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An interactive learning approach of Artificial Immune System (AIS) for power system application

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Bibliographic Details
Main Author: Mohd Razif Mohamad Ali
Other Authors: Siti Rafidah Abdul Rahim
Format: Learning Object
Language:English
Published: Universiti Malaysia Perlis 2009
Subjects:
E-Learning module
Artificial immune system > Study and teaching
Power loss
Compensating Capacitor
Electric power systems
Electric power systems > Electric losses > Study and teaching
Immune systems
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/4397
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spelling my.unimap-43972009-02-02T02:45:17Z An interactive learning approach of Artificial Immune System (AIS) for power system application Mohd Razif Mohamad Ali Siti Rafidah Abdul Rahim E-Learning module Artificial immune system -- Study and teaching Power loss Compensating Capacitor Electric power systems Electric power systems -- Electric losses -- Study and teaching Immune systems Access is limited to UniMAP community. This project studied on design and develops a simple E-Learning module for Artificial Immune System using Visual Basic approach for power system application. Microsoft Visual Basic is designed for graphical user interface (GUI) programming. It is not a general purpose programming language and it is not a procedural language. Since the sequence of events that a user chooses is practically unlimited, the programmer must code each event independently in such a way that it can interact with other events. For power system, this thesis is focus on power loss minimization for compensating capacitor. Artificial Immune System methods were used to optimization the compensating capacitor. Compensating capacitor is one of method that used by engineer to reduce power loss by finding suitable value of capacitor in distribution system. The Newton-Raphson methods were used for the power flow solution and MATLAB software are used to compile the program. Visual Basic software was linking with MATLAB software to show the value of losses and value of suitable compensating capacitor. 2009-02-02T02:45:16Z 2009-02-02T02:45:16Z 2008-05 Learning Object http://hdl.handle.net/123456789/4397 en Universiti Malaysia Perlis School of Electrical Systems Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic E-Learning module
Artificial immune system -- Study and teaching
Power loss
Compensating Capacitor
Electric power systems
Electric power systems -- Electric losses -- Study and teaching
Immune systems
spellingShingle E-Learning module
Artificial immune system -- Study and teaching
Power loss
Compensating Capacitor
Electric power systems
Electric power systems -- Electric losses -- Study and teaching
Immune systems
Mohd Razif Mohamad Ali
An interactive learning approach of Artificial Immune System (AIS) for power system application
description Access is limited to UniMAP community.
author2 Siti Rafidah Abdul Rahim
author_facet Siti Rafidah Abdul Rahim
Mohd Razif Mohamad Ali
format Learning Object
author Mohd Razif Mohamad Ali
author_sort Mohd Razif Mohamad Ali
title An interactive learning approach of Artificial Immune System (AIS) for power system application
title_short An interactive learning approach of Artificial Immune System (AIS) for power system application
title_full An interactive learning approach of Artificial Immune System (AIS) for power system application
title_fullStr An interactive learning approach of Artificial Immune System (AIS) for power system application
title_full_unstemmed An interactive learning approach of Artificial Immune System (AIS) for power system application
title_sort interactive learning approach of artificial immune system (ais) for power system application
publisher Universiti Malaysia Perlis
publishDate 2009
url http://dspace.unimap.edu.my/xmlui/handle/123456789/4397
_version_ 1643788103612104704
score 13.222552

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