An Indirect Adaptive Control Paradigm for Wind Generation Systems

  • Tariq KamalEmail author
  • Murat Karabacak
  • Syed Zulqadar Hassan
  • Luis M. Fernández Ramírez
  • Indrek Roasto
  • Laiq Khan
Part of the Power Systems book series (POWSYS)


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.



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.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Tariq Kamal
    • 1
    • 2
    Email author
  • Murat Karabacak
    • 3
  • Syed Zulqadar Hassan
    • 4
  • Luis M. Fernández Ramírez
    • 5
  • Indrek Roasto
    • 6
  • Laiq Khan
    • 7
  1. 1.Faculty of Engineering, Department of Electrical and Electronics EngineeringSakarya UniversitySakaryaTurkey
  2. 2.Department of Electrical Engineering, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP023)Higher Polytechnic School of Algeciras, University of CádizCádizSpain
  3. 3.Department of Electrical and Electronics EngineeringFaculty of Technology, Sakarya University of Applied SciencesSakaryaTurkey
  4. 4.School of Electrical EngineeringChongqing UniversityChongqingChina
  5. 5.Department of Electrical Engineering, Research Group in Electrical Technologies for Sustainable and Renewable Energy (PAIDI-TEP-023)University of CádizEPS Algeciras, Algeciras (Cádiz)Spain
  6. 6.Department of Electrical Power Engineering and MechatronicsTallinn University of Technology (TalTech)TallinnEstonia
  7. 7.Department of Electrical EngineeringCOMSATS University Islamabad, Abbottabad CampusKhyber PakhtunkhwaPakistan

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