This work presents a study of shunt active power filters (APFs), which are implemented by means of both fourlegs and three full-bridge voltage source inverter (VSI) topologies. These topologies are applied in three-phase four-wire systems for reactive power compensation and harmonic current suppression generated by nonlinear loads. The compensation reference currents used in both APFs are extracted from the synchronous reference frame (SRF) based controllers. A mathematical analysis of the four-legs and the three full-bridge topologies are presented in order to obtain the model in state space and the transfer functions of each system, allowing to set the proportional-integral (PI) gains used in the current controllers. Simulation results are presented in order to evaluate the performance of the APFs approaches.
Abstract. This paper presents an alternative method based on artificial neural network, which is used to obtain the reference currents for harmonic current suppression and reactive power compensation in a shunt active power filter applied to three-phase four-wire system. The neural network consists of a multilayer perceptron, which is trained to estimate the peak amplitude of the load fundamental component currents. The performance of the proposed artificial neural network is evaluated by computer simulation, and it is compared with the method based on synchronous reference frame.
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