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Study On Detection And Location Method Of DC Cable Fault In Photovoltaic System

Posted on:2020-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:M J CaoFull Text:PDF
GTID:2392330599964946Subject:Power electronics and electric drive
Abstract/Summary:
With the continuous increase of the number of photovoltaic power stations,the safety of power stations has been widely concerned.However,cable faults in photovoltaic power stations have brought serious harm and loss to power generation.Therefore,taking cable faults in photovoltaic power stations as the research object,this paper designs and manufactures a detection device which can detect fault types,locate fault locations and realize sub-health warning of cables.It can stably realize prompt online detection and accurate positioning of various soft/hard faults of DC cables in photovoltaic systems.The main research contents are as follows:(1)Based on the equivalent distributed parameter model of cables,the application of time domain reflectance method in photovoltaic cables is studied.In addition,according to the fault conditions in different working environments,qualitative analysis and classification are carried out combined with the aging mechanism of cables.(2)Equivalent models of several groups of photovoltaic series are built,and the feasibility of extended spectrum technology in the application of cable fault detection and positioning in photovoltaic power station is verified through modularizing the cable fault.(3)On the basis of the complex working conditions of photovoltaic power stations,the anti-interference ability of cable fault detection,the accuracy of fault positioning and the early warning effect of sub-health status of cables under different working conditions are verified in the experimental platform.The experimental results show that the proposed method can stably realize prompt online detection and accurate positioning of various soft/hard faults of DC cables in photovoltaic systems.
Keywords/Search Tags:Photovoltaic system, fault detection, fault positioning, sub-health early warning, anti-interference
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