SWER Powerline Defect Localization Using Low-Voltage Broadband Sensing
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Solution Overview
Problem
Fault-finding in single-wire earth-return (SWER) powerline networks is challenging due to their length, leading to costly regular asset inspections and potential fire hazards from undetected defects.
Innovation Solution
A system comprising data collection units positioned at distribution transformers to measure broadband signals, convert them to digital signals, and transmit parameters over a network, with a server determining defect locations using time difference of arrival algorithms and GPS synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If regular asset inspections are conducted on SWER powerlines, then defect detection capability is improved, but inspection cost increases
Solution Approach 1:
The system enables defect detection to occur automatically without human intervention. Sensors continuously monitor the powerline and automatically detect defects, eliminating the need for manual inspections while maintaining high detection capability. This resolves the contradiction by making the system self-monitoring rather than requiring external inspection resources.
Solution Approach 2:
The monitoring system operates continuously rather than through periodic inspections. Sensors are always active, providing uninterrupted defect detection capability. This continuous monitoring eliminates the need for costly regular inspections while maintaining constant detection readiness, resolving the cost-detection capability contradiction.
2Area of stationary object
If the length of SWER powerlines is increased to cover remote regions, then coverage area is improved, but fault-finding difficulty increases
Solution Approach 1:
The long SWER powerline is divided into multiple segments by placing sensors at regular intervals along its length. Each sensor monitors a specific segment, breaking down the fault-finding problem from a system-wide search into localized segment monitoring. This segmentation maintains wide coverage while making fault detection manageable despite the extended length.
Solution Approach 2:
Sensors act as intermediaries between the powerline and the monitoring system. Rather than directly inspecting the entire long powerline, the sensors intermediate the detection process by capturing defect signals at their locations and transmitting data to the central system, thereby simplifying fault-finding across extended distances.
3Measurement precision
If sensors are placed at multiple locations to improve defect localization precision, then location accuracy is improved, but system complexity increases
Solution Approach 1:
Each sensor unit is designed as a universal, multi-functional module that performs signal acquisition, processing, and transmission. By making each sensor unit self-contained and multi-functional, the system achieves high location accuracy through multiple sensors while minimizing the complexity increase, as each unit handles multiple tasks independently.
Solution Approach 2:
The system uses identical sensor units replicated at multiple locations rather than designing complex unique sensors for each position. This copying approach maintains location accuracy through multiple measurement points while reducing system complexity by using standardized, interchangeable components throughout the network.
Data Source
AI summary
A system for locating defects on a single-wire earth-return (SWER) network can include a network, a plurality of data collection units, and a server communicably coupled to the plurality of data collection units via the network. Each data collection unit can be positioned at a distribution transformer of the SWER network and configured to measure broadband signals originating from a defect along the SWER network; convert the broadband signals to a digital signal; extract parameters from the digital signal; and transmit the extracted parameters over the network. The server can be configured to receive the extracted parameters from each of the plurality of data collection units; and determine a location of the defect based on the extracted parameters.