Jothi, M and SrinevasanM, M and Balajee, B and Amarnath Prabhakaran, A and SudharsanaVigneshwaran, A and Samuvel, R (2025) Intelligent IoT Based power factor correction system for Inductive loads. Proceedings of the 6th International Conference on Mobile Computing and Sustainable Informatics (ICMCSI-2025).
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Abstract
The proposed system combines smart metering with an utomatic power factor correction system based on the Internet of Things. It is customized to improve household settings' use of energy efficiently. The IoT system in the suggested system provides automated power factor adjustment, smart energy management, and real-time monitoring. Using voltage sensor modules and current sensor modules, the full Internet of Things with microcontroller detects the voltage and current of the load. To determine the power and power factor used by the electrical load or appliances linked to the load, a mathematical operation is carried out in addition to the sensor value. The Thingspeak application on the IoT
platform is used to view the power, power factor, and
energy consumption by load throughout the length of the
day. The Thingspeak application facilitates easy navigation
of the electrical power and power factor for the user. When
the power factor value is excessively low, less than 0.95 to
0.85, the Power Factor Correction (PFC) capacitor bank
arrangement is connected to the load. When the capacitor is
separated from the load, the load's power factor value falls
within the acceptable range of 1.0 to 0.95. Because the load
current and power factor are inversely related, the power
factor affects it. The cost of power consumption will also rise in tandem with an increase in load current. Smart sensors and IoT systems combined with PFC capacitor banks allow customers to reduce costs, increase energy efficiency, and lessen their environmental effects.
| Item Type: | Article |
|---|---|
| Subjects: | Science and Humanities > Physics |
| Divisions: | Engineering > Electrical and Electronics Engineering |
| Depositing User: | Unnamed user with email techsupport@mosys.org |
| Date Deposited: | 05 Feb 2026 06:34 |
| Last Modified: | 05 Feb 2026 06:34 |
| URI: | https://ir.dsce.ac.in/id/eprint/134 |
