Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
The development of converter technology has made the price of renewable energy–based power plants more affordable. The increasing number of renewable energy–based power plants has a positive impact but also has a negative impact. One of the negative impacts that occur in renewable energy–based power plants is the emergence of harmonics. Harmonics in principle cannot be removed from the electric power system but harmonics can be controlled in order to minimize the negative impact. This research is developing active filter based on Extreme Learning Machine (ELM) concept. ELM is used as control strategies to produces signals opposite with harmonic signals. From the simulation results shown that the active filter based on ELM can reduce the Total Harmonic Distortion (THD) in microgrid systems effectively.
How to cite this article:
Adi Soeprijanto, A.M. Hatta, M.F. Adiatmoko, N.H. Rohiem, D.K. Setiawan and Mat Syai’in. Harmonic Filter for Microgrid Based on Extreme Learning Machine.
DOI: https://doi.org/10.36478/jeasci.2019.6385.6391
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.6385.6391