Perbaikan Faktor Daya Otomatis Pada Jaringan 3 Fasa Berbasi IoT

Alfaterrano, Altezza Monterra and , Hasyim Asy'ari, S.T., M.T (2024) Perbaikan Faktor Daya Otomatis Pada Jaringan 3 Fasa Berbasi IoT. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

Power factor is the comparison value between active power (watts) and apparent power or total power (VA), or it can also be called the cosine value of the angle between active power and apparent power. In the industrial world, this is very important because there is a regulation from PLN regarding the standard power factor value used in industry, namely a minimum of 0.85 to close to 1. This research aims to help lower to upper level industries to solve power factor problems that have been regulated by PT. PLN. Poor power factor values are caused by induction loads, for example 3-phase electric motors. If the power factor value in an industry is below the specified standard value, the industry will receive a fine. The method used to improve this power factor uses capacitors to help meet the required KVAR value. The method used in this research is to improve the power factor automatically using a PZEM-004T sensor to read voltage, current, power and power factor values. Sensor readings are used as parameter values displayed and as a comparison to standard power factor improvement values. The way to read the current value in the electrical network is that the microcontroller that gets information from the sensor will activate the relay to help activate the capacitor. Capacitors connected to a network automatically improve the KVAR in the electrical network so that it produces a good power factor value that is in accordance with your wishes. These results will help the industry avoid fines caused by poor power factors produced. Apart from that, this tool can also detect remotely using the help of Thinger.io as an IoT monitoring platform.

Item Type:	Thesis (Skripsi)
Uncontrolled Keywords:	motor induksi 3 fasa, faktor daya, kapasitor, PZEM-004T, Internet of Things (IoT).
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK01 Weak flow T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK02 High Voltage T Technology > TN Mining engineering. Metallurgy T Technology > TZ Technical Information > TA02 Software. Aplication > Pemograman
Divisions:	Fakultas Teknik > Teknik Elektro
Depositing User:	ALTEZZA MONTERRA ALFATERRANO
Date Deposited:	05 Feb 2024 13:46
Last Modified:	05 Feb 2024 13:46
URI:	http://eprints.ums.ac.id/id/eprint/120771

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