Power System Disturbance Direction Detection Using IED Averages
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Solution Overview
Problem
Existing methods for identifying the root cause of power system disturbances are slow and complex, requiring extensive analysis by engineers and relying on traditional algorithms with confidence levels for disturbance direction detection.
Innovation Solution
A system and method using Intelligent Electronic Devices (IEDs) to determine disturbance direction by measuring and analyzing changes in average power, current, and voltage before and after an event, employing sensors, A/D converters, and processors to identify the single-phase direction of disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional disturbance direction detection methods are used, then disturbance location can be determined, but the process is slow and requires extensive manual analysis by engineers
Solution Approach 1:
The system enables automated disturbance direction detection by having the Intelligent Electronic Device automatically capture waveforms, compute average values, determine data trends, and identify disturbance direction without requiring manual engineer analysis. The device serves itself to detect and locate disturbances, eliminating the need for extensive manual interpretation of power quality data.
2Measurement precision
If traditional complex algorithms with confidence levels are used, then disturbance direction can be detected, but the computation and analysis process becomes complicated and time-consuming
Solution Approach 1:
The patent extracts and uses only the essential features for disturbance direction detection: average power, current, and voltage values before and after the disturbance. By taking out only these critical parameters and comparing their trends, the system achieves accurate disturbance location without requiring complex confidence level calculations or elaborate algorithms.
Solution Approach 2:
The detection process is segmented into distinct, simple steps: capturing pre-event and post-event waveforms, computing average values for each phase, identifying data trends through straightforward comparison, and determining disturbance direction. This segmentation breaks down the complex analysis into manageable, automated steps that are easier to process.
3Reliability
If manual analysis by experienced engineers is used, then accurate disturbance location can be achieved, but the process is slow and not efficient
Solution Approach 1:
The patent replaces the mechanical process of manual engineer analysis with an automated electronic system. The Intelligent Electronic Device automatically performs waveform capture, data computation, trend identification, and disturbance direction determination, substituting human manual interpretation with electronic automation while maintaining reliable disturbance location accuracy.
Data Source
AI summary
A system for determining the location of a disturbance event in a power system. The system includes a power feed bus for supplying electrical signal and an Intelligent Electronic Device coupled to the power feed bus. The Intelligent Electronic Device determines the single-phase direction of the disturbance event according to the changes between the average pre-event power, average pre-event current and average pre-event voltage and the average post-event power, average post-event current and average post-event voltage.