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An Indirect Adaptive Control Paradigm for Wind Generation Systems

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Advanced Control and Optimization Paradigms for Wind Energy Systems

Part of the book series: Power Systems ((POWSYS))

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Abstract

Globally, there has been a significant evolution in the development of wind energy. Nevertheless, the major difference between the highly stochastic nature of wind speed and the desired demands regarding the electrical energy quality and system stability is the main concern in wind energy system. Hence, wind energy generation according to the standard parameters imposed by the power industry is unachievable without the essential involvement of advanced control technique. In this book chapter, a novel indirect adaptive control for wind energy systems is proposed considering real load demand and weather parameters. The performance of existing neuro-fuzzy scheme is improved further using a Hermite wavelet in the proposed architecture. The parameters of the controller are trained adaptively online via backpropagation algorithm. The proposed control law adopts the free direct control model which shorten the weight of the lengthy pre-learning, and memory requirements for real time application. Various computer simulation results and performance comparison indexes are given to show that the proposed control law is better in terms of efficiency, output power and steady-state performance over the existing state-of-the-art.

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Acknowledgements

The authors gratefully thank to Tallinn University of Technology and Archimedes Foundation for providing Dora Plus grant in the frame of the European Regional Development Funds Doctoral Studies and Internationalisation Programme.

Author information

Authors and Affiliations

  1. Faculty of Engineering, Department of Electrical and Electronics Engineering, Sakarya University, Sakarya, Turkey

    Tariq Kamal

  2. Department of Electrical Engineering, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP023), Higher Polytechnic School of Algeciras, University of Cádiz, Cádiz, Spain

    Tariq Kamal

  3. Department of Electrical and Electronics Engineering, Faculty of Technology, Sakarya University of Applied Sciences, Sakarya, Turkey

    Murat Karabacak

  4. School of Electrical Engineering, Chongqing University, Chongqing, China

    Syed Zulqadar Hassan

  5. Department of Electrical Engineering, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP-023), University of Cádiz, 11202, EPS Algeciras, Algeciras (Cádiz), Spain

    Luis M. Fernández Ramírez

  6. Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology (TalTech), Tallinn, Estonia

    Indrek Roasto

  7. Department of Electrical Engineering, COMSATS University Islamabad, Abbottabad Campus, Khyber Pakhtunkhwa, Pakistan

    Laiq Khan

Authors
  1. Tariq Kamal
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  2. Murat Karabacak
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  3. Syed Zulqadar Hassan
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  4. Luis M. Fernández Ramírez
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  5. Indrek Roasto
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  6. Laiq Khan
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Corresponding author

Correspondence to Tariq Kamal .

Editor information

Editors and Affiliations

  1. Faculty of Automation and Computers, “Politehnica” University of Timișoara, Timișoara, Romania

    Radu-Emil Precup

  2. Department of Electrical and Electronics Engineering, Sakarya University, Serdivan, Sakarya, Turkey

    Tariq Kamal

  3. School of Electrical Engineering, Chongqing University, Chongqing, China

    Syed Zulqadar Hassan

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Kamal, T., Karabacak, M., Hassan, S.Z., Fernández Ramírez, L.M., Roasto, I., Khan, L. (2019). An Indirect Adaptive Control Paradigm for Wind Generation Systems. In: Precup, RE., Kamal, T., Zulqadar Hassan, S. (eds) Advanced Control and Optimization Paradigms for Wind Energy Systems. Power Systems. Springer, Singapore. https://doi.org/10.1007/978-981-13-5995-8_10

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  • DOI: https://doi.org/10.1007/978-981-13-5995-8_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5994-1

  • Online ISBN: 978-981-13-5995-8

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