Implementasi Kalman Filter Untuk Optimasi Pengukuran Daya Menggunakan Sensor Pzem-004t Berbasis IoT

Sugesti, Gandi (2024) Implementasi Kalman Filter Untuk Optimasi Pengukuran Daya Menggunakan Sensor Pzem-004t Berbasis IoT. Undergraduate thesis, Politeknik Negeri Bengkalis.

	Text (Abstract) TA-3204201322-Abstract.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (178kB)
	Text (Bab I Pendahuluan) TA-3204201322-Bab I Pendahuluan.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (105kB)
	Text (Daftar Pustaka) TA-3204201322-Daftar Pustaka.pdf - Submitted Version Available under License Creative Commons Attribution Share Alike. Download (96kB)
	Text (Full Text) TA-3204201322-Full Text.pdf - Submitted Version Restricted to Registered users only Available under License Creative Commons Attribution Share Alike. Download (1MB) | Request a copy

Abstract

Real-time measurement and monitoring of electrical power are crucial in energy management systems to enhance efficiency and reduce unnecessary power consumption. This study involves the development of a power monitoring system based on the ESP8266 microcontroller using the PZEM-004T sensor to measure electrical parameters such as voltage, current, active power, and energy. The system is equipped with a Kalman filter to reduce noise and improve measurement accuracy. The Kalman filter is used in the process of estimating electrical parameters to produce more stable and reliable data, especially under fluctuating or noisy signal conditions. Data obtained from the PZEM sensor is wirelessly transmitted via the Wi-Fi module on the ESP8266 to a server or cloud platform for remote monitoring. Test results show that the application of the Kalman filter can smooth measurement data and provide more accurate power estimates compared to measurements without the filter. The system developed not only offers an efficient and low-cost solution for electrical power monitoring but can also be int`egrated into various smart home and industrial energy management applications.

Item Type:	Thesis (Undergraduate)
Contributors:	Contribution Contributors Email NIDN/NIDK Thesis advisor Marzuarman, Marzuarman marzuarman@polbeng.ac.id NIDN0012039003
Uncontrolled Keywords:	Power Monitoring/Power Measurement
Subjects:	410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 451 Teknik Elektro
Divisions:	Jurusan Teknik Elektro > Sarjana Terapan Teknik Listrik > TUGAS AKHIR
Depositing User:	TEKNIK lISTRIK
Date Deposited:	02 Sep 2024 06:08
Last Modified:	02 Sep 2024 06:15
URI:	http://eprints.polbeng.ac.id/id/eprint/14647

Actions (login required)

View Item