一种适用于极端环境的多回路电能表计量误差补偿方法
By using multi-channel synchronous sampling and dimensionless normalization processing of multi-loop energy meters, a dynamic residual state and predicted energy error model are constructed, which solves the metering error problem of multi-loop energy meters under extreme environments and achieves stable and high-precision metering results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YANTAI DONGFANG WISDOM ELECTRIC
- Filing Date
- 2026-05-06
- Publication Date
- 2026-07-17
AI Technical Summary
Multi-loop energy meters exhibit significantly increased measurement errors under extreme environments. Existing technologies lack the ability to uniformly model the combined effects of multiple factors such as temperature, humidity, reference source drift, and clock offset, failing to reflect the time lag and cumulative characteristics of energy meter measurement errors. This leads to compensation failure or overcompensation, making it difficult to achieve long-term stable and high-precision measurement.
Multi-channel synchronous sampling is performed using multi-loop energy meters, and dimensionless normalization is applied to calculate the comprehensive disturbance intensity, construct the dynamic residual state, generate the predicted energy error, and combine the historical compensation cumulative energy value for error correction. A recursive model with self-feedback, mutual feedback, and rate of change suppression is constructed to uniformly handle the effects of thermal coupling and electromagnetic coupling.
It accurately reflects the error formation mechanism under complex power consumption scenarios, improves the physical rationality and controllability of metering results, quickly responds to environmental changes and converges stably in long-term operation, reduces cumulative error drift, and improves metering stability.
Smart Images
Figure CN122172107B_ABST