Power System Load Frequency Control in the Presence of Wind Turbines

Ashoori Zadeh, Alireza | 2014

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47190 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. This study presents the application of the doubly fed induction generator (DFIG) to reduce the frequency deviation and improve frequency of a power system. This has been done by proposing a wind turbine model and a new fuzzy controller. The fuzzy controller has been suggested to change the speed of the wind turbine rotor and modify the impacts of wind speed fluctuations on the output power. The fuzzy controller parameters are optimized using the genetic algorithm (GA) to achieve the appropriate transient response. A smart controller is combined with fuzzy controller to optimize the usage of wind turbine’s kinetic energy. Furthermore, the DFIG with the proposed controller participates in the power system load frequency control (LFC) and reduces the amount of the power system frequency deviation. To verify the efficiency of the proposed controller, a comparison between the wind turbine output power with and without the controller is carried out. Moreover, some time domain simulations are performed on the standard 39-bus test power system to evaluate the impacts of controller on the power system LFC. Results are compared with the common controllers in the case of serious load disturbance and confirm the effectiveness of the proposed controller
  9. Keywords:
  10. Load-Frequency Control ; Fuzzy Control ; Genetic Algorithm ; Doubly Fed Induction Generator (DFIG) ; Wind Energy Conversion System (WECS) ; Frequency Deviation

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