Smart Grid Security: Detecting Energy Meter Bypass with Wireless Technology

Electricity theft is a persistent issue that leads to substantial financial losses for utility providers,especially in developing countries like India. It is estimated that nearly 32% of the electricity consumedgoes unpaid due to unauthorized usage, with one of the most common methods being the bypassing ofenergy meters. This not only violates the contractual agreement between the consumer and the supplier butalso puts additional strain on energy resources and affects overall power distribution efficiency. To addressthis problem, a wireless electricity theft detection system is proposed, designed to identify unauthorizedconsumption and support real-time reporting. The system architecture includes a microcontroller, acalibrated digital energy meter, and a ZIGBEE wireless communication module. It continuously monitorsactual energy consumption and compares it with expected usage data. Any deviation indicating potentialtampering or bypassing triggers an automatic alert, which is wirelessly transmitted to the concernedelectricity board or utility provider. ZIGBEE technology is utilized due to its advantages in low powerconsumption, cost efficiency, and secure short-range communication. Beyond electricity monitoring, thesystem is versatile and can be adapted to detect theft in other utilities such as gas, oil, or fuel by integratingappropriate metering devices. This makes the solution scalable and beneficial across various sectors. Bydeploying such smart systems, utility agencies can reduce losses, ensure accurate billing, and promoteresponsible energy usage. The implementation of this technology represents a step forward in achievingtransparency, operational efficiency, and sustainable resource management.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-04
DOI
https://doi.org/10.5281/zenodo.15335983
Citations
1
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
4.33
Controls
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article

Smart Grid Security: Detecting Energy Meter Bypass with Wireless Technology

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Subterranean biodiversity and taxonomy
4.33
article

Smart Grid Security: Detecting Energy Meter Bypass with Wireless Technology

article en
1 citations

Abstract

Electricity theft is a persistent issue that leads to substantial financial losses for utility providers,especially in developing countries like India. It is estimated that nearly 32% of the electricity consumedgoes unpaid due to unauthorized usage, with one of the most common methods being the bypassing ofenergy meters. This not only violates the contractual agreement between the consumer and the supplier butalso puts additional strain on energy resources and affects overall power distribution efficiency. To addressthis problem, a wireless electricity theft detection system is proposed, designed to identify unauthorizedconsumption and support real-time reporting. The system architecture includes a microcontroller, acalibrated digital energy meter, and a ZIGBEE wireless communication module. It continuously monitorsactual energy consumption and compares it with expected usage data. Any deviation indicating potentialtampering or bypassing triggers an automatic alert, which is wirelessly transmitted to the concernedelectricity board or utility provider. ZIGBEE technology is utilized due to its advantages in low powerconsumption, cost efficiency, and secure short-range communication. Beyond electricity monitoring, thesystem is versatile and can be adapted to detect theft in other utilities such as gas, oil, or fuel by integratingappropriate metering devices. This makes the solution scalable and beneficial across various sectors. Bydeploying such smart systems, utility agencies can reduce losses, ensure accurate billing, and promoteresponsible energy usage. The implementation of this technology represents a step forward in achievingtransparency, operational efficiency, and sustainable resource management.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 5%
Subterranean biodiversity and taxonomy
4.33
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