Voltage Stability Prediction Using Synchrophasor Extrapolation
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Solution Overview
Problem
Current power system contingency analysis methods, particularly model-based approaches, are slow and resource-intensive, making it difficult to predict voltage stability in real-time, especially during time gaps between analysis executions, which can lead to delayed corrective actions and potential system instability.
Innovation Solution
A method that combines model-based contingency analysis with synchrophasor measurements from phasor measurement units (PMUs) to predict voltage stability post-contingency, providing faster and more frequent predictions (5-150 predictions per second) by leveraging synchrophasor data to extrapolate model-based analysis results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If model-based contingency analysis is used to predict voltage stability, then prediction accuracy is improved, but prediction speed deteriorates (taking several minutes or more)
Solution Approach 1:
The patent introduces synchrophasor measurements as an intermediary between the power system state and the voltage stability prediction. These real-time measurements serve as a bridge, allowing the system to update predictions frequently without performing complete model-based contingency analysis each time, thus improving speed while maintaining accuracy through periodic model-based updates.
Solution Approach 2:
The patent performs model-based contingency analysis in advance to establish baseline voltage stability predictions. These pre-computed results are then updated using real-time synchrophasor measurements, allowing the system to provide frequent predictions without repeatedly executing the computationally intensive model-based analysis.
2Productivity
If model-based contingency analysis is executed frequently to provide real-time predictions, then prediction frequency is improved, but computational resource consumption worsens
Solution Approach 1:
The patent implements a periodic execution strategy where model-based contingency analysis is performed at intervals to update the baseline predictions, while synchrophasor measurements are continuously monitored and used to update predictions in between model-based analyses. This periodic approach maintains high prediction frequency without proportionally increasing computational resource consumption.
3Adaptability or versatility
If model-based contingency analysis is used for multiple operating states and loading levels, then comprehensiveness of analysis is improved, but analysis time worsens (taking several minutes or more)
Solution Approach 1:
The patent creates a universal prediction framework that can handle multiple operating states and loading levels using a single model-based contingency analysis execution. The synchrophasor measurements provide real-time state information that allows the same baseline model results to be applied across different operating conditions, eliminating the need to re-run analyses for each state while maintaining comprehensive coverage.
Data Source
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AI summary
A voltage stability prediction system (12) is configured to predict voltage stability of a power system (10) under a contingency. The voltage stability prediction system (12) in this regard may execute model-based contingency analysis using a model (18) of the power system (10) to predict, as of a first time (T1), voltage stability of the power system (10) post-contingency. The voltage stability prediction system (12) also obtains, from phasor measurement units (PMUs) (28) in the power system (10), synchrophasor measurements (26) that indicate, as of a second time (T2) later than the first time (T1), phasors in the power system (10) pre-contingency. Further, based on the model-based contingency analysis and the synchrophasor measurements (26), the voltage stability prediction system (12) predicts, as of the second time (T2), voltage stability of the power system (10) post-contingency.