Sensor-Based Smart Metering with PID Control for Energy Theft Detection and Distribution Optimization

The best and most advanced type of end-user payment and energy management plan device for electricity is a smart electricity prepaid meter. The main issue that power distribution service providers want to address is non-technical losses due to inefficiencies associated with the metering system. Unlike the traditional estimated billing methodology, this technique makes electricity use easily accountable and equitable to both consumers and power service providers. To lessen the frequency of electricity meter tampering, this study aims to develop a smarter prepaid meter. To the power distribution service providers, low revenue collection due to non-technical losses, especially tampering with electricity meters, is the main obstacle. By gaining illegal access to prepaid meters, electricity thieves can alter the proper power flow between the customer and the service provider and evade paying for electricity. The proportional integral derivative (PID) controller and a voltage sensor are the tools used to address this issue. When comparing the PID controller in closed and open loops, the products or results from each evaluation indicate that the closed-loop got 0.5 error rate while the open-loop got 0.85 error rate. Analogue meter efficiency was 65%, while smart meter system without PID got 86% efficiency. 93% efficiency being the highest was recorded with the use of smart meter system with PID. The research policy employed the strict evaluation of the sensor, the proportional integral derivative controller associated with the prepaid meter and the meter tamper response for improved distribution efficiency.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-16
DOI
https://doi.org/10.5281/zenodo.19605536
Primary Topic
Electricity Theft Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sensor-Based Smart Metering with PID Control for Energy Theft Detection and Distribution Optimization

Igbogidi O. N., Akam E. O.
Zenodo (CERN European Organization for Nuclear Research)
Electricity Theft Detection Techniques
article

Sensor-Based Smart Metering with PID Control for Energy Theft Detection and Distribution Optimization

Igbogidi O. N., Akam E. O.
article en

Abstract

The best and most advanced type of end-user payment and energy management plan device for electricity is a smart electricity prepaid meter. The main issue that power distribution service providers want to address is non-technical losses due to inefficiencies associated with the metering system. Unlike the traditional estimated billing methodology, this technique makes electricity use easily accountable and equitable to both consumers and power service providers. To lessen the frequency of electricity meter tampering, this study aims to develop a smarter prepaid meter. To the power distribution service providers, low revenue collection due to non-technical losses, especially tampering with electricity meters, is the main obstacle. By gaining illegal access to prepaid meters, electricity thieves can alter the proper power flow between the customer and the service provider and evade paying for electricity. The proportional integral derivative (PID) controller and a voltage sensor are the tools used to address this issue. When comparing the PID controller in closed and open loops, the products or results from each evaluation indicate that the closed-loop got 0.5 error rate while the open-loop got 0.85 error rate. Analogue meter efficiency was 65%, while smart meter system without PID got 86% efficiency. 93% efficiency being the highest was recorded with the use of smart meter system with PID. The research policy employed the strict evaluation of the sensor, the proportional integral derivative controller associated with the prepaid meter and the meter tamper response for improved distribution efficiency.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 7%
Electricity Theft Detection Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.