Abstract
This paper presents the enhancement of system loadability through optimal reactive power dispatch technique using a newly developed optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP). The concept of MA1EP is developed based on the combination of Multiagent System (MAS), Artificial Immune System (AIS) and Evolutionary Programming (EP). In realizing the effectiveness of the proposed technique, validation is conducted on the IEEE-30-Bus Reliability Test System. The program was developed by using MATLAB software. The main propose of this project is improving loadability system by using (EP) and (MAIEP). From the result, it shows that MAIEP has faster computation time compared to EP technique in maximum loadability improvement in the system.
Metadata
Item Type: | Article |
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Creators: | Creators Email / ID Num. Sulaiman, Mohd Reza UNSPECIFIED |
Subjects: | Q Science > QA Mathematics > Instruments and machines > Electronic Computers. Computer Science > Programming. Rule-based programming. Backtrack programming Q Science > QA Mathematics > Programming languages (Electronic computers) |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Page Range: | pp. 1-6 |
Related URLs: | |
Keywords: | Multiagent Immune Evolutionary Programming (MAIEP), Evolutionary Programming (EP), Artificial Immune System (AIS), load margin, Reactive Power Dispatch (RPD), Maximum Loading Point (MLP) |
Date: | 2010 |
URI: | https://ir.uitm.edu.my/id/eprint/99495 |