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All Journal Bulletin of Electrical Engineering and Informatics Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Armen Abta
Universitas Malikussaleh
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Enhancing Adaptive Overcurrent Protection in Multi-Loop Distribution Networks with Distributed Generation Using Genetic Algorithms Arnawan Hasibuan; Fahrian Roid; Armen Abta; Misbahul Jannah; Dedi Fariadi; Fakhruddin Ahmad Nasution
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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Abstract

Electrical energy is something that everyone needs. The increase in the use of electrical energy will increase the transmission and distribution system of electrical energy, so the electrical energy distribution system must be more reliable. Adding Distributed Generation (DG) to the distribution system can improve reliability and power quality issues. To overcome the influence of DG, a new optimization setting is needed to account for the presence of Distributed Generation. This study aims to simulate a protection system with the right relay operation time to minimize the impact of interference and apply the Genetic Algorithm method in the relay coordination setting on a multi-loop distribution network with Distributed Generation. In this study, the development will be carried out using the IEEE 9-Bus multiloop plant distribution system with the application of Distributed Generation using a Genetic Algorithm. The method in this study begins with creating a single-line diagram on ETAP, followed by the placement and determination of forward and reverse relays. Furthermore, the steps include dividing and determining loops I, II, and III for the Isc generation value in each loop. The optimization process using the Genetic Algorithm can be carried out after the Isc value of each loop is obtained. After reaching the maximum iteration value, the TDS and Ipickup values result from optimization. The value is then converted into a time domain. The genetic algorithm results with a maximum iteration value of 1500 show that the protection system coordinates more optimally and efficiently, as reviewed from the cut-off sequence and time delay value in the event of a disturbance. The total time delay value in the Genetic Algorithm calculation is 3.6027 seconds. The minimum total time delay value is the more optimal the protection system coordinates.
Household automatic clothes dryer with temperature control Misbahul Jannah; Kartika Kartika; Mukhlis Mukhlis; Muthmainnah Muthmainnah; Arnawan Hasibuan; Widyana Verawaty Siregar; Rizky Almunadiansyah; Armen Abta; Asran Asran
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.9279

Abstract

Problems arising from the impact of irregular weather changes on the process of drying clothes, especially jeans, are an obstacle for housewives. Commercial clothes dryers are expensive and can cause fabric damage. Cleanliness and dryness of clothes play a vital role in everyday life. This article offers a solution in the form of an automatic clothes dryer with a temperature controller using the Arduino Uno microcontroller. This tool has a humidity sensor, LCD screen, indicator light, heater, fan, and DC motor. When the humidity is high, the tool automatically activates the heater, fan, and red indicator light. After the drying process is complete, the green indicator light turns on, indicating that the clothes are dry. This study aims to develop other similar research by designing a clothes dryer control system based on Arduino Uno. Experiments show that this dryer is more efficient, taking 80 minutes compared to 240 minutes of manual drying in the sun. The humidity setting at 20 HR is the set point to ensure an optimal drying process. The contribution of this research lies in the development of efficient clothes dryer technology that can be implemented practically.
Co-Authors Arnawan Hasibuan Asran Asran Dedi Fariadi Fahrian Roid Fakhruddin Ahmad Nasution Kartika Kartika Misbahul Jannah Muthmainnah Muthmainnah Rizky Almunadiansyah Widyana Verawaty Siregar