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Variable Universe Adaptive Fuzzy-PI Compound Control Applied in Maximum Power Point Tracking for Photovoltaic Energy Generation System

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Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 93))

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Abstract

The output power of photovoltaic(PV) energy generation depends on varies with solar radiation, atmospheric temperature and loads etc. And based on the nonlinear characteristics of photovotaic(PV), to maximize the efficiency of the PV generation system, it is necessary track maximum power point(MPP) of the PV module all the time.In this paper, a method of maximum power point tracking(MPPT) control using variable universe adaptive fuzzy-PI compound control is introduced, when the power deviation is large,use PI control rapidly reduce the deviation, then use variable universe adaptive fuzzy algorithm achieve precise control.The MPPT control system for PV energy generation based on the variable universee adaptive Fuzzy-PI compound controller is designed. The simulation experiment results are present, and proved the system can track the MPP of PV modules rapidly and improves the energy conversion efficiency when the envionment changes quickly.

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References

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Authors and Affiliations

  1. Department of Electronic & Information Engineering, Suzhou Vocational Universeity, Suzhou, 215104, Jiangsu, China

    Fengwen Cao & Yiwang Wang

Authors
  1. Fengwen Cao
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  2. Yiwang Wang
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui,, China

    De-Shuang Huang

  2. School of Computing and Intelligent Systems, University of Ulster at Magee Campus, BT48 7JL, Derry, Northern Ireland, UK

    Martin McGinnity

  3. Laboratoire LITIS, Université de Rouen, 76800, Saint Etienne du Rouvray, France

    Laurent Heutte

  4. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Xiao-Ping Zhang

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© 2010 Springer-Verlag Berlin Heidelberg

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Cao, F., Wang, Y. (2010). Variable Universe Adaptive Fuzzy-PI Compound Control Applied in Maximum Power Point Tracking for Photovoltaic Energy Generation System. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_67

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  • DOI: https://doi.org/10.1007/978-3-642-14831-6_67

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14830-9

  • Online ISBN: 978-3-642-14831-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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