Consumer Phase Connectivity Identification Using Voltage Correlation
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Solution Overview
Problem
Current low-voltage distribution networks face challenges in accurately identifying consumer phase connectivity due to incomplete user data, leading to inefficiencies and high operational costs, particularly in three-phase unbalance treatment and power outage repairs.
Innovation Solution
A method utilizing voltage association characteristics to classify users and determine initial consumer phase connectivity, relying solely on voltage data without additional terminal devices, thereby reducing human costs and improving efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual detection methods are used for topology identification, then device complexity is reduced, but measurement precision and productivity deteriorate due to time-consuming operations and human errors
Solution Approach 1:
The patent replaces manual mechanical detection with an automated data analysis system that uses voltage data processing and correlation coefficient calculations to identify topology relationships, eliminating human intervention while maintaining high accuracy
Solution Approach 2:
The patent introduces voltage data as an intermediary element that indirectly reveals topology information through correlation analysis, avoiding direct physical measurement while achieving accurate identification
2Measurement precision
If signal receiving devices are installed for topology identification, then measurement precision improves, but device complexity and loss of substance increase due to capital investment and maintenance requirements
Solution Approach 1:
The patent enables the existing voltage measurement system to serve dual purposes by using voltage data not only for normal operation but also for automatic topology identification, eliminating the need for separate signal receiving devices
Solution Approach 2:
The patent makes the voltage measurement system multi-functional by extracting topology information from the same voltage data used for power quality monitoring, allowing one system to perform multiple functions without additional hardware
3Ease of operation
If conventional identification methods are used with incomplete user data, then ease of operation is maintained, but measurement precision deteriorates due to inability to identify consumer phase connectivity
Solution Approach 1:
The patent achieves complete topology identification by analyzing voltage data from a subset of users with complete information and propagating the results, rather than requiring complete data from all users
Solution Approach 2:
The patent divides the identification process into segments: first identifying topology for users with complete data, then using correlation analysis to extend identification to users with incomplete data, solving the problem in parts
Data Source
AI summary
A method for identifying consumer phase connectivity in low-voltage distribution network based on voltage association characteristics is provided. The specific steps thereof are: first, acquiring users to be identified and voltage time series data of three-phase buses on the low-voltage side of the low-voltage distribution network where the users to be identified are located; then, calculating voltage time series curve correlation coefficients among the users, and classifying a user having the maximum voltage time series curve correlation value with respect to the user into one category to form a user category set; then, based on the user classification, determining an initial consumer phase connectivity according to voltage association characteristics between the users and the three-phase buses on the low-voltage side of the low-voltage distribution network; finally, verifying the initial consumer phase connectivity according to the voltage association characteristics among the users to obtain a final consumer phase connectivity identification result.