Power System Ringdown Detection for Accurate Online Mode Estimation
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Solution Overview
Problem
Existing ringdown analysis methods are difficult to apply in online, real-time settings and often provide misleading or inaccurate results due to inadequate ringdown responses, necessitating improved detection of suitable data for accurate analysis.
Innovation Solution
An intelligent electronic device (IED) monitors power systems, determines scaled energy and error values by comparing electrical measurements to a ringdown model, confirming ringdown events, and generating mode estimates to improve detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing ringdown analysis methods are applied in online, real-time settings, then real-time monitoring capability is achieved, but measurement precision deteriorates due to inadequate ringdown responses
Solution Approach 1:
The system performs preliminary detection of potential ringdown events using energy value comparison before conducting full modal analysis. This preliminary action filters inadequate responses in real-time while maintaining measurement precision by only analyzing confirmed ringdown events with sufficient energy characteristics
Solution Approach 2:
The system uses feedback mechanisms by comparing measured energy values against threshold criteria and adjusting detection sensitivity dynamically. The feedback loop confirms whether detected events are genuine ringdown responses before proceeding with analysis, ensuring both real-time operation and accurate measurement
2Adaptability or versatility
If ringdown analysis is performed on inadequate responses, then analysis coverage is increased, but manufacturing precision deteriorates due to erroneous mode estimates
Solution Approach 1:
The system applies local quality by implementing different analysis criteria for different event types. Genuine ringdown events undergo full modal analysis with high precision requirements, while inadequate responses are filtered out using energy-based criteria. This ensures mode estimate accuracy is maintained for valid events while still providing broad analysis coverage
Solution Approach 2:
The system changes parameters by using energy value thresholds as a gating criterion before performing modal analysis. By adjusting the energy threshold parameter, the system can control the balance between analysis coverage and estimate accuracy, only proceeding with detailed analysis when sufficient energy is present to guarantee reliable results
Data Source
AI summary
A system includes a processor operatively coupled to memory. The processor performs operations that include obtaining electrical measurements of a power system. The processor determines a scaled energy value of a first set of the electrical measurements that are scaled with respect to a second set of electrical measurements. The processor determines that a potential ringdown event occurred by comparing the scaled energy value to a threshold energy value. The processor determines that the potential ringdown event is a confirmed ringdown event by comparing a scaled error value to a threshold error value. The processor generates one or more mode estimates from the confirmed ringdown event.