Power System Analysis Engine for Polled and Streamed Data
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Solution Overview
Problem
Current methods for monitoring and analyzing electric power systems only provide localized views of disturbances, combining high sample rate event information with wide-area, lower sample rate synchrophasor information is needed to gain a comprehensive understanding of power system events and improve system reliability.
Innovation Solution
A system that collects, aligns, processes, and displays both polled event information and streaming synchrophasor data, allowing for integrated analysis and calculation, enabling engineers to refine settings and validate component models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only localized event information is monitored, then device complexity is reduced, but measurement precision and system understanding are insufficient
Solution Approach 1:
The patent combines localized event information with wide-area synchrophasor data into a unified monitoring system. The analysis engine integrates multiple data sources (event reports, synchrophasors, weather data, geographic information) to provide comprehensive system understanding that neither data type could achieve alone.
Solution Approach 2:
The analysis engine serves as an intermediary that processes and integrates data from multiple sources. It aligns event information with synchrophasor data in time and space, performs correlation analysis, and presents integrated results to users, reducing the complexity of direct multi-source integration.
2Measurement precision
If high sample rate event information is collected, then measurement precision improves, but loss of time increases due to data processing
Solution Approach 1:
The system performs preliminary alignment and correlation of event data with synchrophasor data as they are received. The analysis engine pre-processes data by matching timestamps, geographic locations, and event types, so that when analysis is requested, the data is already organized and ready for rapid retrieval.
Solution Approach 2:
The patent segments the analysis process into distinct modules: data collection, time-space alignment, correlation analysis, and result presentation. Each module handles specific tasks independently, allowing parallel processing and reducing overall processing time while maintaining high measurement precision.
3Reliability
If integrated analysis of multiple data sources is implemented, then reliability improves, but device complexity increases
Solution Approach 1:
The analysis engine is designed as a universal platform that can handle multiple data types (event reports, synchrophasors, weather data, geographic information) and perform various analysis functions (correlation, alignment, pattern recognition). This multi-functional design improves reliability through comprehensive monitoring while avoiding the complexity of multiple separate specialized systems.
Data Source
AI summary
Combining and analyzing streamed and polled electric power delivery system information is disclosed herein. A system therefore includes a plurality of IEDs in communication with the electric power distribution system and configured to provide streaming and/or polled data via a communications network. An analysis engine in communication with the communications network receives selected streaming information and requested polled information, analyzes such streamed and polled information, and provides a display of such streaming and polled information to a user.