SISTEM MONITORING ONLINE PENGGUNAAN ENERGI LISTRIK 3 FASA BERBASIS ESP32

MOHAMAD ALVAREZ REYZAL KHASTUBI, . (2023) SISTEM MONITORING ONLINE PENGGUNAAN ENERGI LISTRIK 3 FASA BERBASIS ESP32. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Untuk mengetahui jumlah pemakaian listrik adalah dengan cara mengukur energi listrik tersebut menggunakan alat pengukur energi listrik. Penelitian ini bertujuan untuk merancang sistem monitoring online energi listrik 3 fasa yang dapat membaca tegangan efektif, arus efektif, daya semu dan energi listrik (kWh) menggunakan Arduino Mega sebagai pembaca sensor PZEM-004T dan ESP32 sebagai kontrolernya. Sistem terdiri dari 4 sistem: (1) Sensor PZEM-004T sebagai sensor yang dapat membaca Vrms, Irms, daya semu dan kWh (2) Arduino Mega 2560 sebagai penghubung dan pembaca sensor (3) controller ESP32 yang dilengkapi WiFi (4) Internet of Things. Sistem monitoring online penggunaan energi listrik 3 Fasa berbasis ESP32 telah selesai dibuat, diuji, dan dibandingkan dengan menggunakan 3 Phase Multifunction Meter PD-3ST3 dan Alat monitoring ini memiliki tingkat akurasi pengukuran arus efektif R sebesar 99,50% atau error sebesar -0,50 %, akurasi pengukuran arus efektif S sebesar 99,30% atau error sebesar -0,70 % dan akurasi pengukuran arus efektif T sebesar 98,98% atau error sebesar -1,02%. Akurasi pengukuran tegangan efektif R sebesar 99,99% atau error sebesar +0,01%, akurasi pengukuran tegangan efektif S sebesar 99,99% atau error sebesar +0,01 % dan akurasi pengukuran tegangan efektif T sebesar 99,89% atau error sebesar +0,11%. Akurasi pengukuran daya semu R sebesar 99,48% atau error sebesar +0,52%, akurasi pengukuran daya semu S sebesar 99,28% atau error sebesar +0,72 % dan akurasi pengukuran daya semu T sebesar 98,48% atau error sebesar +1,52%. ***** To find out the amount of electricity consumption is by measuring the electrical energy using an electric energy meter. This study aims to design an online monitoring system 3-phase electrical energy that can read effective voltage, effective current, apparent power and electrical energy (kWh) using Arduino Mega as a PZEM-004T sensor reader and ESP32 as a controller. The realized system consists of 4 systems: (1) PZEM004T sensor as a sensor that can read Vrms, Irms, apparent power and kWh `(2) Arduino Mega 2560 as a link and sensor reader (3) ESP32 controller equipped with WiFi (4) Internet of Things. The prototype of an online monitoring system for the use of 3-phase electrical energy based on ESP32 has been completed, tested, and compared using a 3-phase multifunction meter PD-3ST3 and tools. monitoring it has an accuracy rate of measuring the effective current R of 99.50% or an error of -0,50%, an accuracy of measuring the effective current S of 99,30% or an error of -0,70% and an accuracy of measuring the effective current T of 98.98 % or an error of -1,02%. The accuracy of the measurement of the effective voltage R is 99.99% or an error of +0.01%, the accuracy of the measurement of the effective voltage of S is 99.99% or an error of +0.01% and the accuracy of the measurement of the effective voltage of T is 99.89% or an error by +0.11%. The apparent power measurement accuracy R was 99.48% or an error of +0,52%, the apparent power measurement accuracy was 99.28% or -0.72% error and the apparent power measurement accuracy T was 98.48% or an error +1,52%.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Baso Maruddani, M.T. ; 2). Drs. Pitoyo Yuliatmojo, M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Users 16951 not found.
Date Deposited:	24 Feb 2023 07:25
Last Modified:	24 Feb 2023 07:25
URI:	http://repository.unj.ac.id/id/eprint/37253

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