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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE) Jurnal Pendidikan Teknologi dan Kejuruan JTEV (Jurnal Teknik Elektro dan Vokasional Sinergi JURNAL NASIONAL TEKNIK ELEKTRO PROtek : Jurnal Ilmiah Teknik Elektro Syntax Literate: Jurnal Ilmiah Indonesia CYCLOTRON Jurnal Fokus Elektroda : Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali Mekanika: Majalah Ilmiah Mekanika International Journal of Electrical, Energy and Power System Engineering (IJEEPSE) Electrices : Jurnal Otomasi Kelistrikan dan Energi Terbarukan Jurnal Energi Baru dan Terbarukan Jurnal Impresi Indonesia CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal Science and Technology (IJST) Jurnal Ilmiah Teknik Elektro International Journal of Electrical, Computer, and Biomedical Engineering (IJECBE) Jurnal Surya Energy
Budi Sudiarto
Departemen Teknik Elektro, Fakultas Teknik, Universitas Indonesia, Depok, Jawa Barat, Indonesia
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Effect of PLTS power factor settings on power losses and voltage conditions in 20 kV medium voltage networks Savira, Resti; Sudiarto, Budi
Jurnal Pendidikan Teknologi Kejuruan Vol 6 No 2 (2023): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v6i2.32523

Abstract

As technology develops, the rapid increase in PV capacity will affect the grid. This makes it important to determine the PV limit that can be injected into the grid defined as the PV Hosting Capacity (PVHC). In this paper, the author evaluates and analyses the impact of PV connections on medium voltage distribution lines (20kv) using ETAP 19.01 simulation. A medium voltage Grid with a capacity of 30MVA, has an industrial load varies from 650 kVA to 25 kVA with the total load capacity of 2225 KVA. The loads are supplied from two sources, grid and PV system. The simulation results state that the best of grid performance which provide the best losses and voltage condition when connecting 100% capacity of PV to the existing grid network is by setting the inverter power factor to 0.9. This setting will provide lowest power losses of 0,7 kW and improve the voltage value.
Numerical and experimental state of identification battery pack lithium-ion Anggraeni, Dewi; Sudiarto, Budi; Nasser, Eriko Nasemudin; Hasbi, Wahyudi; Natali, Yus; Priambodo, Purnomo Sidi
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i4.pp2623-2633

Abstract

Two key indicators of a battery management system (BMS) are the state of charge (SoC) and the state of health (SoH). Accurately estimating SoC is important to prevent potential issues. Additionally, space, computing time, and cost are important factors in hardware development. To address these considerations, the first-order extended Kalman filter (EKF) and adaptive extended Kalman filter (AEKF) models were selected due to their simpler data pre-processing and better accuracy. The study recommends using the first-order equivalent circuit model (ECM) method in conjunction with the EKF and AEKF algorithms due to their straightforward setup and efficient computational process. Analysis of the charge-discharge cycles shows that the AEKF method consistently outperformed the EKF method regarding SoC accuracy. Moreover, when given different initial SoC values, the AEKF method displayed superior SoC estimation accuracy compared to the EKF method. Moreover, while the accuracy of the EKF is diminished, the error value remains below 2.5% for up to 500 cycles. Additionally, the shorter computing time of the EKF method is a consideration for practical real-world implementation. Furthermore, experiments conducted over 500 cycles revealed that SoH estimation declined from 99.97% to 76.1947%, suggesting that the battery has reached the end of life (EOL) stage.
Risk-based predictive maintenance of medium voltage network switching equipment using analytical hierarchy process as an analytical tool Gumilang, Erick Satriyo; Hudaya, Chairul; Sudiarto, Budi; Husnayain, Faiz
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.011

Abstract

Predictive maintenance has become crucial for enhancing the reliability and efficiency of electrical systems, especially for Medium Voltage Network (MVN) switching equipment, which plays a key role in electricity distribution. This study aimed to develop a risk-based predictive maintenance model for MVN switching equipment using the Analytical Hierarchy Process (AHP) for maintenance prioritization, along with Z-score and Monte Carlo simulation methods to evaluate risk likelihood and impact. The Z-score method assessed the probability of risks occurring, revealing a probability exceeding 90% for specific equipment, such as UP2D.2025.C4, at 93.12%. The Monte Carlo simulation assessed the potential impact of these risks, showing severe consequences for various types of equipment. For example, UP2D.2025.C1 had a mean of 28.51 and a standard deviation of 3.50, while UP2D.2025.C8 had a standard deviation of 33.17, with an impact of over 61.53%. AHP was used to assign priority weights to components based on criteria such as equipment age, operational condition, and failure history. The analysis indicated that the Lightning Arrester had the highest maintenance priority at 26.04%, followed by the Fuse Cutout at 20.62% and the Pole-Mounted Circuit Breaker at 11.15%. This research was expected to significantly contribute to the development of more efficient and effective maintenance strategies for electrical systems, particularly in the electricity distribution sector.
Analisis Harga Pembelian Tenaga Listrik yang Optimal untuk Pembangkit Listrik Energi Terbarukan di Kawasan Timur Indonesia Supriadi, Supriadi; Sudiarto, Budi
Jurnal Energi Baru dan Terbarukan Vol 6, No 3 (2025): Oktober 2025
Publisher : Program Studi Magister Energi, Sekolah Pascasarjana, Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jebt.2025.26933

Abstract

Kawasan Timur Indonesia memiliki potensi energi terbarukan yang besar. Akan tetapi, pemanfaatannya belum maksimal dan masih mengandalkan energi fosil. Salah satu penyebabnya adalah harga pembelian tenaga listrik dari pembangkit energi terbarukan yang tidak kompetitif sehingga menghambat investasi swasta. Disisi lain jika harga pembelian terlalu tinggi maka dapat membebani keuangan PLN dan meningkatkan Biaya Pokok Penyediaan (BPP). Oleh karena itu, diperlukan analisis untuk menentukan harga pembelian tenaga listrik optimal yang menguntungkan bagi PLN sebagai pembeli sekaligus tetap memberikan tingkat pengembalian investasi yang layak bagi swasta sebagai pengembang. Analisis harga pembelian tenaga listrik dilakukan berdasarkan Peraturan Presiden (Perpres) 112 Tahun 2022, dengan pendekatan perhitungan Net Present Value (NPV) dan Internal Rate of Return (IRR) untuk menilai kelayakan proyek. Dari sisi finansial PLN dilakukan dengan menghitung penghematan yang diperoleh dari selisih BPP pembangkitan energi terbarukan dengan BPP Pembangkit Listrik Tenaga Diesel (PLTD). Hasil penelitian menunjukkan bahwa jika menggunakan harga patokan tertinggi yang ditetapkan Pemerintah, hanya pembangkit listrik tenaga panas bumi (PLTP) yang tidak layak untuk dikembangkan. Harga optimal untuk PLTP seharusnya diatas 13,32 ¢/kWh. Sementara Pembangkit Listrik Tenaga Surya (PLTS) adalah yang paling layak untuk dikembangkan karena memiliki nilai IRR paling tinggi diantara pembangkit lainnya dengan kisaran harga optimal 9,36 – 10,91 ¢/kWh dan potensi penghematan PLN dari pembangkit ini sebesar 2,17 – 3,99 triliun rupiah per tahun.
Medium Voltage Cable Health Index Integrating Diagnostic Data and Feeder Load for Reliability Assessment Negara, Pande Putu Priyanithi Dharsania; Sudiarto, Budi
International Journal of Electrical, Energy and Power System Engineering Vol. 9 No. 1 (2026): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.9.1.25-38

Abstract

Reliable operation of medium-voltage (MV) distribution networks depends strongly on the condition of XLPE-insulated cable systems. However, existing diagnostic methods, including Partial Discharge (PD), Tan Delta (TD), and Very Low Frequency (VLF) testing, are typically interpreted in isolation, limiting their relevance to operational decision-making. This study develops a unified Health Index (HI) framework that integrates these three diagnostic parameters with feeder loading data under real field conditions. Using Min–Max normalization and dual weighting schemes, the model was applied to 33 cable segments in a tropical MV distribution network. HI values were statistically correlated with the System Average Interruption Duration Index (SAIDI) and Energy Not Supplied (ENS). Results show that the dielectric-oriented weighting scheme yields stronger correlation with SAIDI (r = 0.967, p < 0.05), while equal weighting enhances sensitivity to ENS. Although feeder loading contributes to degradation exposure, intrinsic insulation condition remains the primary determinant of health classification. High-risk segments are consistently identified under both schemes, confirming the structural robustness of the model. The proposed framework provides an empirically validated foundation for condition-based and risk-based asset management in MV distribution systems.
Reducing Cogging Torque in V-Shaped BLDC Motors: A FEA Simulation Study on the Impact of Skew Angle Mandasari, Dewi Rianti; Sudiarto, Budi; Amelia, Lia; Suryandi, Asep Andi
Mekanika: Majalah Ilmiah Mekanika Vol 23, No 1 (2024): MEKANIKA: Majalah Ilmiah Mekanika
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/mekanika.v23i1.83242

Abstract

This study thoroughly investigated the impact of stator skew angles on cogging torque in V-shape Brushless Direct Current (BLDC) motors, focusing on electric vehicle applications. Using Finite Element Analysis (FEA) with ANSYS Maxwell, the research assessed how variations in stator core skewness affect torque performance, prioritizing the reduction of cogging torque known for inducing undesirable fluctuations during rotor movement, impacting motor smoothness and noise levels. FEA calculations reveal a significant reduction in cogging torque with the introduction of skew angles to the stator core, enhancing motor efficiency. The study introduces novelty by analyzing the magnetic flux distribution resulting from skew angle variations. Simulation results, particularly on no-load characteristics based on D-axis flux linkage data, offer a comprehensive overview of the motor’s response under no mechanical load. Observations showed that D-axis flux linkage values decreased with increasing stator skew angle, indicating a shift in winding angle. This decline in D-axis flux linkage under no-load conditions demonstrates how variations in stator core skew angles impacted magnetic flux distribution, resulting in different values and promoting a more uniform flux linkage waveform. Increased stator core skew angles correlated with reduced flux linkage values, contributing to decreased cogging torque fluctuations and smoother BLDC motor operation.
Co-Authors Agus R Utomo Agus R. Utomo Agustinus, Alpha Ali, Haidar Alim, Adhipa Tri Setyawan Alvin, Bob Arsyad, Masrajuddin Basyaib, Usamah Budhihadi, Randy Purnawan Dewi ANGGRAENI Dicky Syachreza Himawan Faishal, Fariz Dzaky Fikry, Hafizh Al Gumilang, Erick Satriyo Hero Gunawan Hudaya, Chairul Husnayain, Faiz I Made Ardita I Made Ardita Ihsan Irfanto Imran Syahrizal Iwa Garniwa Jufri, Fauzan Hanif Justinus Dipo Nugroho Karim, Romi Naufal Kurniawan, Wahyu Citra Lia Amelia Liu, Jian-Hong M. Muaz Afra Yunardi Mandasari, Dewi Rianti Marbun, M Masrajuddin Muhammad Arkhan Pradanugraha Mukti, Doni Abdul Mutiah, Fiqi Nasser, Eriko Nasemudin Nasution, Eldi Firmansyah Negara, Pande Putu Priyanithi Dharsania Nurwahono, Lugito Pongmasakke, Erwin Pauang Pradanugraha, Muhammad Arkhan Prasetya, Candra Agung Pratama, Rheo Loridho Purnomo Sidi Priambodo Putra, Muhamad Mandala Rheo Loridho Pratama Rudy Setiabudy Salile, Ahmad Yusuf Samual, Muhammad Gillfran Savira, Resti Setyawan, Ariandiky Eko Sibarani, Michael Bonardo Siswono Supriadi Supriadi Suryandi, Asep Andi Tamim, Faizal Wahyudi Hasbi Wardhana, Aryatama Wisnu Widayat, Aditya Anindito Yogi Sepatra Paulus Yunardi, M. Muaz Afra Yus Natali Z Day, Faizatul Hasanah