Power Grid Phase Connection Detection Using Voltage Time-Series Clustering
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Solution Overview
Problem
Power grids face challenges in determining accurate phase connections of grid components due to limited and poor-quality data, which hinders advanced grid control solutions and model-based control methods, especially with the increasing complexity from variable renewable resources and electrification of sectors.
Innovation Solution
A method that assesses relative similarity of time series of measured voltage data by clustering and determining phase connections based on majority votes and similarity values, using dimensionality reduction techniques and cluster validity indices, to improve data accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional oversized design is used to ensure reliability under severe loading conditions, then system reliability is improved, but device complexity and cost increase
Solution Approach 1:
The patent changes the operational parameters of the power grid by implementing real-time monitoring and control mechanisms that allow the system to dynamically adjust to loading conditions. This enables the grid to maintain reliability without requiring oversized infrastructure, as the system can optimize performance based on actual demand patterns and component status.
2Measurement precision
If advanced monitoring tools are deployed to improve grid observability, then measurement precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the monitoring system into distributed measurement units placed at various grid nodes, each collecting local data independently. This segmentation allows the system to achieve comprehensive grid observability without requiring a single complex centralized monitoring system, thereby improving measurement precision while managing system complexity through modular architecture.
Solution Approach 2:
The patent introduces data processing intermediaries that aggregate and filter measurements from multiple sources before presenting information to operators or control systems. These intermediaries reduce the complexity of raw data handling by preprocessing information, thereby maintaining high measurement precision while simplifying the overall system architecture.
3Productivity
If model-based grid control solutions are implemented to optimize grid performance, then productivity is improved, but reliability decreases due to poor data quality in database records
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor data quality and validate database records against real-time measurements. This feedback loop identifies and corrects errors in GIS and other database records, ensuring that model-based control solutions operate on accurate data. Consequently, the system achieves high productivity through optimized control while maintaining reliability by preventing errors from propagating through the control models.
Data Source
AI summary
The present disclosure relates to a method for determining phase connections of grid components in a power grid, the method comprising assessing a relative similarity of time series of measured voltage data of the grid components by clustering the time series of measured voltage data of the grid components; grouping the grid components into a plurality of clusters based on the assessing a relative similarity; and assessing a phase connection of the grid components in each cluster of the plurality of clusters. The present disclosure also relates to a respective device and computer program.