UMP Institutional Repository

Effect of Population Size for DG Installation using EMEFA

S. R. A., Rahim and Ismail, Musirin and M. M., Othman and M. H., Hussain and M. H., Sulaiman and A., Azmi (2013) Effect of Population Size for DG Installation using EMEFA. In: 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO2013), 3-4 June 2013 , Langkawi. pp. 746-751..

[img] PDF
Effect_of_Population_Size_for_DG_Installation_using_EMEFA.pdf - Published Version
Restricted to Repository staff only

Download (356kB) | Request a copy


This paper presents a new Embedded Meta Evolutionary-Firefly Algorithm (EMEFA) for DG installation which considers the effect of population size on loss and cost minimization while improving the performance of the system. The proposed EMEFA technique is to alleviate the setback experienced in the Meta-EP and firefly in terms slow convergence and less accurate. Implementation of the proposed technique in minimizing both the distribution losses and fuel cost separately has indicated promising results, while maintaining the voltage at acceptable levels. Assessment on its performance with respect to other optimization techniques revealed that the proposed technique is superior in terms fast convergence and achieving more accurate solution, validated on a chosen IEEE Reliability Test System.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 09 Sep 2014 01:12
Last Modified: 10 Apr 2015 01:53
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item