential power processing 、energy harvesting 、photovoltaic systems 、maximum power point tracking 、wearables |
外文關鍵詞: | dc-dc converter, differential power processing, energy harvesting, photovoltaic systems, maximum power point tracking, wearables |
相關次數: | 點閱:307 下載:1 |
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Solar power is a viable energy source for many emerging wearable applications. However, such applications tend to experience varying light intensities over multiple photovoltaic (PV) cells which reduce PV power generation in traditional PV panel and power converter configurations. The concept of differential power processing (DPP) system configuration has been introduced as the key to optimize PV power utilization under nonuniform lighting conditions. Both series and parallel DPP configurations are able to compensate for illuminance mismatch across the PV panels.
This thesis focuses on development of alternative parallel differential power processing approaches and control strategies for low power wearable PV applications. A single-ended primary-inductor converter (SEPIC) and an inverted buck-boost converter were designed and implemented as parallel DPP converters. System efficiency of the DPP SEPIC architecture shows an improvement of 29.3 % compared to the efficiency of the SEPIC alone. Whereas a 27.4 % increase in efficiency was observed with the DPP inverted buck-boost converter architecture in comparison to the efficiency of the converter by itself. When compared to each other, DPP buck-boost converter exhibits a better performance than DPP SEPIC over the full operating range.
In order to balance PV source and load power, a system control strategy that alternates between two modes was implemented; accomplishing both maximum power point tracking (MPPT) and power curtailment when it’s needed. Experimental results verify the control algorithm achieves independent MPPT of each panel and succeeds in maximizing and successfully balancing the power while keeping the maximum temperature of the converter below 37 ℃.
Solar power is a viable energy source for many emerging wearable applications. However, such applications tend to experience varying light intensities over multiple photovoltaic (PV) cells which reduce PV power generation in traditional PV panel and power converter configurations. The concept of differential power processing (DPP) system configuration has been introduced as the key to optimize PV power utilization under nonuniform lighting conditions. Both series and parallel DPP configurations are able to compensate for illuminance mismatch across the PV panels.
This thesis focuses on development of alternative parallel differential power processing approaches and control strategies for low power wearable PV applications. A single-ended primary-inductor converter (SEPIC) and an inverted buck-boost converter were designed and implemented as parallel DPP converters. System efficiency of the DPP SEPIC architecture shows an improvement of 29.3 % compared to the efficiency of the SEPIC alone. Whereas a 27.4 % increase in efficiency was observed with the DPP inverted buck-boost converter architecture in comparison to the efficiency of the converter by itself. When compared to each other, DPP buck-boost converter exhibits a better performance than DPP SEPIC over the full operating range.
In order to balance PV source and load power, a system control strategy that alternates between two modes was implemented; accomplishing both maximum power point tracking (MPPT) and power curtailment when it’s needed. Experimental results verify the control algorithm achieves independent MPPT of each panel and succeeds in maximizing and successfully balancing the power while keeping the maximum temperature of the converter below 37 ℃.
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