Title page for etd-0227115-172213


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URN etd-0227115-172213
Author Tao-an Hsu
Author's Email Address No Public.
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Department Electrical Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Maximum Power Point Tracking for Photovoltaic Generations with Solar Irradiance and Temperature Estimation
Date of Defense 2015-03-13
Page Count 105
Keyword
  • Photovoltaic Generation
  • Maximum Power Point Tracking
  • State Estimation
  • Perturbation and Observation
  • Abstract The output power of Photovoltaic Generations (PVGs) varies with solar irradiance and temperature nonlinearly. Therefore, the Maximum Power Point Tracking (MPPT) is very important to operate PVG to harvest the maximum solar energy in real time. However, it is difficult to find the maximum power point in the rapidly changing weather conditions with minimal loss. This thesis proposes a state-estimation-based MPPT for PVGs. Based on the measured voltages and currents and the characteristic output function of PVG, the proposed MPPT uses state estimation to calculate the solar irradiance and temperature directly. The operating voltage of maximum power point can also be found immediately. The proposed MPPT can effectively reduce the maximum power tracking time of conventional MPPT methods and increase the harvested powers during MPPT. Simulation and experimental results comparing the proposed MPPT to a Perturbation and Observation (P&O) MPPT demonstrate the performance achieved by the proposed MPPT.
    Advisory Committee
  • Yi-Hua Liu - chair
  • Rong-Ceng Leou - co-chair
  • Chun-Lien Su - co-chair
  • Jen-Hao Teng - advisor
  • Files
  • etd-0227115-172213.pdf
  • Indicate in-campus at 99 year and off-campus access at 99 year.
    Date of Submission 2015-03-27

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