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Steady state modeling and fuzzy logic based analysis of wind driven single phase induction generators

Author

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  • Velusami, S.
  • Singaravelu, S.

Abstract

This paper describes a new generalized and efficient model using graph theory and fuzzy logic based steady state analysis of wind driven single phase single winding self-excited induction generator (SEIG) with or without series compensation. Steady state generalized model of single phase SEIG is formulated using nodal admittance method based on graph theory. This dispenses with tedious work of segregating real and imaginary components of the complex impedance of induction generator for deriving the specific models for each operating mode. Graph theory based matrix equations are easier to modify in order to account for specific effects such as short/long-shunt, core-loss, etc. The resulting equations have excellent symmetry which makes the analysis very easy, fast and accurate. The matrix equations developed by nodal admittance method are solved by fuzzy logic technique to predetermine the steady state performance of single phase SEIG. The experimental and theoretical results are found to be in close agreement.

Suggested Citation

  • Velusami, S. & Singaravelu, S., 2007. "Steady state modeling and fuzzy logic based analysis of wind driven single phase induction generators," Renewable Energy, Elsevier, vol. 32(14), pages 2386-2406.
    • Handle: RePEc:eee:renene:v:32:y:2007:i:14:p:2386-2406
    DOI: 10.1016/j.renene.2006.09.002
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    Citations

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    Cited by:

    1. Hannan, M.A. & Lipu, M.S. Hossain & Ker, Pin Jern & Begum, R.A. & Agelidis, Vasilios G. & Blaabjerg, F., 2019. "Power electronics contribution to renewable energy conversion addressing emission reduction: Applications, issues, and recommendations," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Farooqui, Suhail Zaki, 2012. "Conversion of squirrel cage induction motors to wind turbine PMG," Renewable Energy, Elsevier, vol. 41(C), pages 345-349.
    3. Singh, G.K. & Senthil Kumar, A. & Saini, R.P., 2010. "Selection of capacitance for self-excited six-phase induction generator for stand-alone renewable energy generation," Energy, Elsevier, vol. 35(8), pages 3273-3283.
    4. Suganthi, L. & Iniyan, S. & Samuel, Anand A., 2015. "Applications of fuzzy logic in renewable energy systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 48(C), pages 585-607.
    5. Ion, Catalin Petrea & Marinescu, Corneliu, 2013. "Three-phase induction generators for single-phase power generation: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 73-80.

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