Power System Stability Monitoring Using Multi-Point Vibration Classification
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Solution Overview
Problem
The integration of renewable energy sources like solar and wind power into power systems leads to abrupt power generation changes, causing system instability and making it difficult to achieve high-speed and high-accuracy stability determination due to increased noise influence and reduced frequency resolution, especially when multiple vibration modes with close frequencies are present.
Innovation Solution
A system stability monitoring apparatus that collects measurement information from multiple points, calculates vibration information, and classifies it using point information to determine system stability, allowing for high-speed and high-accuracy detection even in the presence of close vibration frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If input data length is decreased to achieve high-speed stability determination, then response time is improved, but measurement precision deteriorates due to increased noise influence
Solution Approach 1:
The patent segments the vibration analysis process into two distinct stages: (1) initial stability determination using a short-time Fourier transform with limited data length for rapid response, and (2) refined vibration mode identification using a longer data length for high precision. This segmentation allows the system to achieve both fast response and accurate measurement by applying different analysis methods at different time points.
Solution Approach 2:
The patent dynamically adjusts the data processing strategy based on the timing and stability requirements. In the initial phase, it uses a short data window for quick stability assessment, then transitions to a longer data window for precise vibration mode identification. This dynamic approach allows the system to optimize between speed and precision at different stages of the analysis process.
2Productivity
If input data length is decreased to achieve high-speed stability determination, then processing speed is improved, but frequency resolution deteriorates making it difficult to separate close vibration modes
Solution Approach 1:
The patent divides the frequency analysis into two segments: an initial fast Fourier transform with limited data length for rapid processing, followed by a more comprehensive spectral analysis using extended data length. This segmentation enables the system to quickly identify potential instability and then resolve closely spaced vibration modes with high frequency resolution.
Solution Approach 2:
The patent transitions from a single-dimension approach (using one fixed data length) to a multi-dimensional approach by combining results from analyses with different data lengths. This allows the system to leverage both the speed advantages of short-data processing and the resolution advantages of long-data processing in the same stability assessment.
3Quantity of substance
If renewable energy sources are integrated into the power system, then energy supply capacity is improved, but system stability deteriorates due to abrupt power generation changes
Solution Approach 1:
The patent implements a real-time feedback mechanism that continuously monitors vibration characteristics in the power system and provides immediate stability assessment. When abrupt changes in renewable energy generation occur, the system detects resulting vibrations and provides feedback signals that trigger appropriate control actions to maintain stability.
Solution Approach 2:
The patent performs preliminary stability assessment by analyzing vibration modes before they can lead to system instability. By detecting early signs of instability through vibration analysis, the system can take preventive actions to maintain stability even when renewable energy generation changes abruptly.
Data Source
AI summary
When vibration information calculated using measurement information is classified using a distance between measurement points which is calculated using the point information, even in a case in which a plurality of vibration modes with close vibration frequencies are present at the same time, stability determination at a high speed and a high accuracy is realized. A system stability monitoring apparatus which monitors system stability of a power system includes a measurement information collecting unit that collects measurement information of a plurality of points in the power system, a vibration analyzing unit that calculates vibration information indicating vibration of a system state in the plurality of points using the measurement information, an information storage unit that stores point information including position information of the plurality of points, and a vibration classifying unit that classifies the vibration information based on the point information.