Active power filters based on neural network for power quality

In this thesis, a 20 kVA shunt active power filter (APF) prototype was designed for power quality application. Primarily, harmonic detection methods for generating reference currents have been investigated. The advantages and disadvantages of several methods found in the literature have been discussed on the basis of simulation results. Adaptive linear neuron (ADALINE) method based shunt active filter structure is analyzed. This method is compared to the instantaneous reactive power theory (IRPT) method using direct current control technique. The direct and indirect current control techniques are applied in ADALINE method. The performances of direct and indirect current control techniques are compared. TMS320F2812 digital signal processor is used as a central processing unit in experimental works. Also, a systematic design approach is developed for rapid prototype system in a reliable procedure. The self-developed codes on DSP were tested with Simulink; therefore, any possible error in the controller implemented within software is eliminated before connecting the power converter to the supply. The designed shunt APF prototype has been tested successfully in industrial environment and laboratory. The modularity of shunt active power filters is examined for high power applications. The configurations and methods for parallel operation of APFs are analyzed with simulation and results are discussed.Finally, the hysteresis current controller is modeled with APF first time for stability analysis and design of dc link PI controller. The results of linear model are compared with the detailed simulation results. Also, analysis of system has been done in order to designing compensation capacitor with APF.