An interactive learning approach of Artificial Immune System (AIS) for power system application
dc.contributor.author | Mohd Razif Mohamad Ali | |
dc.date.accessioned | 2009-02-02T02:45:16Z | |
dc.date.available | 2009-02-02T02:45:16Z | |
dc.date.issued | 2008-05 | |
dc.identifier.uri | http://dspace.unimap.edu.my/123456789/4397 | |
dc.description | Access is limited to UniMAP community. | en_US |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Universiti Malaysia Perlis | en_US |
dc.subject | E-Learning module | en_US |
dc.subject | Artificial immune system -- Study and teaching | en_US |
dc.subject | Power loss | en_US |
dc.subject | Compensating Capacitor | en_US |
dc.subject | Electric power systems | en_US |
dc.subject | Electric power systems -- Electric losses -- Study and teaching | en_US |
dc.subject | Immune systems | en_US |
dc.title | An interactive learning approach of Artificial Immune System (AIS) for power system application | en_US |
dc.type | Learning Object | en_US |
dc.contributor.advisor | Siti Rafidah Abdul Rahim | en_US |
dc.publisher.department | School of Electrical Systems Engineering | en_US |