Helena T Hutabarat, Purnama
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Potensi Pembangkit Listrik Tenaga Bayu Secara Ekonomi di Kawasan Wisata Pantai Cermin Menggunakan Software Homer Yulianti Purba, Darma; Zambak, Muhammad Fitra; Rohana; Helena T Hutabarat, Purnama
JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Vol. 8 No. 1 (2024): Journal of Electrical and System Control Engineering
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jesce.v8i1.11751

Abstract

The Wind Power Plant is an alternative energy source for generating electricity. The development and utilization of wind energy technology is an effort to increase the contribution of renewable energy to the supply of electrical energy, especially in areas that are not covered by the PLN electricity network. Economic analysis is the application of financial analysis to determine the feasibility of a wind power generation system in the Cermin Beach tourist area, Deli Serdang Regency. Simulation results using Homer software were obtained to supply a load with a kWh of 1,144 kWh/day, a wind turbine with a capacity of 10 kW required 3 turbines with an output power of 2001 watts per turbine. The cost of constructing the turbine after the simulation is Rp. 5,400,000,000 where the total production value if using this generator is IDR 45,709 /kWh, whereas if using the PLN tariff it is IDR. 45,789/kWh with a pay back period of 140 years. The wind speed is 2.63m/s. The mass flow rate is 133.46kg/s, the efficiency power is 1600 watts and the system power is 18.9 watts/m2.
Implementasi Teknologi LoRA Menggunakan Data Beban Puncak Pada Gardu Distribusi Helena T Hutabarat, Purnama
JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER Vol. 15 No. 1 (2025): Amplifier Mei Vol. 15, No. 1 2025
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/jamplifier.v15i1.37029

Abstract

Transformer monitoring and measurement process at PT. PLN (Persero) at the BR 391 distribution substation is carried out manually during peak load hours in the field, which usually takes place between 18.00-22.00 local time. The peak load hours at distribution substations can vary, whether in the morning, afternoon or evening, sometimes even during the day. Because of this difference, determining peak load hours is still done manually by staff. However, this approach is considered inefficient. Therefore, in this research, we plan to develop a monitoring and data storage system using LoRa technology. This system will enable continuous monitoring of transformers at distribution substations, in contrast to manual methods which are only carried out during certain hours. This technology has been tested at the distribution substation BR 391 Jl. Wijaya Kusuma Medan. Observation results show that peak load hours occur between 18.00-22.00 WIB, with the highest peak load reaching R=20. 983,6 watts, S=17.031,0 watts, and T=21.801,4 watts per phase. The highest daily average power consumption was recorded at 20.00 WIB. Increased load tends to occur at night, with the highest load in the T phase