Title page for etd-0004117-170758


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URN etd-0004117-170758
Author Shun-Yi Liu
Author's Email Address No Public.
Statistics This thesis had been viewed 5583 times. Download 34 times.
Department Electrical Engineering
Year 2016
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Distributed Maximum Power Point Tracking for Serial Photovoltaic Panels with Partial Power Regulation
Date of Defense 2016-12-18
Page Count 71
Keyword
  • Serial Photovoltaic Panels
  • Partial Power Regulation
  • Partial Shaded Condition
  • System Global Maximum Power Point Tracking (SGMPPT)
  • Abstract To improve the power utilization of photovoltaic (PV) system, this thesis proposes a circuit topology with partial power regulation based on distributed maximum power point tracking (DMPPT). The DMPPT is performed on each PV panel by regulating a part of generated power through the attached fly-back converter. By carefully taking account for the efficiencies of the fly-back converters, the system global maximum power point (SGMPP) can be exactly estimated. As the partially shaded condition on the serial PV panels changes, the SGMPP can be re-estimated with the new voltages and currents on the PV panels.
    To verify the theoretical analyses of the proposed approach, a laboratory system formed by three serial PV panels with the associated fly-back converters is set up for experimental tests. The tested results demonstrate that the system is capable of executing partial power regulation to track the estimated SGMPP and under partially shaded conditions. As compared to the PV system with PV panels connected directly in series and the conventional DMPPT topology, the proposed approach can achieve a higher power utilization of the PV system with accurate SGMPP estimation.
    Advisory Committee
  • Yao-Ching Hsieh - chair
  • Shiang-Hwua Yu - co-chair
  • Ching-Ran Lee - co-chair
  • Chin-Sien Moo - advisor
  • Files
  • etd-0004117-170758.pdf
  • Indicate in-campus at 3 year and off-campus access at 3 year.
    Date of Submission 2017-01-04

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