Feedback Control of the DC/DC Converters for PV Source Emulation

Chapter
Part of the Green Energy and Technology book series (GREEN)

Abstract

This chapter deals with the design and realization of a DC/DC converter for PV emulating purposes. Once the appropriate model has been chosen, the I–V relationship is used to control a DC/DC converter whose output reproduces the behavior of the PV generator. This chapter contains the fundamentals of feedback control and an example of PV emulator design, realized by a buck converter. In particular, both the model and the converter are first simulated in Matlab-Plecs® environment, then the practical implementation of the control algorithm on a DSP board, and the overall PV emulator equipment is illustrated and finally the experimental results are presented.

Keywords

Attenuation Assure Polypropylene TCPA 

Bibliography

  1. Bolzern P, Scattolini R, Schiavoni N (2008) Fondamenti di controlli automatici, McGraw Hill, 3rd ednGoogle Scholar
  2. D’Azzo JJ, Houpis C (1995) Linear control system analysis and design. Mc Graw Hill, NY, USAGoogle Scholar
  3. Di Piazza MC, Vitale G (2010) Photovoltaic field emulation including dynamic and partial shadow conditions. Appl Energy 3(87):814–823CrossRefGoogle Scholar
  4. Hercog D, Curkovic M, Edelbaher G, Urlep E (2003) Programming of the DSP2 board with the Matlab/Simulink. In: Proceedings IEEE international conference industrial technology, Vol.2 pp 709–713 Google Scholar
  5. Ioannidis G, Kandiais A, Manias SN (1998) Novel control design for the buck converter. IEEE Proc Electron Power Appl 145(1):39–47CrossRefGoogle Scholar
  6. Li Q, Zhoun K (2010) Introduction to feedback control. Prentice hall, Upper Saddle River, NJ, USAGoogle Scholar
  7. Ollila J (1995) A medium power PV-array simulator with a robust control strategy. In: Proceedings IEEE power electron specific conference pp 40–45Google Scholar

Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Institute of Intelligent Systems for AutomationNational Research CouncilPalermoItaly

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