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A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine

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  • Deraz, S.A.
  • Abdel Kader, F.E.

Abstract

This paper presents a new control strategy of a stand-alone self-excited induction generator (SEIG) driven by a variable speed wind turbine. The proposed system consists of a three phase squirrel-cage induction machine connected to a wind turbine through a step-up gear box. A current controlled voltage source inverter (CC–VSI) with an electronic load controller (ELC) is connected in parallel with the main consumer load to the AC terminals of the induction machine. The proposed control strategy is based on fuzzy logic control principles which enhance the dynamic performance of the proposed system. Three fuzzy logic PI controllers and one hysteresis current controller (HCC) are used to extract the maximum available energy from the wind turbine as well as to regulate the generator terminal voltage simultaneously against wind speed and main load variations. However, in order to extract the maximum available energy from the turbine over a wide range of wind speeds, the captured energy is limited due to electrical constraints. Therefore the control strategy proposed three modes of control operation. The steady state characteristics of the proposed system are obtained and examined in order to design the required control parameters. The proposed system is modeled and simulated using Matlab/Simulink software program to examine the dynamic characteristics of the system with proposed control strategy. Dynamic simulation results demonstrate the effectiveness of the proposed control strategy.

Suggested Citation

  • Deraz, S.A. & Abdel Kader, F.E., 2013. "A new control strategy for a stand-alone self-excited induction generator driven by a variable speed wind turbine," Renewable Energy, Elsevier, vol. 51(C), pages 263-273.
    • Handle: RePEc:eee:renene:v:51:y:2013:i:c:p:263-273
    DOI: 10.1016/j.renene.2012.09.010
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    References listed on IDEAS

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    1. Joselin Herbert, G.M. & Iniyan, S. & Sreevalsan, E. & Rajapandian, S., 2007. "A review of wind energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(6), pages 1117-1145, August.
    2. Ackermann, Thomas & Söder, Lennart, 2002. "An overview of wind energy-status 2002," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(1-2), pages 67-127.
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    Cited by:

    1. Carunaiselvane, C. & Chelliah, Thanga Raj, 2017. "Present trends and future prospects of asynchronous machines in renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1028-1041.
    2. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    3. 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.
    4. Nachat N. Nasser & Mohamed E. A. Farrag, 2018. "Power Management of Islanded Self-Excited Induction Generator Reinforced by Energy Storage Systems," Energies, MDPI, vol. 11(2), pages 1-14, February.

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