(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 2, 2019 101 | Page www.ijacsa.thesai.org Improved Industrial Modeling and Harmonic Mitigation of a Grid Connected Steel Plant in Libya Abeer Oun 1 , Ibrahim Benabdallah 2, Adnen Cherif 3 Department of Physics, ATEESS, Faculty of Sciences of Tunis University of Tunis EL Manar, Tunisia 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. Keywords—Industry 4.0; distribution systems; THD; harmonic load flow; passive filters I. INTRODUCTION Over the last few years in developing countries many linkage reinforcement attempts between researchers, industry stakeholders and the socioeconomic world aiming to promote the fourth [1-4] industrial revolution. Engineering researchers have been focusing on power system studies especially after the massive introduction of new renewable energies sources [5 -7] affecting the overall radial electrical system compartments. Power quality issues are generally caused by non-linear loads; corrective operations are not automatically gained with the same action due to devices nature [8-9] and response differences. One of the key ascertainment to gain towards migrating into 4th industrial revolution and enhancing power quality is mitigating harmonic disturbances which come largely from equipment with non-linear current and voltage characteristic causing severe damages on voltage supply network. As real manufacturing domain suffering from harmonic disturbances we quote induction melting furnaces [10] which use electric current to dissolve metal. Where exceeded Harmonic Distortion THD and its moving average TDD compared to the 519_1992 IEEE Standard can cause overloading of power factor correction, over voltage and extra currents, increased error in energy meters, malfunctions of protective gears, relays, circuit breakers, tripping of machines at smaller loads and inductive interference [11-12] with neighboring electrical grid. A. Industry 4.0 Manufacturing industry is ongoing a deep permeating process, where physical and virtual worlds will be fused through Virtual-physical systems. This process is fuelled by high technology enablers like; Smart metering and monitoring Mobile Devices , Internet of Things IOT, Internet of Every Things IOE, Cloud computing, Big Data, 3 D printing … aiming to achieve the Smart Factory Paradigm. In the same context: Authors in [13] Provides a review of electrical energy metering state-of-the-art in, with a meticulous focus on energy metering in complex manufacturing establishments. They highlighted quantification and visibility in energy consumption. Where habitually, operation of complex manufacturing facilities planning decisions have been based only on conventional metrics without considering energy consumption rationalization and taking into account its energy standards which ought to be one of the keys of manufacturing strategies as well demonstrating the importance of power quality statistics instance; such as voltage sags and harmonic distortion. Further in [14], authors offered an overview of different opportunities for sustainable manufacturing in Industry 4.0 in addition to a use case for the upgrading of manufacturing equipment as a specific opportunity for sustainable manufacturing. In [15], authors underlined the fact that several manufacturing systems are not ready to manage big data due to the lack of smart analytics tools. Management of big data as well as the readiness level of smart predictive informatics tools has been drawn to achieve transparency and productivity. B. Power System Analysis The global growing of nonlinear loads applications, coming mostly from the wide use of power electronic devices, have resulted power quality issues more than ever seen before. Here appears the power System study and analyses as compulsory parts of any power system engineering for quantification query, in this same axis: [16] is an assessment of harmonic disturbances seen in a real smart grid. Then, solution to