Transformer Meter Connection Mapping Using Time Correlation
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Solution Overview
Problem
Accurate electrical grid models are hindered by incomplete or incorrect data on connections between distribution transformers and electrical meters, limiting the effectiveness of simulations, maintenance, and capacity planning, especially with the integration of distributed energy sources.
Innovation Solution
A method to determine initial connections between distribution transformers and meters using seed measurements, followed by time-based correlations of electrical measurements to predict and associate other connections, enhancing grid models for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional grid modeling methods are used without accurate transformer-meter connection data, then the grid model remains incomplete and inaccurate, but the complexity of determining connections and the time required for data collection increase
Solution Approach 1:
The connection determination process is segmented into distinct phases: initial seed connection determination using non-electrical data (geospatial, imagery), followed by iterative electrical measurement correlation for remaining meters. This segmentation allows the complex problem to be solved in manageable steps, improving grid model accuracy without overwhelming system complexity
Solution Approach 2:
The system performs preliminary actions by first determining seed connections using non-electrical data before proceeding to electrical measurement correlation. This preliminary geospatial and imagery-based association creates a foundation that accelerates the overall connection determination process and improves initial grid model accuracy
2Measurement precision
If comprehensive electrical measurements are collected from all meters to determine connections, then connection accuracy improves, but the time and computational resources required increase
Solution Approach 1:
The system applies partial action by determining connections for seed meters using non-electrical data without requiring comprehensive electrical measurements from all meters initially. This approach achieves sufficient connection accuracy for critical seed connections while reducing overall data collection time, with electrical measurements subsequently used only for correlating remaining meter connections
Solution Approach 2:
Non-electrical data (geospatial information, imagery) is utilized preliminarily to establish seed connections before electrical measurements are collected. This preliminary action reduces the overall time required for connection determination by pre-identifying likely transformer-meter associations, requiring electrical measurements only for correlation and verification
3Measurement precision
If non-electrical data such as geospatial and imagery information is used to determine seed connections, then the initial connection accuracy improves, but the complexity of integrating multiple data sources increases
Solution Approach 1:
The system merges multiple data sources (geospatial information, imagery data, electrical measurements) into a unified connection determination framework. By combining these diverse data types, the system achieves high seed connection accuracy while managing integration complexity through a structured approach that processes each data source according to its specific characteristics
4Productivity
If time-based correlation is performed within a predefined time window, then computational efficiency improves, but the risk of missing correlations outside the window increases
Solution Approach 1:
The system adjusts the time window parameter based on the specific characteristics of electrical measurements and correlation requirements. By optimizing this parameter, the system achieves a balance between computational efficiency (faster processing with smaller windows) and correlation detection reliability (ensuring all relevant correlations are captured), thereby resolving the contradiction between productivity and reliability
Data Source
AI summary
Methods, systems, and apparatus, including medium-encoded computer program products, for transformer connection mapping in an operating electric power grid. The system can determine that a first utility meter is fed by a transformer in an electrical power distribution network based on a geographic distance between the first utility meter and the transformer as determined from non-electrical data. The system can obtain first electrical measurements from the first utility meter at predetermined time intervals and second electrical measurements from a second utility meter at the predetermined time intervals. The system can determine a likelihood that the second utility meter is fed by the transformer by, at least, performing a time-based correlation between the first electrical measurements and the second electrical measurements within a predefined time window. The system can associate a load supplied through the second utility meter with the transformer in a computer model of the electrical power distribution network.