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Rancang Bangun Pembangkitan Generator Marx 10 Tingkat pada Uji Kapasitor 220 pF dan Lightning Protector Rodiah, Yuli; Putri, Nilda Tri; Anggraini, Ika Novia; Herawati, Afriyastuti; Rizki, M.
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 12 No. 2 (2022): Amplifier November Vol. 12, No. 2 2022
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v12i2.24945

Abstract

The Marx generator circuit is an impulse voltage multiplier that is used to represent lightning overvoltage and switching overvoltage. In this research, a 10-level Marx Generator impulse generator design was carried out by varying the distance between the spark gaps of 2.5mm, 5.0mm, 7.5mm, and 10.0mm and the test load was a 220pF capacitor and a lightning protector. The results of the design and simulation of the 10-level Marx Generator produce an impulse voltage according to the IEC 60060-1 lightning impulses standard, which is 20.20kV with a wavefront and tail time of 2.29 µs and 52.3 µs. The test results for the 220pF capacitor load at a distance of 2.5 mm, the resulting voltage is 23.5 kV with a wavefront and tail time of 1.7 µs and 25 µs, while the lightning protector test load produces a voltage of 24 kV, with a wavefront and tail time of 2.1 µs and 43 µs
Design of an Off-Grid Solar PV System for a Renewable Energy-Based Home in Bengkulu Rinaldi, Reza Satria; Herawati, Afriyastuti; Anggraini, Ika Novia; Helmizar, Helmizar
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 3 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i3.449

Abstract

Bengkulu Province has a solar energy potential of 3,475 MW, with an average daily solar irradiance duration of 5.9 hours in 2022 and 8.3 hours in 2023. This study designs an off-grid solar PV system for a renewable energy-based home (REH) model in the coastal area of Bengkulu City. The REH is a home with electrical energy independence that utilizes renewable energy systems to generate electricity. This study focuses on the REH powered by solar energy, intended for a modest home with a power capacity equivalent to a 900 VA PLN customer classification. The data on solar energy potential in the coastal area of ​​Bengkulu City used in this study is from the Global Solar Atlas. The data analysis confirmed the need for the REH model to generate electricity from solar energy, requiring 12 units of 120Wp PV modules in a PV array. An appropriate solar charge controller for this REH model is the MPPT SCC with a rating of 48 V 30 A. Based on the selected PV modules and the daily load of the REH model, the required 48 V battery capacity is 300 Ah, and the PSW Inverter 2,000 VA 48 V.
Genetic Algorithm-Based Contingency Ranking for the 500 kV JAMALI Interconnection System Priyadi, Irnanda; Daratha, Novalio; Rodiah, Yuli; Anggraini, Ika Novia; Sutradi, Tri; Sri Wahyuni, Ade; Reza Razali, Makmun
International Journal of Engineering Continuity Vol. 4 No. 2 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i2.332

Abstract

The performance of an electric power system is strongly tied to how well it can handle disturbances. In daily operation, one of the most frequent and serious disturbances is the loss of a transmission line. When a line trips, its load must be shared by the rest of the network. Sometimes this redistribution is harmless, but in stressed conditions it can create overloads and trigger further outages. To reduce this risk, system operators rely on contingency analysis. The (N-1) criterion, which considers the effect of losing a single component, is the most common standard. However, when applied to a large network, the number of cases becomes very high, and the analysis can be time-consuming. In this work, contingency ranking using a Genetic Algorithm (GA) is studied for two systems: the IEEE 30-bus test grid and the 500 kV Java–Madura–Bali (JAMALI) interconnection in Indonesia. The GA follows the usual cycle of initialization, selection, crossover, mutation, and fitness evaluation, with the Voltage Performance Index (VPI) used to measure severity. Different parameter settings were tested. The results show that line 36 (bus 28–27) is most critical in the IEEE 30-bus system with a VPI of 56.5915, while line 35 (Bangil–Paiton) is most critical in the JAMALI system with a VPI of 95.3947. These outcomes highlight the usefulness of GA in identifying vulnerable transmission lines.