Electric Power Transmission Line Faults Using Hybrid...

Solving Electric Power Transmission Line Faults Using Hybrid Artificial Neural Network Modules Chukwuedozie N. Ezema1, Patrick I. Obi 1 and Chukwuebuka N. Umezinwa 2 1 Department of Electrical /Electronic Engineering, Chukwuemeka Odumegwu Ojukwu University (COOU), Uli, Anambra State, Nigeria 2 Department of Electronic and Computer Engineering, Imo State Polytechnic Umuagwo, Imo State, Nigeria. ABSTRACT This paper examined solving electric power transmission line faults using hybrid artificial neural network modules. This paper focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial intelligence (hybrid artificial neural-network modules). To simulate the entire power transmission line model and to obtain the training data set, MATLAB R2010a has been used along with the Sim Power Systems toolbox in Simulink. In order to train and analyze the performance of the neural networks, the Artificial Neural Networks Toolbox has been used extensively. Feed forward networks have been employed along with back propagation algorithm for each of the three phases in the fault diagnosis process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simula tion results have been provided to demonstrate that artificial neural network based methods areShow MoreRelatedManaging Information Technology (7th Edition)239873 Words   |  960 Pages07458. All rights reserved. Manufactured in the United States of America. This publication is protected by Copyright, and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. To obtain permission(s) to use material from this work, please submit a written request to Pearson Education, Inc., Permissions Department, One Lake StreetRead MoreMonsanto: Better Living Through Genetic Engineering96204 Words   |  385 Pagesmany issues and facts in each element, but you put down only the important ones. It is also important to avoid the common error of over-emphasis on the ï ¬ rm in question. So, assuming the ï ¬ rm operates Analyse the ï ¬ ve forces (that is, supplier power, buyer power, potential entrants, substitute products and rivalry among competitors) and explain brieï ¬â€šy what is signiï ¬ cant for each. For example, what are the issues involved in new entrants into the industry? For the implantable hearing devices industryRead MoreStephen P. Robbins Timothy A. Judge (2011) Organizational Behaviour 15th Edition New Jersey: Prentice Hall393164 Words   |  1573 PagesPrentice Hall. All rights reserved. Manufactured in the United States of America. This publication is protected by Copyright, and permission should be obtained from the publisher prior to any prohibited reproduction, storage in a retrieval system, or transmission in any form or by any means, electronic, mechanical, photocopying, recording, or likewise. To obtain permission(s) to use material from this work, please submit a written request to Pearson Education, Inc., Permissions Department, One Lake Street