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The Design And Application Insulator Contamination On-Line Detecting System For Substation

Posted on:2005-02-08Degree:MasterType:Thesis
Country:ChinaCandidate:Y H XueFull Text:PDF
GTID:2132360122971775Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The design and application of insulator contamination on-line detecting system are discussed in this paper.Some basic concepts of insulator contamination are introduced firstly. Existing methods of avoiding contamination flashover and methods of detecting contamination degree of insulators are discussed in details and disadvantages of them are pointed out.The arising mechanism and character of leakage current are analyzed. Based on these analyses, a high precise and wide bandwidth sensor is developed. The insulator contamination on-line detecting system for substation with powerful function and friendly interface is designed in cording to the requirements of local. The relationships between leakage current, environment humidity, environment temperature and level of pollution are studied, then, the problem of fixed value alarming model is analyzed. It proposed a nonlinear alarming model based on fuzzy reasoning method to increase the reliability of prediction. All the software has been realized by Visual Basic and VC programming language. The implemental installation and debugging method are presented by consideration the sub-station environment, and used into practical applications.The results of theoretical analyzing and practical running proved that the contamination on-line detecting system for substation developed in this paper can be applied to the large-scale variation of leakage current, the fuzzy reasoningalarming method can predict the pollution level of insulator more accurately. A new method is given to solve the problem of alarming reliability of contamination on-line detecting system. Furthermore, the base to improve the solutions to the insulator contamination detecting is firmly laid.
Keywords/Search Tags:contaminant flashover, leakage current, on-line detecting
PDF Full Text Request
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