Measurement Domain Error Analysis via Single Load Jump
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Solution Overview
Problem
Existing error analysis methods for power supply systems cannot accurately determine the error status of the whole measurement domain and relative errors of abnormal meters, despite being able to analyze individual meter errors.
Innovation Solution
A method and system that analyze the error of a measurement domain based on a single load jump by measuring load data from master and sub-meters, calculating error deviation degrees, and performing statistical analysis to evaluate the overall error status, identifying faulty meters and temporary influence factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional error analysis methods are used for individual meters, then individual meter error can be analyzed, but the error status of the whole measurement domain cannot be analyzed
Solution Approach 1:
The patent segments the measurement domain into a master meter and multiple sub-meters, analyzing errors at both the individual sub-meter level and the aggregate measurement domain level. By dividing the measurement system into hierarchical components, the method enables simultaneous analysis of individual meter errors and overall domain error status.
Solution Approach 2:
The patent combines error analysis from multiple sub-meters with the master meter to achieve comprehensive measurement domain error analysis. By merging individual sub-meter error data with the master meter reading, the system evaluates both individual component errors and the overall system error status.
2Measurement precision
If comprehensive error calculation under harmonic condition is performed, then measurement mode error and calculation accuracy error can be obtained, but the error status of the whole measurement domain and relative error of abnormal meters cannot be analyzed
Solution Approach 1:
The patent implements feedback by comparing the master meter reading with the sum of sub-meter readings, calculating error deviation degrees, and using this feedback to identify abnormal meters and determine overall error status. The system continuously monitors and adjusts error analysis based on the deviation feedback from each measurement cycle.
Solution Approach 2:
The patent introduces an intermediary error deviation degree calculation that bridges the gap between individual sub-meter errors and overall measurement domain error status. This intermediary metric enables the system to translate detailed sub-meter error data into meaningful overall error assessments and abnormal meter identification.
3Device complexity
If error analysis is performed without considering influence factors, then analysis process is simple, but errors caused by temporary influence factors affect analysis accuracy
Solution Approach 1:
The patent performs preliminary identification and filtering of temporary influence factors before final error analysis. By detecting and excluding measurements affected by temporary influences in advance, the system ensures that subsequent error analysis is based on reliable data, improving accuracy without significantly increasing overall complexity.
Solution Approach 2:
The patent converts the potential harm of temporary influence factors into a benefit by using them as indicators for identification and exclusion. By detecting anomalies caused by temporary influences and systematically excluding them from analysis, the system transforms data quality issues into a structured filtering process that improves overall analysis reliability.
Data Source
AI summary
A method and system for analyzing the error of a measurement domain based on a single load jump and a computer-readable storage medium are provided. According to the method and the system, high-density measurement is performed on the load of a master meter and sub-meters in a measurement domain for a long time to obtain massive load data. After that, based on a single load jump, a load measurement difference of the master meter before and after the jump, and a load measurement difference of a jumping sub-meter before and after the jump are obtained. The error deviation degree of the jumping sub-meter relative to the master meter is uniquely defined. After statistical data of error deviation degrees of all the sub-meters relative to the master meter is obtained, error analysis is performed on the whole measurement domain based on the statistical data.