Abstract
This paper presents a novel harmonic identification algorithm of shunt active power filter for balanced and unbalanced three-phase systems based on the instantaneous power theory called instantaneous power theory with Fourier. Moreover, the optimal design of predictive current controller using an artificial intelligence technique called adaptive Tabu search is also proposed in the paper. These enhancements of the identification and current control parts are the aim of the good performance for shunt active power filter. The good results for harmonic mitigation using the proposed ideas in the paper are confirmed by the intensive simulation using SPS in SIMULINK. The simulation results show that the enhanced shunt active power filter can provide the minimum %THD (Total Harmonic Distortion) of source currents and unity power factor after compensation. In addition, the %THD also follows the IEEE Std.519-1992.
Highlights
Power systems connected nonlinear loads can generate the harmonics into the systems
The results show that the adaptive Tabu search (ATS) approach is very useful and more convenient for the optimal design of predictive current control in shunt active power filter (SAPF) system
The performance comparison between the PQ and PQF is presented by the simulation via the software package
Summary
Power systems connected nonlinear loads can generate the harmonics into the systems. There are two types of SAPF topology such as the voltage source inverter (VSI) [12, 13] and the current source inverter (CSI) [13, 14] with six IGBTs. The VSI topology is used in the paper because this topology is simple and provides the good performance for harmonic elimination. The Part C is the control technique to control the compensating current of SAPF. The aim of this paper is the minimum %THD of source currents after compensation via SAPF. In Part A, the PQ method is selected for improvement because this algorithm is simple and because of unity power factor confirmation after compensation.
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