State Trajectory Prediction for Power System Instability
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Solution Overview
Problem
Electric power delivery systems face challenges in predicting future states and managing instability, such as voltage collapse and frequency deviations, due to limitations in monitoring and control technologies.
Innovation Solution
Implementing a state trajectory prediction system that uses intelligent electronic devices (IEDs) to generate models of future power system signals, incorporating synchrophasor measurements and communication protocols like GOOSE, to dynamically predict future states and facilitate control strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional monitoring and control technologies are used, then system simplicity is maintained, but the ability to predict future states and manage instability is insufficient
Solution Approach 1:
The system performs preliminary actions by predicting future system states before instability occurs. The state trajectory prediction module calculates future values of system parameters (voltage, frequency, power flow) and identifies potential instability conditions in advance, enabling preventive control actions rather than reactive responses.
Solution Approach 2:
The patent introduces a state trajectory prediction module as an intermediary between traditional monitoring devices and control systems. This module processes synchrophasor measurements and generates predicted future states, serving as a mediator that enhances decision-making capabilities without replacing existing infrastructure.
2Loss of time
If real-time monitoring is implemented, then system state visibility is improved, but response time to prevent instability is insufficient
Solution Approach 1:
The system performs preliminary calculations to predict future system states, effectively gaining time by knowing what will happen before it happens. The prediction module computes trajectory of system parameters forward in time, allowing operators to take preventive action during the warning period before instability occurs.
Solution Approach 2:
The patent adds a time dimension to system monitoring by predicting future states. Instead of only observing current system conditions, the system projects trajectories into future time, creating a temporal dimension that enables earlier detection of instability trends and extends the decision-making window.
3Measurement precision
If detailed system state monitoring is implemented, then measurement precision is improved, but the ability to assess prediction accuracy is limited
Solution Approach 1:
The system implements feedback by comparing predicted future states with actual measured states. The state trajectory prediction module generates predictions, then subsequent measurements provide feedback to verify accuracy. This feedback loop enables continuous assessment and refinement of prediction models, building confidence in the system's predictive capabilities.
Data Source
AI summary
Disclosed is state trajectory prediction in an electric power delivery system. Electric power delivery system information is calculated from measurements by intelligent electronic devices (IEDs), and communicated to a state trajectory prediction system. The state trajectory prediction system may be configured to generate a load prediction profile. The load prediction profile may provide a predicted response of a load at a future time. Further, the state trajectory prediction system may be configured to generate a generator prediction profile that provides a predicted response of a generator at a future time. The state trajectory prediction system may generate a state trajectory prediction based, at least in part, on the load prediction profile and the generator prediction profile. The state trajectory prediction may represent a future state of the electric power delivery system.