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All Journal JURNAL NASIONAL TEKNIK ELEKTRO INTEK: Jurnal Penelitian
Amelya Indah Pratiwi
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Minimizing THD Using a Multilevel Inverter Integrated with MPPT Andi Syarifuddin; Pakka, Hariani Ma’tang; Halit Eren; Ahmed Saeed AlGhamdi; Umar, Umar; Widya Wisanti; Amelya Indah Pratiwi
JURNAL NASIONAL TEKNIK ELEKTRO Vol 14, No 2: July 2025
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v14n2.1257.2025

Abstract

This paper presents a novel Modified Multilevel Inverter (MMLI) topology to reduce Total Harmonic Distortion (THD) in photovoltaic (PV) systems. Unlike conventional Cascaded H-Bridge Inverters, the proposed MMLI achieves higher output voltage levels using fewer switching components by optimizing the arrangement of voltage sources and switches. A Boost converter integrated with Maximum Power Point Tracking (MPPT) further enhances power conversion efficiency and system stability. This specific configuration has not been previously explored, offering a more effective solution for THD mitigation. Simulations conducted in MATLAB/Simulink demonstrate the inverter’s performance, with the 5-level MMLI achieving a THD of 28.99% and the 9-level configuration reducing it to 18.15%. These results confirm the superiority of the proposed topology in improving power quality and reducing system complexity. Moreover, the design eliminates the need for external filters, making it a cost-effective and practical option for grid-connected PV applications.
Development of a Current Signal Based Model for High Impedance Fault Identification in Power Systems Syarifuddin, Andi; Nawir, Muhammad; Amelya Indah Pratiwi; Hariani Ma’tang Pakka
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.5995

Abstract

High-impedance faults (HIFs) generate low-magnitude, highly irregular arcing currents that closely resemble normal load behavior, causing conventional overcurrent-based protection to fail in their identification. This study proposes an adaptive current-signal correlation model designed to detect HIFs using time-domain waveform similarity analysis. The method utilizes a band-pass filtered current waveform, half-cycle window segmentation, and a correlation measurement against a reference pattern bank derived from varying ignition-angle scenarios. An adaptive threshold mechanism is introduced to improve robustness against noise, switching transients, and load fluctuations. The proposed model is validated through MATLAB/Simulink simulations and Real-Time Digital Simulator (RTDS) experiments, representing near-real operating conditions of distribution feeders. Results demonstrate a detection accuracy of 97.69%, false alarm rate below 1.5%, and a detection time within one cycle (20 ms). Compared to harmonic, wavelet, and ANN-based methods, the proposed algorithm shows superior speed, computational efficiency, and compatibility with existing current-based relay infrastructures. This approach enables practical field implementation without requiring additional sensors or complex feature extraction.
Co-Authors Ahmed Saeed AlGhamdi Andi Syarifuddin Andi Syarifuddin Halit Eren Hariani M. Pakka Hariani Ma’tang Pakka Muhammad Nawir Umar Umar Wisanti, Widya