Dr. Hugo Riggs has earned his Ph.D. in electrical and computer engineering from Florida International University, USA. He is an innovative researcher in the field of machine learning applications for photovoltaics and distribution system monitoring and has registered a patent on renewables forecasting technology.
This work presents a Kalman filter-based harmonic mitigation technique that can be used to reduce the total harmonic distortion (THD) of grid-injected current by reducing the harmonic distortion. Throughout the power supply system, power electronic converters have become increasingly used in recent years, which has resulted in more reactive power and harmonics. In a power system, harmonics add to noise and lower power quality. A study in MATLAB/Simulink 2022b for improving the THD of renewable energy injected grid currents using seven-level packed u-cells (PUC7) has been undertaken to improve the grid-injected current THD with Kalman filter-based harmonic mitigation technique. With the Kalman filter-based harmonic mitigation techniques, the THD for the grid-injected current is improved from 6.32 to 2.49% when compared to the grid-injected current without the Kalman filter-based technique.
Part of the book: Applications and Optimizations of Kalman Filter and Their Variants