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All Journal Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Anwar, Naveed
Department of Electrical and Computer Engineering, Effat University, Jeddah, KSA.
Computer Science & IT Electrical & Electronics Engineering

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Fractional Order Sliding Mode Control to Mitigate Power Quality Issues using Dynamic Voltage Restorer in Distribution Network Yaqub, Muhammad Haroon; Hanif, Aamir; Anwar, Naveed; Ullah, Mian Farhan; Shah, Muhammad Shahzaib; Hussein, Aziza I.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 2: June 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i2.6031

Abstract

Power quality (PQ) issues lead industrial customers to suffer significant financial losses. These PQ issues are garnering more attention from electricity suppliers and consumers in the modern day. This study addresses prevalent PQ issues, namely voltage sag and swell, stemming from a decrease in RMS voltage within electrical networks, particularly impacting sensitive loads. The solution proposed involves employing a series connected custom power device (CPD) named as dynamic voltage restorer (DVR) with an integrated DC battery for energy storage, to consistently maintain the requisite voltage magnitude. To effectively combat voltage sag and swell, the study introduces a novel control strategy known as fractional order sliding mode control (FOSMC). Noteworthy features of the FOSMC methodology include its capacity to autonomously and dynamically address sag and swell issues. The Simscape toolbox of MATLAB®/Simulink® is used to perform simulations to showcase the efficacy of the FOSMC technique. The results demonstrate that this strategy ensures total harmonic distortion remains below 5% and achieves sag/swell mitigation in less than 2 milliseconds, aligning with SEMI-F-47 and IEEE voltage standard 1159-2019. In summary, the study introduces and validates a robust control strategy implemented in a DVR system to autonomously alleviate voltage sag and swell issues, with simulation results supporting its effectiveness in upholding PQ standards. The FOSMC scheme with DVR is also compared with FOSMC scheme with DSTATCOM as well as with super twisting sliding mode control (STSMC) algorithm and classical sliding mode controller (SMC) to show the effectiveness of the proposed scheme. The FOSMC technique with DVR is more effective in restoring voltage sag/swell and PQ issues.
Optimizing Energy Management in Hybrid Systems: A Case Study on PV, Battery, and Hydrogen Electrolysis Rada, Rawan A; Anwar, Naveed; Hussein, Aziza I.; M. Aly, Rabab Hamed
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 4: December 2025 (ACCEPTED PAPERS)
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i4.7173

Abstract

Energy-intensive facilities face significant challenges in managing energy costs while ensuring reliable power for critical operations. This paper explores the integration of renewable energy and hydrogen technologies in a hybrid system, aimed at reducing grid dependency, minimizing energy costs, and contributing to environmental sustainability. A hybrid energy system comprising solar photovoltaic (PV) generation, battery storage, hydrogen production via electrolysis, and a proton exchange membrane (PEM) fuel cell was developed and simulated using MATLAB Simulink. The system was controlled by an intelligent energy management system (EMS) based on fuzzy logic, which dynamically prioritized energy sources to ensure operational autonomy. A hospital in Jeddah is used as a case study to demonstrate the application of this hybrid system. Simulation results showed that the hybrid system could generate up to 3,017,359 kWh annually, reducing the cost of energy (COE) from $0.19/kWh to $0.11/kWh. The system alleviated grid load by 3,000,000 kWh/year and reduced CO₂ emissions by 1.5 million kg annually. The PV array demonstrated a maximum power point tracking (MPPT) efficiency of 93.6%, and the PEM fuel cell achieved an efficiency of 65%. The fuzzy logic EMS effectively optimized energy flow, ensuring reliable power supply without frequent reliance on grid power. These findings highlight the potential of hybrid renewable energy systems for enhancing energy resilience and sustainability in energy-intensive facilities.
Co-Authors Hanif, Aamir Hussein, Aziza I. Hussein, Aziza I. M. Aly, Rabab Hamed Rada, Rawan A Shah, Muhammad Shahzaib Ullah, Mian Farhan Yaqub, Muhammad Haroon