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Small signal stability enhancement of DFIG based wind power system using optimized controllers parameters |
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| Affiliation: | 1. Department of Electrical Engineering, C.S. Patel Institute of Technology, CHARUSAT, Changa, Gujarat, India;2. Department of Electrical Engineering, School of Technology, PDPU, Gandhinagar, Gujarat, India;1. Department of Electrical and Computer Engineering, University of Kashan, P.O. Box: 87317-51167, Kashan, Iran;2. Power Systems Dynamics and Control Lab., Department of Electrical Engineering, Sharif University of Technology, Tehran, Iran;1. Faculty of Electric Power Engineering, Kunming University of Science and Technology, 650500, Kunming, China;2. School of Electric Power Engineering, South China University of Technology, Guangzhou, China;3. Department of Electrical Engineering & Electronics, University of Liverpool, Liverpool, L69 3GJ, United Kingdom;1. Budge Budge Institute of Technology Kolkata, West Bengal 700137, India;2. M N National Institute of Technology Allahabad, Allahabad, Uttar Pradesh 211006, India |
| Abstract: | This paper presents the state space modelling of doubly fed induction generator (DFIG) for small signal stability assessment. The gains of PI controller in torque and voltage control loop of rotor-side converter (RSC) are optimized by particle swarm optimization (PSO) to improve the dynamic performance of DFIG. These optimized parameters results in improved damping of DFIG and minimizes the oscillations in rotor currents and electromagnetic torque. The nature of modes of oscillations for DFIG integrated to infinite bus are analysed under different operating conditions such as varying wind speed and grid strength. The transient analysis with optimized parameters shows the enhancement in LVRT capability during voltage sag and three phase fault as desired by grid codes. |
| Keywords: | Wind turbine generators Doubly fed induction generator Particle swam optimization Eigen value analysis Low voltage ride through |
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