High-Frequency Signal Processing for Millisecond Fault Location
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Solution Overview
Problem
Existing fault detection and location methods in electric power delivery systems are limited by reliance on fundamental frequency components, leading to slow fault clearing times and inaccuracy, especially when dealing with transient events and non-traditional energy sources, which can compromise power system stability and safety.
Innovation Solution
The use of high-frequency signal processing and traveling wave analysis to detect and locate faults in real-time, allowing for faster and more accurate fault detection and location, independent of traditional energy sources, by analyzing traveling waves and their reflections to determine fault location within milliseconds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fundamental frequency components are used for fault detection, then the system can operate with traditional methods, but fault clearing time increases and accuracy decreases
Solution Approach 1:
The patent changes the frequency parameter from fundamental frequency (50/60 Hz) to high-frequency transient components (kHz range). By analyzing high-frequency signal components generated during faults instead of fundamental frequency components, the system achieves both faster detection (milliseconds vs. cycles) and improved accuracy in locating faults, directly resolving the contradiction between speed and precision
Solution Approach 2:
The patent substitutes traditional frequency-domain analysis methods with time-domain high-frequency signal processing. Instead of using conventional protective relaying that waits for fundamental frequency cycles, the system uses traveling wave analysis and high-frequency component detection to identify faults immediately upon occurrence, replacing the slower mechanical-like cycling process with instantaneous electronic detection
2Productivity
If traditional frequency domain techniques are used, then the system can maintain compatibility with existing infrastructure, but operating time increases to one cycle or more
Solution Approach 1:
The system continuously monitors high-frequency signal components in real-time before faults occur. When a fault happens, the high-frequency transient components are already present and detectable immediately, eliminating the need to wait for a full power cycle. This preliminary continuous monitoring of high-frequency components enables instantaneous fault detection and immediate initiation of clearing actions
Solution Approach 2:
The patent skips the traditional one-cycle waiting period by directly analyzing high-frequency transient components that appear instantaneously at fault occurrence. The system rushes through the detection process by focusing on the immediate high-frequency signal signature of the fault rather than waiting for fundamental frequency stabilization, achieving millisecond-level detection compared to cycle-level traditional methods
3Reliability
If fundamental frequency analysis is used, then the system can handle steady-state conditions, but it fails to accurately detect transient events and non-traditional energy source faults
Solution Approach 1:
The patent creates a universal fault detection method that works across diverse energy sources (traditional synchronous generators, wind turbines with power electronics, solar PV systems). By focusing on the universal high-frequency transient components that all faults generate regardless of source type, the system achieves both high reliability for transient event detection and broad adaptability to non-traditional energy sources with different operating characteristics
Solution Approach 2:
The system changes from analyzing fundamental frequency parameters (which vary by energy source type and steady-state conditions) to analyzing high-frequency transient component parameters (which are consistent across all fault types and energy sources). This parameter transformation enables reliable detection of transient events and universal compatibility with diverse energy sources including non-traditional ones
Data Source
AI summary
The present disclosure pertains to systems and methods for obtaining and processing high-frequency electric power system measurements for control and monitoring of an electric power system. High-frequency measurements may be used to detect traveling waves and/or to detect faults in the electric power system. In various embodiments, a processing device may receive high-frequency electric power system measurements from each of a local location and a remote location and may process the high-frequency electric power system measurements to identify and locate a fault. The occurrence of and location of a fault and may be used to implement protective actions to remediate identified faults.