Fault detection in distribution netwroks of power system based PCA algorithm and neural network

hosseini heiran, Amir Mohammad (2017) Fault detection in distribution netwroks of power system based PCA algorithm and neural network. Masters thesis, university of Mohaghegh Ardabili.

Text (تشخیص خطا در سیستم های توزیع قدرت مبتنی بر الگوریتم PCA و شبکه عصبی) Amir Mohammad hosseini heiran.pdf Download (410kB)

Abstract

Nowaday a huge part of the faults occurred in power systems, is related to distrubtion network. on other hand, excessive extension in this networks caused high complexity of the netwrok. Therefore, designing and implementation of high accuracy fault detection system in distribution network can cause the occurred fault is detetcted fastly and the network recovery time reduced this will result in increases in quality factor on the network. This thesis attemts to implement a fault location and detection in distribution network with multi layer neural network (NN). Monitoring of events in distribution networks is diffiucult because of high density of data . hence by using of PCA algorithm the demnsion of input is decreased and condition monitoring system can be applied. In this thesis two parallel neural network have been used. The first neural network uses original data of network without any data mining method and second neural network uses mined input data that can be minotred easily. For designig the internal tolopogy of neural network Elbow method have been used.

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