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Robust Fault Diagnosis And Restoration For Distribution Automation Systems

Posted on:2012-12-27Degree:MasterType:Thesis
Country:ChinaCandidate:Q ZhaoFull Text:PDF
GTID:2132330341450084Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Distribution network is very important in the whole power system. To meet the demand of safety and reliability of power grid, the approach of robust fault diagnosis and the optimal steps of restoration are investigated in this thesis.Take the result that combine the received fault information and other related information as the original information for fault diagnosis. The evidence and information matrix of the fault current flowing through each switch is achieved blended the information that reported to the distribution automation main station through FTU by each switch nodes. The fault diagnosis is regarded as the problem of probability. Based on Bayes approach, the fault probability of each distribution area is evaluated, in result, the robust fault diagnosis is achieved.During the fault diagnosis, take the outer power point as the direction, define the hierarchy for each switch, based on which, the hierarchical model for distribution is established. Consider the uncertainty of fault allocation and take the limit influence that the fault recovery process to the customer as the principle after the fault probability of each distribution area is obtained, the steps of restoration are worked out in accordance with the fault probabilities and the hierarchy of the distribution area. The refused action of switches are considered as well.On the basis of above approaches, the program of robust fault diagnosis and restoration is developed based on MATLAB. Examples are put forwarded to illustrate the proposed approaches. It is shown that the meaningfull fault allocation is achieved even in case of misreporting or failed-report of fault information. The proposed restoration approach is feasible for both radial and looped distribution grids, the software meet the fault diagnosis requirement.
Keywords/Search Tags:Smart grids, Self-Healing, Distribution automation, Fault allocation, Restoration, Distribution network
PDF Full Text Request
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