Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network Topology
AbstractAdaptive neural network (ANN) topology based control has been proposed in this paper for three phase three wire shunt active power filter (SAPF) application. The proposed controller improves power quality and compensates harmonic components. System includes current controlled voltage source inverter (CC-VSI) using three phase insulated gate bipolar transistors (IGBT), DSP module for generating regulated pulse width modulated (PWM) pulse and reference DC bus. Increase in non-linear load applications has raised power quality issues. SAPF has emerged as one of the best solutions to improve power quality. Application of ANN in SAPF eliminates the need unit template generation and tuning requirement of phase locked loop (PLL), as required in traditional SAPF. Proposed ANN based SAPF can be dynamically regulated for minimum harmonic contamination. The results have been established verified in Matlab/ Simulink platform.
How to Cite
GOVIND, Annu; PRAKASH, Anupama; KUMAR, Prakash. Performance Enhancement of Shunt Active Power Filter Application using Adaptive Neural Network Topology. Journal of Power Technologies, [S.l.], v. 101, n. 1, p. 78-85, mar. 2021. ISSN 2083-4195. Available at: <https://papers.itc.pw.edu.pl/index.php/JPT/article/view/1456>. Date accessed: 28 sep. 2021.
DSP controller; harmonic minimization; neural network; power quality; shunt active power filter
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