Transformer Phase Detection via Power-Current Correlation
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Solution Overview
Problem
In power distribution systems, determining the transformer connection phase is challenging, especially when there is limited data on power consumption for all consumers, as existing methods rely on complete data sets and are costly and time-consuming, particularly with the introduction of distributed power sources like solar power, which cause voltage management issues.
Innovation Solution
A device and method that acquire power and current values from consumers and transformers, compute frequency components, and calculate correlation coefficients to determine the transformer connection phase using correlation analysis, even with incomplete data sets, by selecting a processor to execute processes such as consumer selection, current computation, frequency analysis, and correlation coefficient calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing phase determination methods are used that rely on complete power consumption data from all consumers, then measurement precision is improved, but device complexity and cost increase significantly
Solution Approach 1:
The invention extracts only the necessary information (power consumption data from consumers connected to the transformer in question) rather than requiring complete data from all consumers in the system. This selective extraction approach reduces the complexity of the data collection system while maintaining sufficient accuracy for connection phase determination.
Solution Approach 2:
The invention introduces an intermediary computational approach that uses correlation analysis between power consumption patterns and distribution line current patterns. This intermediary method allows accurate phase determination without requiring direct access to all consumer data, thereby reducing system complexity.
2Measurement precision
If complete data sets from all consumers are collected for phase determination, then determination accuracy is improved, but loss of time increases due to data collection requirements
Solution Approach 1:
The invention performs preliminary filtering to identify only those consumers who are connected to the transformer being analyzed. This preliminary action eliminates the need to collect and process data from all consumers in the system, thereby reducing data collection time while maintaining determination accuracy.
Solution Approach 2:
The invention applies partial action by collecting data only from the subset of consumers connected to the specific transformer, rather than from all consumers in the distribution system. This partial data collection is sufficient for accurate phase determination and significantly reduces the time required.
3Measurement precision
If traditional phase determination methods are used, then measurement precision is maintained, but productivity decreases due to manual or complex automated processes
Solution Approach 1:
The invention replaces complex mechanical or manual data collection and analysis processes with an automated computational system that uses correlation analysis. This substitution dramatically improves productivity by automatically processing power consumption data and current data to determine connection phases without manual intervention.
Solution Approach 2:
The system performs self-service by automatically identifying consumers connected to the transformer, collecting their power consumption data, and analyzing the correlation with distribution line currents. This automated self-service approach eliminates the need for external manual processes and significantly increases determination efficiency.
Data Source
AI summary
A transformer connection phase determination device includes a processor that executes a process. The process includes: acquiring a power value consumed by at least one consumer connected to a transformer that is connected to a phase corresponding to a combination of two of plural distribution lines, and acquiring respective current values flowing in the plural distribution lines; computing a frequency component of the power value or of a current value caused by the power value, and a frequency component of the respective current values flowing in the plural distribution lines; and computing respective correlation values indicating a correlation between the power value or the current value caused by the power value and the respective current values flowing in the plural distribution lines, using each of the computed frequency components, and determining the phase to which the transformer is connected based on the respective correlation values.