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Supervisory Model-based Predictive Control for Voltage Regulation of a Grid-Connected Wind Farm

Sabzi, Hadi | 2021

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54426 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Sadati, Nasser
  7. Abstract:
  8. Concerns about fossil fuels and the consequent effects of burning such fuels on the environment have drawn attention of different countries around the world to the development of renewable energy systems, and it has encouraged researchers to focus on expanding the methods of using different sources of renewable energy. One of the most important renewable energies is wind energy, which is generated by wind turbines. A cluster of wind turbines forms a wind farm. Wind turbines can be equipped with a supervisory control system that sends the data measured by the sensors to the operator. Design of supervisory control algorithm for a wind farm requires a model of the wind farm system. The task of the supervisory control is to determine the operating mode of each wind turbine and determine the required values of active and reactive powers of the grid for the voltage and frequency stability. The wind farm supervisory controller has objectives that can be categorized into four groups as follows: maximizing power generation, minimizing load fluctuations on wind turbines, providing auxiliary services to the grid and the fault-ride through.The wind farm system studied in this thesis consists of three wind turbines that are connected to the power grid at the point of common coupling. In this thesis, first, a suitable dynamic model of the system is presented. Because the proposed supervisory scheme is general and can work with different controllers, due to the advantages that the model-based predictive controller has over other controllers, this controller has been depicted to control the voltage of the point of common coupling. In the controller design, the power limit of each wind turbine is considered. For simulation studies, the proposed control solution is compared with traditional approaches such as local voltage control, power factor control and proportional-integral controller. It is shown that in the case of load disturbances and faults, the proposed controller operates much more effectively than the mentioned controllers. The proposed method can be generalized to wind farms with larger dimensions and different configurations
  9. Keywords:
  10. Doubly Fed Induction Generator (DFIG) ; Wind Farms ; Common Coupling Point ; Supervisory Control ; Model-Based Predictive Control

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