Loading...

Linear multi-variable control technique for smart power management of wind turbines

Emami, S. A ; Sharif University of Technology | 2012

1268 Viewed
  1. Type of Document: Article
  2. Publisher: 2012
  3. Abstract:
  4. Variable speed wind turbines are widely used in the modern power industry. These turbines that are usually driven by doubly fed induction generators (DFIG) contain two groups of controlling variables; mechanical variables like pitch angle, and electrical variables like rotor voltage. During the turbine operation, with variable wind speed, power must be managed in two different regimes; power optimization and power limitation. In the current research, initially a non-linear simulation, based on the general wind turbine dynamic model is presented. Then, the desired controllers for both pitch angle and generator voltage components are constructed. To validate turbine behavior and controller robustness, a general wind model is utilized that is able to model most of the climatic events. It is shown that control parameters can easily adapt to obtain the desired and steady output power from the turbine
  5. Keywords:
  6. Doubly Fed Induction Generator (DFIG) ; Maximum Power Point Tracking (MPPT) ; Wind Turbine ; Climatic events ; Control parameters ; Controller robustness ; Doubly fed induction generators ; Maximum Power Point Tracking ; Multivariable control ; Nonlinear simulations ; Pitch angle ; Power industry ; Power limitations ; Power Optimization ; Rotor voltage ; Smart power ; Steady output ; Turbine operation ; Variable speed wind turbines ; Wind models ; Wind speed ; Asynchronous generators ; Controllers ; Electric fault currents ; Energy management ; Mechatronics ; Wind turbines ; Multivariable systems
  7. Source: 2012 International Conference onAdvanced Mechatronic Systems, ICAMechS 2012 ; 2012 , Pages 559-564 ; 9780955529382 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6329642&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6329642