Distribution Grid Power Quality Monitoring With Predictive Analytics
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Solution Overview
Problem
Conventional power quality monitoring in distribution grids focuses on individual nodes, failing to account for dynamic changes and fluctuations across the grid, which can affect overall power factor and reliability.
Innovation Solution
A centralized monitoring system using communication gateways and a server to collect and analyze data from multiple nodes, employing predictive analytics to estimate local and global insights on power quality, enabling comprehensive monitoring and control of energy storage elements and APFCs/IEDs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If individual node monitoring is used, then device complexity is reduced, but measurement precision and reliability of overall grid monitoring deteriorate
Solution Approach 1:
The patent merges data from multiple individual node monitoring systems into a centralized monitoring platform that aggregates and analyzes grid-wide power quality data. This combines the simplicity of individual node monitoring with the comprehensive measurement precision of centralized analysis, resolving the contradiction between device complexity and measurement precision.
2Reliability
If centralized monitoring of multiple nodes is implemented, then measurement precision and reliability improve, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the monitoring system into hierarchical levels: individual node monitoring units that collect local data, regional aggregation points that process intermediate data, and a central platform that provides global oversight. This segmentation maintains reliability through comprehensive monitoring while managing device complexity through modular architecture and distributed processing.
3Loss of information
If comprehensive grid-wide monitoring is implemented, then loss of information about dynamic changes is reduced, but loss of time for data processing and analysis increases
Solution Approach 1:
The patent implements preliminary action by continuously collecting and pre-processing data at individual nodes and regional aggregation points before central analysis is needed. This includes real-time data validation, filtering, and preliminary anomaly detection at distributed levels, so that when central analysis is required, the data is already prepared and refined, reducing both information loss and processing time.
4Reliability
If predictive analytics are used to estimate local and global insights, then reliability and power factor management improve, but device complexity and computational requirements increase
Solution Approach 1:
The patent applies local quality by implementing predictive analytics at multiple hierarchical levels with different complexity: simple predictive models at individual nodes for local power factor optimization, intermediate predictive analysis at regional aggregation points, and comprehensive global predictive analytics at the central platform. This distributes computational complexity while maintaining reliability through multi-level predictive capabilities.
Data Source
AI summary
Example approaches for power quality monitoring in a power distribution grid are described. In an example, monitoring data is received by a communication gateway from a node coupled to it. In an example, there may be multiple nodes in the power distribution grid. Local insights for power quality monitoring may be estimated, based on the monitoring data, using predictive analytics at the communication gateway. The monitoring data and the local insights associated with each of the plurality of nodes is transmitted to the server. Global insights for power quality monitoring may be estimating, using predictive analytics performed at the server, based on the monitoring data and the local insights. An indication to an operator is generated, based on the estimated local insights, global insights and the monitored data, to carry out preventive or corrective action for maintaining the power quality in the power distribution grid.