Electricity Meter Self-Verification Using Test Current Injection
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Solution Overview
Problem
Smart electricity meters face challenges in accurately evaluating the accuracy of their measurement devices over time, leading to potential overestimation or underestimation of energy consumption, which is difficult to assess without operator intervention.
Innovation Solution
An automated evaluation method within the electricity meter that detects stability periods, injects a test current, and compares measurements to assess accuracy, allowing for reliable verification without human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If operator intervention is used to verify measurement accuracy, then measurement accuracy can be verified, but it is expensive and inconveniences the customer
Solution Approach 1:
The electricity meter performs self-diagnosis by automatically injecting test currents and comparing measurement results with expected values, enabling the device to verify its own measurement accuracy without external operator intervention. This self-service approach eliminates the need for expensive manual verification while maintaining measurement precision.
Solution Approach 2:
The measurement accuracy verification is performed periodically by injecting test currents at predetermined intervals and comparing results with pre-calculated expected values. This periodic automated checking ensures continuous accuracy verification without requiring continuous operator presence or customer intervention.
2Measurement precision
If operator intervention is used to verify measurement accuracy, then measurement accuracy can be verified, but it increases costs
Solution Approach 1:
The automated self-verification system eliminates the need for paid operator interventions by performing accuracy checks internally using built-in test current injection capabilities and pre-stored expected value tables, significantly reducing verification costs while maintaining measurement accuracy.
Solution Approach 2:
Expected measurement values are pre-calculated and stored in the meter's memory before actual measurements occur. During verification, the meter simply compares real-time measurements against these pre-prepared reference values, enabling rapid automated verification without requiring expensive external calibration equipment or expert operators.
3Reliability
If sensors drift over time, then measurement accuracy degrades, but detecting this drift is complicated
Solution Approach 1:
The system continuously monitors measurement results by comparing actual measurements with expected values derived from known test current injections. When discrepancies exceed predetermined thresholds, the system identifies sensor drift and can trigger alerts or automatic compensation, providing continuous feedback on measurement reliability without complex external monitoring equipment.
Data Source
AI summary
A method of evaluating the accuracy of an electricity meter, the method comprising: a preliminary stage comprising a step of acquiring first measurements of a first electrical magnitude, and a step of detecting a period of stability; a test stage comprising a step of injecting a test current into a conductor of the electricity meter, and a step of acquiring at least one second measurement of the first electrical magnitude; an evaluation stage comprising a step of comparing the second measurement of the first electrical magnitude with the sum of a first stability value representative of the first electrical magnitude during the period of stability plus a predefined value corresponding to the expected increase in the first electrical magnitude due to injecting the test current, and a step of evaluating the accuracy of the meter from said comparison.