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Simulation and control of a doubly fed induction generator (dfig) using artificial neural networks.
| Content Provider | CiteSeerX |
|---|---|
| Abstract | The paper describes the design of a doubly fed induction generator (DFIG), using back-to-back PWM voltage-source converters in the rotor circuit. A vector-control scheme for the supply-side PWM converter results in independent control of active and reactive power drawn from the supply.Slip ring induction machine in the variable speed wind turbine popularly known as double fed induction generator is mostly used in wind power generation. The main reasons for the popularity of the doubly fed wind induction generators connected to the power network is their ability to supply power at constant voltage and frequency while the rotor speed varies and motor converter handles fraction of stator power. The main goal of my project is to design doubly fed induction generator (DFIG) & to control the rotor and stator voltages by injecting the proper rotor voltage to the DFIG derived from PI and ANN controller so as to maintain the constant terminal voltage.The results also verify the simulation model can meet the requirement of the VSCF wind energy conversion system. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Artificial Neural Network Doubly Fed Induction Generator Induction Generator Stator Voltage Variable Speed Wind Turbine Wind Power Generation Main Reason Induction Machine Constant Terminal Voltage Wind Induction Generator Vscf Wind Energy Conversion System Supply-side Pwm Converter Result Back-to-back Pwm Voltage-source Converter Stator Power Ann Controller Rotor Speed Varies Constant Voltage Proper Rotor Voltage Double Fed Induction Generator Simulation Model Rotor Circuit Main Goal Motor Converter Independent Control Vector-control Scheme Reactive Power Drawn Power Network |
| Content Type | Text |
