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ANFIS-Based Controller for DFIG-Based Tidal Current Turbine to Improve System Stability

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Proceedings of the International Conference on Signal, Networks, Computing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 396))

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Abstract

This paper presents ANFIS-based control for DFIG-based Tidal Current Turbine for stability improvement of offshore hybrid power system. The small signal transfer function models of DFIG-based tidal turbines are considered and an ANFIS control is proposed in order to improve the stability of converter lying in both grid end and generator end. The simulink model has been created in MATLAB and after proper simulation the effectiveness of the compensator is achieved.

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References

  1. Hamed H. Aly, El-Hawary M. E.: An Overview of Offshore Wind Electrical Energy Systems, 23rd Annual Canadian IEEE Conference on Electrical and Computer Engineering, Calgary, Alberta, Canada, May 2–5, 2010.

    Google Scholar 

  2. Yazhou Lei, Alan Mullane, Gordon Lightbody, Yacamini Robert,: Modeling of the Wind Turbine with a Doubly Fed Induction Generator for Grid Integration Studies, IEEE Transaction on Energy Conversion, Vol. 28, No. 1, March 2006.

    Google Scholar 

  3. Hamed H. H. Aly, and El-Hawary, M. E.: Small Signal Stability Analysis of Tidal In-Stream Turbine Using DDPMSG with and without Controller, 5th IEEE Annual Electrical Power and Energy Conference, Winnipeg, Canada, 2011.

    Google Scholar 

  4. Wu, F., Zhang, X.-P., Ju P.:, Small signal stability analysis and control of the wind turbine with the direct-drive permanent magnet generator integrated to the grid, Journal of Electric Power and Engineering Research, 2009.

    Google Scholar 

  5. Wu, F., Zhang, X.-P., Ju, P.,: Small signal stability analysis and optimal control of a wind turbine with doubly fed induction generator, IET Journal of Generation, Transmission and Distribution, 2007.

    Google Scholar 

  6. Kundur, Prabha.,: Power System Stability and Control, McGraw-Hill, Inc. USA, 1994.

    Google Scholar 

  7. Khutia, SR., panda S, Sidhartha.,: ANFIS approach for SSSC controller design for the improvement of transient stability performance. Math Comput Model 57:289–300, 2013.

    Google Scholar 

  8. Roger Jang., Jyh-Shing., ANFIS: Adaptive-Network-Based Fuzzy Inference System, IEEE Trans. Syst. Man and Cyber., 23, (3), pp. 665–685, 1993.

    Google Scholar 

  9. Mohanty Asit., Viswavandya Meera., Ray Prakash., Patra Sandeepan: Stability Analysis and Reactive Power Compensation Issue in a Micro grid with a DFIG based WECS. International journal of Electrical power and energy systems; Elsevier Science, 2014.

    Google Scholar 

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Correspondence to Asit Mohanty .

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© 2016 Springer India

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Mohanty, A., Viswavandya, M., Mohanty, S., Paramita, P. (2016). ANFIS-Based Controller for DFIG-Based Tidal Current Turbine to Improve System Stability. In: Lobiyal, D., Mohapatra, D., Nagar, A., Sahoo, M. (eds) Proceedings of the International Conference on Signal, Networks, Computing, and Systems. Lecture Notes in Electrical Engineering, vol 396. Springer, New Delhi. https://doi.org/10.1007/978-81-322-3589-7_12

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  • DOI: https://doi.org/10.1007/978-81-322-3589-7_12

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-3587-3

  • Online ISBN: 978-81-322-3589-7

  • eBook Packages: EngineeringEngineering (R0)

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