• DocumentCode
    3109004
  • Title

    Holistic modeling, design and optimal digital control of a combined renewable power system

  • Author

    Tisan, Alin ; Cirstea, Marcian ; Buchman, Attila ; Parera, Alberto ; Oniga, Stefan ; Ilea, Danut

  • Author_Institution
    North Univ. of Baia Mare, Baia Mare, Romania
  • fYear
    2010
  • fDate
    4-7 July 2010
  • Firstpage
    2733
  • Lastpage
    2738
  • Abstract
    This paper deals with the holistic modeling approach of a combined Photovoltaic, Wind and Fuel Cell power system. The method is using the DK5 modeling/design environment from Mentor Graphics and is based on the new Handel-C programming language. The goal of the work carried out was to achieve an optimized holistic digital control system design, followed by its rapid prototyping into a single Field Programmable Gate Array (FPGA). This would also enable easy connection (by adapting the model/controller) to the grid. The holistic functional simulation of the system is performed in the same environment as its controller hardware implementation and timing analysis. The controller design was then downloaded in hardware onto a RC10 development board containing a Xilinx Spartan FPGA and was successfully tested experimentally. This approach enables the design and fast hardware implementation of efficient controllers for Distributed Energy Resource (DER) hybrid systems.
  • Keywords
    digital control; energy resources; field programmable gate arrays; fuel cell power plants; photovoltaic power systems; power grids; power system control; programming languages; wind power plants; DK5 modeling; Handel-C programming language; Mentor Graphics; RC10 development board; Xilinx Spartan FPGA; combined renewable power system; distributed energy resource; field programmable gate array; fuel cell power system; holistic digital control system; optimal digital control; photovoltaic power system; power grid; timing analysis; wind power system; Converters; Fuel cells; Generators; Load modeling; Mathematical model; Voltage control; Wind energy; FPGA; control systems; modeling; power systems; renewable energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2010 IEEE International Symposium on
  • Conference_Location
    Bari
  • Print_ISBN
    978-1-4244-6390-9
  • Type

    conf

  • DOI
    10.1109/ISIE.2010.5636986
  • Filename
    5636986