Stochastic Distribution Controller for Wind Turbines with Doubly Fed Induction Generator

  • Vijayalaxmi Munisamy Department of Electrical and Electronics Engineering, College of Engineering, Guindy, Anna University, Chennai, India
  • Nayagam Shanmuga Vadivoo Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, India
  • Vaithilingam Devasena Department of Electrical and Electronics Engineering, College of Engineering, Guindy, Anna University, Chennai, India
Keywords: PI controller, Probability distribution, Reactive power control, Stochastic processes, Wind turbine

Abstract

The major purpose of this work is to design the controllers for controlling the variable speed, variable pitch wind turbine (WT) with doubly fed induction generator (DFIG). Vector control strategy is adopted for controlling the DFIG active and reactive power. Generator torque is control to provide the regulated real power with minimum fluctuation. The fixed gain proportional-integral (PI) controller designed to the converter of rotor side and grid side has limited operating range and inherent overshoot. Gain scheduling PI controller is designed to minimize the overshoot and fluctuation exists in proportional-integral controller. Since DFIG based wind energy conversion system (WECS) works in uncertain wind speed, stochastic distribution control (SDC) method is proposed to control the probability distribution function (PDF) of DFIG based WECS. It copes with nonlinearities in the WECS and contiguous variations at operating point and provides satisfactory performance for the whole operating region. It improves the performance together with power quality of generated electric power thereby maximizing the lifespan of installation and ensures secure and acceptable operation of the DFIG based WECS.

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Author Biographies

Vijayalaxmi Munisamy, Department of Electrical and Electronics Engineering, College of Engineering, Guindy, Anna University, Chennai, India

Vijayalaxmi Munisamy received B.E Degree in EEE from RVS College of Engineering, Dindigul, affliated to Madurai Kamaraj University, Tamilnadu in 2000. M.Tech Degree in Process Control and Instrumentation from National Institute of Technology, Trichy, affiliated to Bharathidasan University, Tamilnadu in 2002. She is working as Assistant Professor in the Department of EEE, College of Engineering, Guindy, Anna University, Chennai. Completed Ph.D. in Control Systems from Faculty of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, Anna University in 2018. Her research interest includes control systems, Renewable Energy, Electrical Machines and Measurement and Instrumentation.

Nayagam Shanmuga Vadivoo, Department of Electrical and Electronics Engineering, Thiagarajar College of Engineering, Madurai, India

Nayagam Shanmuga Vadivoo received B.E Degree in EEE from Thiagarajar College of Engineering, Madurai, Tamilnadu, in 1993. M.E Degree in Power Systems from Thiagarajar College of Engineering, Madurai, Tamilnadu in 1994. Completed Ph.D in the Faculty of Electrical and Electronics Engineering from Madurai Kamaraj University, Tamilnadu in 2009. She is working as Professor in the Department of EEE, Thiagarajar College of Engineering, Madurai, Tamilnadu. Her research interest includes Power systems, Renewable Energy, Distributed Generation and soft computing techniques.

Vaithilingam Devasena, Department of Electrical and Electronics Engineering, College of Engineering, Guindy, Anna University, Chennai, India

Vaithilingam Devasena received B.E degree in Electronics and Instrumentation Engineering from Arunai Engineering College, Thiruvannamalai, Tamilnadu in 2012. M.E degree in Control and Instrumentation from College of Engineering, Guindy, Anna Univesity, Chennai in 2016. Her research interest includes Control systems, Measurements and Instrumentation and Renewable Energy.

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Published
2021-04-30
Section
Articles