Design and Implementation of a Real-Time Monitoring System for a 150 kV Substation with Multi-Platform Notification and Visualization

English

Authors

  • Eka Anggara Yuda Kartika Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
  • Rachmat Muwardi Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
  • Rizky Rahmatullah National Research and Innovation Agency (BRIN)
  • Mirna Yunita School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China
  • Yuliza Yuliza Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia
  • Akhmad Wahyu Dani Department of Electrical Engineering, Universitas Mercu Buana, Jakarta, Indonesia

DOI:

https://doi.org/10.31763/iota.v5i2.942

Keywords:

IoT irrigation systems, precision agriculture, water conservation, wireless sensor networks, smallholder farming, cost-benefit analysis

Abstract

This paper presents the development and implementation of an innovative real-time monitoring and notification system for a 150 kV electrical substation, leveraging Raspberry Pi 3, Node-RED, MySQL, and Firebase. The system measures key electrical parameters such as voltage, current, power, and frequency using sensors connected to a Programmable Logic Controller (PLC). The data is processed and displayed through a single-line diagram on both a web-based dashboard and an Android application. Color-coded indicators, controlled by JavaScript, reflect real-time equipment status, with normal conditions marked in red and fault conditions indicated in black. The novelty of this system lies in its integration of real-time data processing, dynamic visualization, and multi-channel notification mechanisms, combining web, mobile app, and messaging services like WhatsApp and email for operator alerts. This multi-layered approach improves operator response time and enhances monitoring accuracy, especially in remote or field environments. Experimental tests, including high-voltage and low-voltage fault simulations, demonstrated the system’s ability to accurately detect faults and communicate them through the notifications in real-time, with an average measurement error of just 1.56%. The system not only provides enhanced situational awareness but also offers an efficient, cost-effective solution for remote substation monitoring, ensuring continuous supervision and immediate response to power system anomalies.

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Published

2025-05-27