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A sensorless Kalman filter-based active damping technique for grid-tied VSI with LCL filter
Affiliation:1. Key Laboratory of Animal Physiology, Biochemistry and Molecular Biology of Hebei Province, College of Life Science, Hebei Normal University, 050024 Shijiazhuang, Hebei Province, PR China;2. Medical College of Hebei University of Engineering, 056002 Handan, Hebei Province, PR China;1. Department of Civil Engineering, Tianjin University, Building 8, No. 92, Weijin Road, Nankai District, Tianjin, 300072, China;2. Key Laboratory of Coast Civil Structure Safety (Tianjin University), Ministry of Education, Tianjin, 300072, China;3. Department of Civil Engineering, University of Southern California, Los Angeles, CA 90089-2531, USA
Abstract:Employing the LCL passive filter in inverter-based distributed generation to ensure high quality power delivery comes at the expense of poor performance due to the resonance phenomenon. Literature elucidated several active approaches to mitigate this phenomenon. This paper proposes a sensorless active damping technique that is able to restrain the resonant current component through the estimation of the filter capacitor current using the Kalman filter. The Kalman filter is able to improve the quality of the estimated variables in noisy environments accompanied with measurements and model uncertainties. The effect of LCL filter parameter mismatch on the performance of the Kalman filter is assessed. Stability and convergence analyses are also conducted. An effective tuning method for the grid current controller employing a proportional-resonant controller is adopted. Experimental evaluations were conducted to validate the proposed control strategy.
Keywords:Active damping  Kalman filter  Grid-connected inverters  Proportional resonant controller  LCL filter  Power quality
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