تصميم نموذج محاكاة لاكتشاف وتشخيص اعمال الكهرباء باستخدام الشبكات العصبية في الاحمال 11kv و33kv

Abstract

Abstract _ The study aimed to design simulation model to detect and diagnose faults distribuo n electrophoresis in loads of 11kv and 33kv moment they occur and storage types of malfunctions rare to know it in the future, using schemes fault detection to facilitate comparisons used in the diagnosis, and comes by producing programs smart, contribute to the conversion circuit breakers or relays are used to relay smart. ' package Matlab was used to fit it smart systems and programs for the training of artificial neural networks used in the system, and produce charts that support the hypothesis researcher- ' The study concluded that set of results including the adoption of power as the primary source for data entry into the algorithm of the smart system because it is considered appropriate value after the holidays in the diagnostic process. ' Fault Diagnosis contributes to the speed of decision-making in the use of appropriate tools to correct malfunctions. ' become a relay system which uses the smartphone which is based schemes detect and diagnose faults called smart relay. ' Most of the electrical distribution failures are touches failures.Therefor the study recommended that: _ ' implementation of the model for the development of commercially relays used for become relays smart. ’ The use of computers with high specifications on the level of memory and processor smart because the software package works in large tracts of RAM and take time in processing. ~ Using smart models such as genetic algorithm and fuzzy logic in the development of electrical distribution equipment digital relays converters. ' study to become a practical decision modern subject of Electrical Engineering and Computer Science.