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All Journal International Journal of Electrical and Computer Engineering International Journal of Applied Power Engineering (IJAPE) Singuda ENSIKOM Bulletin of Electrical Engineering and Informatics Teknika: Jurnal Sains dan Teknologi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Science and Technology Indonesia Jurnal Teknika Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System Indonesian Journal of Electrical Engineering and Computer Science
Yulianta Siregar
Jurusan Teknik Elektro, Fakultas Teknik, Universitas Sumatera Utara
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Physics

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Analysis of voltage drop using transformer tap changer and placement of capacitor bank with genetic algorithm Siregar, Yulianta; Kivander Saragi, Agus; Ngamroo, Issarachai
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10722

Abstract

The demand for electrical energy is increasing due to high economic growth and population. The impact is that electrical energy operates excessively to meet the required demand. Unbalanced loads, higher power losses on the line, and voltage drops that are higher than allowed are just a few of the issues that may result from this. Adding tap changers and capacitor banks is one method of improving the voltage profile and power losses. To conduct this study, tap changers and capacitor banks were added to the IEEE 33 bus network system. The value, capacity, and location of the tap changers and capacitor banks in the system were ascertained using the genetic algorithm (GA) approach. According to the simulation results, the voltage profile, which initially had 21 buses outside the IEEE standard limits, may be ideal by installing two tap changers and two capacitor banks. Additionally, reactive power losses decreased from 41.8 kVar to 93.3 kVar, and active power losses decreased from 202.7 kW to 130.7 kW, a decrease of 72 kW.
Comparative performance analysis of MPPT algorithms for wind power generation: P&O, INC, and TSR methods Muhammad Aulia Desky; Yulianta Siregar; Maksum Pinem
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp894-904

Abstract

Wind energy has great potential, especially in areas with high wind speeds such as Southeast Aceh. However, wind speed fluctuations reduce turbine efficiency, necessitating maximum power point tracking (MPPT) for optimization. This study compared three MPPT methods perturb and observe (P&O), incremental conductance (INC), and tip speed ratio (TSR) to identify the most effective technique. Using MATLAB Simulink, simulations were conducted with wind speed data from Southeast Aceh and a DC-DC boost converter. Results showed the P&O method performed best, producing 847.83 W at 10 m/s, compared to 702.40 W for INC and 324.35 W for TSR. P&O also achieved the highest current output, reaching 16.45 A, while INC and TSR produced 13.66 A and 6.34 A, respectively. At lower wind speeds, P&O continued to outperform the other methods. This study concludes that the P&O method is the most effective method to improve the efficiency of wind turbines in Southeast Aceh, while INC shows moderate performance and TSR is the least effective method due to fluctuating wind speeds in a short time, so that TSR cannot maintain its maximum value. Therefore, P&O is recommended as the optimal MPPT technique for wind power plants in this region.
Design to optimize the location, number, and performance of dynamic voltage restorers using artificial neural networks Yulianta Siregar; Faizzufar Taqy; Mohd Najib Mohd Hussain; Hafizh Prihtiadi; Muldi Yuhendri
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp793-807

Abstract

The need for electrical energy always increases from year to year. This means that the distribution system in the electric power system needs to pay attention to its level of stability and reliability. A low level of stability can cause disruption and result in losses. The system's stability and reliability can be increased by installing custom power devices (CPD) equipment such as a dynamic voltage restorer (DVR). In this research, the location, number, and performance of DVRs are optimized using an artificial neural network based on the voltage stability of the distribution network in the Sibolga Penyulang SB02 area. Based on the research results, buses 2, 12, 24, 27, and 35 are the best places to install DVRs, and the system will have five DVRs installed. A three-phase short circuit simulation was used to determine how feeder stability was impacted by DVR performance. Then, the voltage falls to 0.1770 p.u. during a disturbance and then rises to 0.8073 p.u., which is within the typical voltage limit of > 0.9 p.u. It means that DVRs restored the voltage fully to the acceptable threshold.
Co-Authors . Afron, . . Syahrawardi, . . Yehzekiel, . Afron Afron Aliakbar, Muhammad Azhari Nasution, Azrial Aziz Azhari, Naomi Candra Riawan, Dedet Dadan Ramdan Debataraja, Bio Erna Frida Faizzufar Taqy Hafizh Prihtiadi Hasdari Helmi Hasdari Helmi, Hasdari Jaya Tambun, Tomi Saputra Kasmir Tanjung, Kasmir Kivander Saragi, Agus Mai Kai Suan Tial MAKSUM PINEM Mohamed, Nur Nabila Mohd Najib Mohd Hussain Mubarok, Syahrun Muhammad Ali Akbar, Muhammad Ali Muhammad Aulia Desky Muhammad, Maulaya Muldi Yuhendri Nabila Binti Mohamed, Nur Naemah Mubarakah Naemah Mubarakah Ngamroo, Issarachai PAMBUDI, YOGA WAHYU Ribet Michael Simorangkir Riswan Dinzi Riswan Dinzi Rotua Oktaviana Siahaan, Yosephine Sihar Parlinggoman Panjaitan Sihotang, Wahyu Franciscus Siregar, Melinda Zubara Situmeang, Farel Soeharwinto Soeharwinto Soeharwinto Soeharwinto, Soeharwinto Suan Tial, Mai Kai Suherman Suherman Syahrawardi Syahrawardi Syahrul Humaidi, Syahrul Syiska Yana Tarigan, Kerista Timothy Juan Hartanto Lumbanraja Wiwanto Tjumar Yanuar Zulardiansyah Arief Yasunori Tanaka Yehezkiel Yehezkiel Yopi Fernando Soarez Purba Zulkarnaen Pane