• DocumentCode
    26790
  • Title

    DSP-Based Hands-On Laboratory Experiments for Photovoltaic Power Systems

  • Author

    Muoka, Polycarp I. ; Haque, Md Enamul ; Gargoom, Ameen ; Negnevitsky, Michael

  • Author_Institution
    Centre for Renewable Energy & Power Syst., Univ. of Tasmania, Hobart, TAS, Australia
  • Volume
    58
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    39
  • Lastpage
    47
  • Abstract
    This paper presents a new photovoltaic (PV) power systems laboratory module that was developed to experimentally reinforce students´ understanding of design principles, operation, and control of photovoltaic power conversion systems. The laboratory module is project-based and is designed to support a renewable energy course. By using MATLAB real-time software tools in combination with digital signal processor (DSP) hardware tools, the module enables students to: 1) design and build dc-dc and dc-ac power converters; 2) design and implement control algorithms for maximum power point tracking (MPPT) and voltage and current regulation; and 3) design and fabricate a printed circuit board for voltage and current sensing, isolation, and gate driving. In these hands-on experiments, by designing and building their hardware and software integrated systems themselves, students learn by doing and experience the engineering transformative process of building a product out of an idea. This paper is motivated by the dearth of literature on the application of project-based learning methodology to PV systems. The module description, the pedagogical and evaluation methodologies adopted, and reflections on the implementations are discussed.
  • Keywords
    DC-AC power convertors; DC-DC power convertors; digital signal processing chips; maximum power point trackers; photovoltaic power systems; printed circuits; DSP hardware tools; DSP-based hands-on laboratory; MATLAB real-time software tools; PV systems; current sensing; dc-ac power converters; dc-dc power converters; design principles; digital signal processor hardware; hardware integrated systems; maximum power point tracking; photovoltaic power conversion systems; photovoltaic power systems laboratory module; project-based learning methodology; software integrated systems; voltage sensing; Laboratories; Logic gates; Sensors; Software; Switches; Voltage control; dc–dc power conversion; digital signal processors; energy conversion; photovoltaic power systems;
  • fLanguage
    English
  • Journal_Title
    Education, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9359
  • Type

    jour

  • DOI
    10.1109/TE.2014.2323937
  • Filename
    6823188