Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation...

Area of Science:

• Electrical Engineering
• Metrology
• Power Systems

Background:

• Enhancing electric power supply quality relies heavily on accurate consumption metering.
• Current advancements in metering sensors and systems provide a foundation, but measurement errors persist, leading to significant costs.
• Existing challenges necessitate the adoption of measures to counteract inaccuracies despite prior investments.

Purpose of the Study:

• To propose and discuss an optimal solution for increasing electricity readings accuracy.
• To identify and minimize measurement errors in electricity consumption metering.
• To reduce electricity losses and associated costs through improved metering accuracy.

Main Methods:

• Development of a mathematical model to address measurement errors in electricity metering.
• Proposal and testing of a specific algorithm designed to identify and minimize these errors.
• Application and validation of the proposed solution within a power distribution company.

Main Results:

• Successful identification and minimization of measurement errors were achieved.
• The proposed algorithm demonstrated effectiveness in enhancing metering accuracy.
• An average enhancement of 4% in the technological consumption of the power distribution company was recorded.

Conclusions:

• The developed mathematical model and algorithm offer an effective solution for improving electricity metering accuracy.
• Minimizing measurement errors leads to tangible reductions in electricity losses and operational costs.
• The study validates the practical applicability and benefits of the proposed approach in real-world power distribution scenarios.