Power Event Localization in Electric Grid Monitoring Displays
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Solution Overview
Problem
Conventional methods for identifying and locating power generation events in electric power delivery systems are time-consuming and resource-intensive, leading to increased downtime and costs due to the cumbersome process of analyzing each component to determine the source of the issue.
Innovation Solution
A system that utilizes real-time monitoring and analysis engines to detect power generation events, determine their location, and generate image content to illustrate event propagation, enabling near real-time identification and remediation of issues within the power delivery system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional component-by-component analysis methods are used to identify power generation events, then thorough investigation of system issues is achieved, but analysis time and resource consumption increase significantly
Solution Approach 1:
The patent segments the power delivery system into multiple monitored components with individual sensors, and divides the analysis process into distinct stages: event detection, event classification, and event localization. This segmentation enables parallel processing of multiple signals and reduces the time required for thorough system analysis while maintaining identification accuracy.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring and pre-processing signals from all system components before an event occurs. Sensors continuously collect data and the system maintains ready-state analysis capabilities, so when a power generation event occurs, the localized analysis can immediately begin without delayed component-by-component investigation.
2Speed
If comprehensive system monitoring is implemented to quickly identify events, then response time is reduced, but system complexity and resource requirements increase
Solution Approach 1:
The patent implements local quality by placing sensors and monitoring capabilities at specific strategic locations within the power delivery system where power generation events are most likely to occur or where their impact is most significant. This localized monitoring approach enables fast event detection without requiring comprehensive monitoring of every system component, thereby reducing overall system complexity while maintaining detection speed.
Solution Approach 2:
The system introduces intermediary processing layers including signal pre-processors, event detection algorithms, and classification modules that act as mediators between raw sensor data and final event identification. These intermediaries simplify the complexity by filtering and organizing data before full analysis, enabling fast detection without requiring the entire system to simultaneously process all raw signals.
3Measurement precision
If detailed analysis of each system component is performed to locate the event source, then accurate event localization is achieved, but resource consumption and analysis cost increase
Solution Approach 1:
The patent extracts and isolates the specific signals and components directly related to the detected power generation event from the rest of the system data. Once an event is detected, the system focuses computational resources only on analyzing the relevant local component and its immediate surroundings, rather than performing detailed analysis of every system component. This extraction approach achieves accurate event localization while significantly reducing computational resource consumption.
Data Source
AI summary
Techniques and apparatus presented herein are directed toward monitoring an electric power delivery system to detect and locate a power generation event. A power generation event may include a tripped generator, a loss of a transmission line, or other loss of power generation. To detect the event, an analysis engine may receive and monitor input data. A detection signal may be generated based on the input data. Upon detecting the event, the analysis engine may determine a source and propagation of the event through the delivery system. Based on the source and propagation of the event, the analysis engine may determine the location of the event. The analysis engine may generate an overlay with the input data to provide the location and other information about the event to a user such that remedial action can be taken to resolve the event and restore the lost power generation.