Arc Detection Using Current Statistical Dispersion
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Solution Overview
Problem
Existing arc detection technologies in electric power systems struggle to distinguish between arcs and noises generated by power converting devices, leading to potential misidentification and failure to interrupt the power system effectively.
Innovation Solution
A method and apparatus for arc detection that utilize time series data of electric current to calculate statistical values such as standard deviation and dispersion, establishing predefined ranges to differentiate arcs from noises, and employing frequency analysis to confirm arc occurrences, allowing for accurate and quick detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing arc detection technology is used, then arc detection is performed, but arcs cannot be distinguished from noises generated by power converting devices
Solution Approach 1:
The patent transforms the electric current signal from time domain to frequency domain by changing the parameter representation. This allows differentiation between arc signals and power converting device noises based on their distinct frequency characteristics, resolving the inability to distinguish between arcs and noises
Solution Approach 2:
The patent replaces traditional arc detection methods with digital signal processing techniques. By using computational methods to analyze frequency spectra instead of conventional detection approaches, the system can accurately identify arcs while filtering out noise from power converting devices
2Productivity
If traditional arc detection methods are used, then detection is performed, but quick and accurate digital processing cannot be achieved
Solution Approach 1:
The patent replaces conventional detection mechanisms with digital signal processing. This substitution enables both rapid processing through computational efficiency and high accuracy through sophisticated frequency analysis algorithms, simultaneously improving speed and precision
Data Source
AI summary
An embodiment of the present disclosure provides an arc detection method, in which an apparatus detects arcs, comprising the steps of: obtaining time series data for measured values of an electric current flowing in a wire; calculating first statistical values indicating dispersion degrees with time of the measured values or dispersion degrees with time of variances of the measured values from the time series data; and determining that an arc occurs in the wire or that the possibility of arc occurrence in the wire is high in a case when at least one of the first statistical values is out of a predefined range.