Title page for etd-0806116-214425


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URN etd-0806116-214425
Author DEVITA AYU LARASATI
Author's Email Address No Public.
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Department Department of Electrical Engineering
Year 2016
Semester 1
Degree Master
Type of Document
Language English
Title Comparative Analysis of Maximum Power Point Tracking Techniques for Photovoltaic Systems
Date of Defense 2016-08-31
Page Count 82
Keyword
  • Photovoltaic Generation
  • Maximum Power Point Tracking
  • Particle Swarm Optimization
  • Perturb and Observe
  • Abstract ABSTRACT
    Maximum Power Point Tracking (MPPT) plays an important role in Photovoltaic Generation (PVG) systems because it maximizes the power output from a PVG system. Thus, an MPPT can minimize the overall system cost. MPPT operates a PVG system under different solar irradiances and temperatures. Many such algorithms have been proposed. This thesis provides a comparison between Perturb and Observe (P&O) method, and Particle Swarm Optimization (PSO) method with the weather data from Taiwan Weather Bureau. Matrix Laboratory (MATLAB) programming by using real data is implemented for a PVG system with a rated output of 200 W energy to obtain the curve performance and the unharvest energy for different the MPPT algorithms.
    Advisory Committee
  • Cheng-Ting Hsu - chair
  • Rong-Ceng Leou - co-chair
  • Chun-Lien Su - co-chair
  • Jen-Hao Teng - advisor
  • Files
  • etd-0806116-214425.pdf
  • indicate access worldwide
    Date of Submission 2016-09-07

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