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All Journal International Journal of Electrical and Computer Engineering Semesta Teknika Journal of Electrical Technology UMY Emerging Information Science and Technology
Karisma Trinanda Putra
Universitas Muhammadiyah Yogyakarta
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Library & Information Science

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Journal : Emerging Information Science and Technology

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Power Flow Analysis of Electrical Network Systems Using Gauss-Seidel Method and Python Anna Nur Nazilah Chamim; Karisma Trinanda Putra; Muhammad Fahrul Al Farisi
Emerging Information Science and Technology Vol 4, No 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18698

Abstract

This study aims to analyze the power flow in a 150kV radial power system on the island of Bali, the reason the author uses the Bali island system is because the number of busbars in the system is not too many and the data on the system is known. The problem of this research is limited by determining the voltage, power flow, and power losses in the system. The method used in this study is the Gauss-Seidel method through simulation with the help of Visual Studio Code software and the Python 3.9.2 program. The simulation is carried out by producing a total of 8 iterations. The simulation is carried out to find the parameters of the load voltage, apparent power on the slack bus, current, power flow and power losses on the line. The simulation results show that, under a load condition of 70% of the load transformer capacity, the voltage at the load bus node experiences a voltage drop, reaching 4.48% at bus 10. So when the system operates for generation conditions, the power that can be generated is 1,275.6 MegaWatt of the total generator installed, and the power delivered to each bus node is 2,090 MVa and the power losses in the system are 3.69% of the total power distributed to the bus nodes
Design a Two-Axis Sensorless Solar Tracker Based on Real Time Clock Using MicroPython Karisma Trinanda Putra; Ahmad Zaki Arrayyan; Ramadoni Zaki Syahputra; Yoga Agil Pamungkas; Mosiur Rahaman
Emerging Information Science and Technology Vol 4, No 1 (2023): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i1.18697

Abstract

Since the majority of the electrical energy required to meet consumer demands is still produced by the typical power plant using fossil fuels, the world's electricity supply will eventually approach a critical point due to the steady depletion of fossil fuels. One solution to replacing energy derived from fossil fuels is solar energy. However, the results of energy generation are significantly influenced by the angle of the solar panels to the direction of sunlight. Therefore, in order to optimize the production of electrical energy, a microcontroller system that can track sunlight is developed using MicroPython. This research calculated the azimuth angle and elevation angle to create a solar tracker that can follow the sun's position based on time. The results of this research reveal that solar trackers at 21.30 volts and rooftop solar panels at 20.44 volts when both produce open circuit voltage. With an solar tracker, solar panels may operate up to at a 20% efficiency in sunny conditions, compared to an average efficiency of 18% for rooftop solar panels.
Co-Authors Ahmad Zaki Arrayyan Anna Nur Nazilah Chamim Apriani, Yosi Cahya Darmarjati Faaris Mujaahid Faruliyan Arya Ferisnanda Febrian Dhimas Syahfitra Iswanto Iswanto Jusman, Yessi Maemonah, Maemonah Mosiur Rahaman Muhammad Fahrul Al Farisi Noor Pratama Apriyanto Prayitno Ramadoni Syahputra Ramadoni Zaki Syahputra Sunardi, Sunardi Suripto, Slamet Toha Ardi Nugraha Widodo, Agung Mulyo Wiyagi, Rama Okta Yoga Agil Pamungkas