Abstract: Currently, we are living in a new transition process towards the fourth phase of industrialization, well known as the purported Industry 4.0. This development backbone supposes a sustainable manufacturing. Were optimal functionalities of a factory components especially energy rationalization and enhanced power quality are nonetheless a privilege but an obligation to introduce efficiently artificial intelligence AI, smart metering SM and automated decision making ADM. In the same axis of mitigating power quality issues, this paper is introduced first to draw innovatively a virtual reality (VR) complex grid connected steel power plant and then to depict harmonic sources in order to moderate them which are caused essentially by nonlinear installed loads manifesting power system quality issues and exhibiting periodic signal distortion. Accordingly, it was essential to assay the diverse origins of harmonic problems and to present the most accommodate and economic solution techniques. Related voltage and current harmonic flows at 30 kV levels, of the General Electricity Company of Libya GECOL located in Tripoli city, are examined. Afterward, inquire jointly their harmful effects on plant components. In order to attenuate distortion, a harmonic analysis has been investigated. Then appropriate filters design have been sized, designed, simulated and appended to the panel. Simulation results are presented and validated using ETAP industrial software under real measurement arena.

Abeer Oun, Ibrahim Benabdallah and Adnen Cherif, “Improved Industrial Modeling and Harmonic Mitigation of a Grid Connected Steel Plant in Libya” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100214

@article{Oun2019,
title = {Improved Industrial Modeling and Harmonic Mitigation of a Grid Connected Steel Plant in Libya},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100214},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100214},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Abeer Oun and Ibrahim Benabdallah and Adnen Cherif}
}