Adaptive Harmonic Current Detection Implemented by Using Digital Signal Processor
Sakhon Woothipatanapan and Chanchai Prugpadee
Faculty of Engineering, Rajamangala University of Technology Phra Nakhon, Bangkok, Thailand
Abstract—This paper aims to develop an efficient method for accurate detections of harmonic current distortions in power system for control of an active harmonic filter. The adaptive noise cancellation theory was originally developed for noise signal processing is applied for this control for active harmonic filter. There are many algorithms for adaptive noise cancellation, which lease mean square algorithm and recursive least square algorithm are most used. Since recursive least square algorithms is more effective. Therefore, this research has carried out a real time implementation to detect harmonic current distortion in power system by using digital signal processor kit TMS320C6713 for the adaptive harmonic filter.
Index Terms—active harmonic filter, lease mean square, recursive least square, digital signal processor
Cite: Sakhon Woothipatanapan and Chanchai Prugpadee, "Adaptive Harmonic Current Detection Implemented by Using Digital Signal Processor," International Journal of Electronics and Electrical Engineering, Vol. 7, No. 1, pp. 1-5, March 2019. doi: 10.18178/ijeee.7.1.1-5
Cite: Sakhon Woothipatanapan and Chanchai Prugpadee, "Adaptive Harmonic Current Detection Implemented by Using Digital Signal Processor," International Journal of Electronics and Electrical Engineering, Vol. 7, No. 1, pp. 1-5, March 2019. doi: 10.18178/ijeee.7.1.1-5
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