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The Research And Application Of The Single Phase Grounding Fault Location Based On Parameter Model Distribution Network

Posted on:2016-01-23Degree:MasterType:Thesis
Country:ChinaCandidate:L N WuFull Text:PDF
GTID:2272330470463834Subject:Detection Technology and Automation
Abstract/Summary:PDF Full Text Request
The neutral non-effective grounding is widely used in the low-voltage distribution network of our country, the network has the ability to continue to operate within a period of time after the grounding fault, so adopting this mode of operation can reduce the times of power outage and the economic losses. Due to the low-impedance short circuit can’t form, the fault current is too small to be detected in this system. If the grounding fault can not be ruled out in time, it will do a greater harm to the network. So it is urgent to find an effective method of fault line selection and fault location.Model building is the premise of obtaining the sample fault data, in this paper, the simulink graphical module is used to build the model. And a throughout study about the most frequent grounding fault has been studied in this paper, such as the metal grounding fault, arc high-impedance grounding fault and the utility poles grounding fault, and the simulation model of each type of grounding fault has been built. During the model building, we proposed a more optimal way for model building to solve the problems of the repeat work in setting the simulation parameters. By combining the advantages of the simulink and the GUI,we have completed the development of the automatic modeling and simulation interface based on the parameters, which makes it more convenient for the users to build model and simulate.This paper proposes a method for fault location based on the BP neural network. Optimized by the mind-evolution algorithm. Using the model to take automatic simulation, by changing the following factors,for example,the position, the phase and the grounding resistance in the simulation experiment, we can obtain a lot of sample data. Then using the method to complete the data-fusion fault location. and taking a comparison with the un-optimized BP neural network algorithm. The result shows that this method has a certain degree of feasibility. in theory.On the basis of method research, this paper proposes a set of complete system design of the fault location device. Then building a testing platform in the lab according to the actual situation, taking the testing experiment on this platform to verify the feasibility of the proposed method.
Keywords/Search Tags:small current grounding system, interface development, mind-evolution algorithm, fault location
PDF Full Text Request
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