Voltage Pattern Analysis for Meter-Transformer Mapping
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Solution Overview
Problem
Utility providers face challenges in accurately identifying and correcting erroneous mappings of customer-to-transformer relationships in utility distribution systems, leading to inaccurate records and requiring manual, effort-intensive processes.
Innovation Solution
A voltage pattern analysis system and method that calculates signal correlations for meters assigned to distribution nodes, performs outlier analysis to identify misassociations, and reassigns meters to correct transformers within a specified radius, leveraging interval voltage reads from smart meters to automate the diagnosis and resolution of network topology errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual post-outage analysis or mapping tools are used to identify and correct meter-transformer misassociations, then accuracy of records can be improved, but labor effort and time consumption increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis processes with an automated voltage pattern recognition system. The system uses voltage signal correlations and statistical analysis to automatically identify misassociated meters, eliminating the need for manual field visits and post-outage analysis while maintaining high accuracy in meter-transformer mapping.
Solution Approach 2:
The system enables self-service by allowing the utility management system to automatically detect and correct its own mapping errors. Through automated voltage pattern analysis and outlier detection, the system identifies misassociations and generates correction recommendations without requiring external manual intervention, thus reducing both time and labor effort.
2Measurement precision
If field visits are conducted to verify and correct meter-transformer associations, then record accuracy improves, but operational cost and complexity increase
Solution Approach 1:
The patent replaces physical field visits with remote automated voltage pattern analysis. The system uses voltage signal correlations from existing smart meter infrastructure to identify misassociations, eliminating the need for physical inspection while maintaining verification accuracy. This substitution reduces operational complexity and cost significantly.
Solution Approach 2:
The system introduces voltage signal correlation analysis as an intermediary between the meter-transformer connection and the verification process. Instead of direct physical inspection, the voltage patterns serve as a mediator that provides indirect but accurate verification of associations, simplifying the overall process while maintaining reliability.
3Difficulty of detecting and measuring
If comprehensive mapping tools are deployed to proactively identify misassociations, then detection capability improves, but system complexity and computational requirements increase
Solution Approach 1:
The patent extracts the essential detection function from complex comprehensive mapping tools and isolates it into a focused voltage pattern analysis module. By concentrating only on voltage signal correlation and outlier detection, the system achieves high detection capability while minimizing unnecessary complexity. The extracted core function can be implemented with simpler computational requirements.
Solution Approach 2:
The system segments the detection process into distinct modular components: voltage data collection, correlation calculation, outlier detection, and correction recommendation. This segmentation allows each component to be optimized independently and simplifies the overall system architecture, reducing computational requirements while maintaining comprehensive detection capability.
Data Source
AI summary
A voltage pattern analysis system and method may automate aspects of the process of mapping or assigning utility meters to a specific transformer or other distribution node by identifying misassociated meters and correcting a system-wide transformer assignment or distribution node assignment. When a meter's voltage signal does not correlate well with other meters' voltage signals on the same transformer, the meter is likely misassociated to that transformer. A pairwise voltage signal correlation may be computed for all meters assigned to a transformer and a voltage signal correlation for every transformer in the system, or a subset thereof, may be imputed. Individual meter correlations may then be compared with the transformer correlation. For meters identified as misassociation candidates, transformers or other distribution nodes within a specified radius may be considered for reassignment of the meter.