Secure Smart Meter for Real-Time Usage Tracking and Anti-Theft Control

Abstract

The Secure Smart Meter for Real-Time Usage Tracking and Anti-Theft Control is designed to address a major challenge in the power sector—electricity theft. The system enables accurate and real-time monitoring of energy consumption while detecting unauthorized usage. Built around the ESP32 microcontroller, the meter uses multiple PZEM-004T energy measurement modules to measure voltage, current, power, and energy at different points in the supply line. Electricity theft is detected by comparing the measured values of the modules, where any significant mismatch indicates illegal power tapping or bypassing. Upon detection of abnormal conditions, the system automatically disconnects the supply using a relay mechanism to prevent further losses. The measured energy parameters and theft status are displayed in real time on a website, providing remote monitoring and transparency. This IoT-based solution is cost-effective, scalable, and offers a smarter alternative to conventional energy meters.

Introduction

The text describes the development of a Secure Smart Energy Meter for Real-Time Usage Tracking and Anti-Theft Control designed to address the major issue of electricity theft in power distribution systems, especially in developing countries. Electricity theft leads to financial losses for utility companies, grid instability, voltage fluctuations, and equipment overloads. To solve this problem, the proposed system uses IoT and embedded technologies to monitor energy usage and detect unauthorized power consumption.

The system uses an ESP32 microcontroller and two PZEM-004T energy monitoring modules to measure electrical parameters such as voltage, current, power, and energy consumption on both the grid (supply) side and load side. Under normal conditions, the energy measured on both sides should be almost equal. If a significant difference is detected, it indicates possible electricity theft or illegal tapping before the meter. When theft is detected, the system generates alerts and can disconnect the load using a relay. All data is also transmitted to a cloud-based web dashboard, allowing utility providers and users to monitor energy usage in real time.

The system architecture includes energy measurement, data acquisition, IoT monitoring, theft detection, and automatic control mechanisms. The ESP32 continuously compares supply-side and load-side readings to detect abnormal differences and determine whether the system is operating normally or if theft has occurred.

Before hardware implementation, the system was simulated using Proteus Design Suite to verify sensing accuracy and system behavior under different conditions:

• Off Condition: No load connected; system remains stable without false readings.

• Normal Operation: Grid and load currents are nearly equal, indicating legitimate energy consumption.

• Theft Condition: An unauthorized load causes a discrepancy between supply and load measurements, triggering theft detection, relay disconnection, and warning indicators.

The system also includes IoT-based remote monitoring, allowing real-time observation of electrical parameters through a cloud interface. This improves transparency, monitoring, and energy management.

The hardware implementation consists of components such as an MCB for protection, PZEM-004T modules with CT sensors for measurement, ESP32 for processing, relay modules for load control, and a web platform for monitoring. The results show that the system accurately detects electricity theft, responds quickly by disconnecting the load, and provides reliable real-time monitoring, making it an effective and cost-efficient solution for modern smart grid applications.

Conclusion

The proposed Secure Smart Meter provides a comprehensive solution for real-time energy monitoring and automatic electricity theft detection. By integrating voltage and current sensors with the ESP32 microcontroller, the system continuously measures energy consumption at both supply and consumer ends, ensuring accurate detection of discrepancies that may indicate theft. The use of a relay module allows immediate load disconnection in case of unauthorized usage, while the LCD display and web interface enable real-time alerts and remote monitoring. The hardware design is low-cost, scalable, and reliable, making it suitable for residential, commercial, and smart grid applications. Its dual-mode monitoring, combining local display and cloud-based dashboards, enhances user awareness and utility management capabilities. Overall, this system not only improves energy accountability but also contributes to energy conservation and efficient power distribution. Future work could involve integrating machine learning algorithms for predictive theft detection, energy forecasting, and advanced data analytics to further enhance grid intelligence.

References

[1] M. U. Saleem, M. R. Usman, and M. Shakir, “Design, implementation, and deployment of an IoT based smart energy management system,” IEEE Access, vol. 9, pp. 59649–59664, 2021. [2] R. S. Gaikwad, “IoT based smart meter using ESP32,” International Journal of Research Publication and Reviews, vol. 5, no. 5, pp. 2360–2370, 2024. [3] Y. Siregar and Y. R. P. Manurung, “Smart energy meter design with notifications and over-electric energy consumption cut-off with ESP32 MCU node using the Blynk IoT application,” 2023. [4] B. Jyothi, C. Gompa, C. Vajrapu, R. Matchetti, A. Yadla, J. S. G. Kaki, and S. S. Putcha, “A smart energy meter using IoT for monitoring and control energy via web application,” in 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM), IEEE, 2023. [5] M. Muhammad, A. Ahmed, O. Zeyad, E. Amr, M. Ahmed, H. Abdelrahman, and M. Aboelela, “IoT-based smart meter with energy theft detection,” in 2023 IEEE International Conference on Smart Applications, Communications and Networking (SmartNets), pp. 111–114, IEEE, 2023. [6] M. Alam and R. Anwar, “Power theft detection using smart meter and IoT,” in IEEE Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1–5, IEEE, 2020. [7] B. K. Barman, S. N. Yadav, S. Kumar, and S. Gope, “IoT based smart energy meter for efficient energy utilization in smart grid,” 2018. [8] K. H. D. P. Kumar and W. D. V. S. Tharuka, “Detection of electricity theft in smart grid using IoT,” in 2020 IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), pp. 1–6, IEEE, 2020.

Copyright

Copyright © 2026 Bibin Rajan, Sanju Anna Kurien, Amar M Haneefa, Sidhu Madhav S, Arya Lekshmi V, Prof. Anu George. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.