Power System Stability Monitoring via Electrical Distance Categorization
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Solution Overview
Problem
The integration of renewable energy sources like solar and wind power into power systems leads to rapid output variations, making it challenging to accurately determine system stability, especially when multiple power generators are densely located, as existing technologies struggle with noise effects and reduced frequency resolution, making it difficult to detect fluctuation modes with close frequencies simultaneously.
Innovation Solution
A system stability monitoring device that collects measurement information from multiple spots, calculates frequency components, selects measurement spot groups based on electrical distances, and categorizes them to accurately determine stability, thereby reducing noise effects and improving frequency resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If renewable energy sources are integrated into power systems, then power generation capacity increases, but output variation becomes rapid and unpredictable
Solution Approach 1:
The patent implements real-time monitoring of power output from renewable energy sources and uses feedback control mechanisms to detect and respond to rapid output variations. The system continuously measures actual output against expected values and adjusts operational parameters to maintain stability.
Solution Approach 2:
The system dynamically changes operational parameters such as power generation targets, grid connection points, and control settings based on real-time conditions. By adjusting these parameters in response to rapid output variations, the system maintains stable power delivery despite renewable energy source fluctuations.
2Quantity of substance
If multiple power generators are densely located, then power generation capacity increases, but frequency resolution decreases making it difficult to detect fluctuation modes
Solution Approach 1:
The patent divides the dense generator area into multiple monitoring zones or segments, each with dedicated measurement resources. This segmentation allows the system to maintain high frequency resolution for each individual generator or small group, preventing the averaging effect that would occur with aggregated measurements of all generators together.
Solution Approach 2:
The system transitions from one-dimensional frequency analysis to multi-dimensional analysis by incorporating spatial distribution information alongside frequency data. This allows differentiation of fluctuation modes across multiple generators by considering both frequency and spatial position, effectively resolving the frequency resolution issue in dense configurations.
3Loss of information
If measurement data is collected from multiple spots, then measurement coverage increases, but noise effects increase making stability determination difficult
Solution Approach 1:
The patent extracts and separates signal components from noise components using signal processing techniques. By isolating the actual power fluctuation signals from background noise in the multi-spot measurement data, the system maintains comprehensive measurement coverage while eliminating noise interference that would otherwise prevent accurate stability determination.
Data Source
AI summary
A system stability monitoring device monitors the stability of a power system and is equipped with: a storage unit for storing spot information indicating the positional relationship between a plurality of measurement spots in the power system; a receiving unit for receiving time-series measurement information measured by a measuring device provided at each of the measurement spots; and a calculation unit for detecting the frequency components of the power fluctuation from the measurement information, selecting, based on the frequency components, measurement spot group candidates that are measurement spots among the plurality of measurement spots, obtaining the electrical distances between the measurement spot group candidates on the basis of the spot information, and categorizing the measurement spot group candidates into at least one measurement spot group on the basis of the electrical distances.