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Research Article Open Access
Power quality of the system will be affected due to the increasing use of power electronic equipment and nonlinear loads. Active power filters (APF‟s) are effective in mitigating line current harmonics and can improve the power quality. In this paper, instantaneous active and reactive power (p-q) theory is employed to generate the reference currents and PI controller is used control the dc link voltage. The application of artificial intelligence is growing fast in the area of power sectors. The artificial neural network (ANN) is considered as a new tool to design control circuitry for power-quality (PQ) devices. The main objective of this paper is the analysis and comparision of THD of the source current with different types of controllers. Here THD of source current with conventional PI controller is compared with the artificial neural network (ANN) based PI and Particle Swarm Optimization (PSO) based PI. Hysteresis Band Current Controller (HBCC) is used to generate the gate pulses of the VSI of the filter Simulations are carried out in MATLAB/SIMULINK environment using sim power system toolbox.
Power Quality (PQ), Shunt Active Power Filter (SAPF), Instantaneous Active and Reactive Power (PQ) Theory, Hysteresis Band Current Controller (HBCC), Total Harmonic Distortion (THD), Artificial Intelligence (AI) , Artificial Neural Networks(ANN), Particle Swarm Optimization (PSO)., Artificial Intelligence Studies