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The Oilfield Distribution Network Fault Diagnosis And Gis Applications

Posted on:2006-03-27Degree:MasterType:Thesis
Country:ChinaCandidate:Y WangFull Text:PDF
GTID:2192360182486721Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Most of 6kV lines in the oilfield are radiate and small parts of them are lines with double power sources. The characteristic of the power network is multibranch and its loads are basically motors on the oil wells. This article first analyses the automation forms of power network in Shengli Oil Production Company, then provides a distribution automation solution with two levels: main stations and FTU terminals. Taking the advantage of being in the plain, GPRS of China Mobile and CDMA of China Telecom should be used between main stations and terminals. GIS system based on ARC/INFO integrates with SCADA system in main station. The functions of alternating sampling, remote signaling, remote control, fault detection and fault isolation can be realized at the FTU terminals. With the fault information provided by FTU, main station can carry out fault location, type recognition and fault recovery. On the form of power network and patterns of management of the oilfield, this article also suggests that with cooperation of FTU and FTU or FTU to line protection, faults in lines can be cut off and isolated fast, so faults in lines can be restricted to a minimum range.Considering the characteristic of oilfield power network: low current earthing system and most of distribution lines of substations being 6kV, this article provides a method of distinguishing the faults of single phase earthing in low current earthing system suitable for Shengli power network.During the period of test operation, the power distribution automation system in ShengLi Oil Production Company runs stably and questions of inefficient operation, backward management and low automation level are better solved.
Keywords/Search Tags:distribution automation, GIS geographical information, line fault, fault isolation, fault distinguishing
PDF Full Text Request
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