Effect of Population Size for DG Installation using EMEFA
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 Me...
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2013
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Online Access: | http://umpir.ump.edu.my/id/eprint/6567/1/Effect_of_Population_Size_for_DG_Installation_using_EMEFA.pdf http://umpir.ump.edu.my/id/eprint/6567/ http://dx.doi.org/10.1109/PEOCO.2013.6564646 |
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my.ump.umpir.65672015-04-10T01:53:16Z http://umpir.ump.edu.my/id/eprint/6567/ Effect of Population Size for DG Installation using EMEFA S. R. A., Rahim Ismail, Musirin M. M., Othman M. H., Hussain M. H., Sulaiman A., Azmi TK Electrical engineering. Electronics Nuclear engineering 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. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6567/1/Effect_of_Population_Size_for_DG_Installation_using_EMEFA.pdf 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.. http://dx.doi.org/10.1109/PEOCO.2013.6564646 |
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TK Electrical engineering. Electronics Nuclear engineering S. R. A., Rahim Ismail, Musirin M. M., Othman M. H., Hussain M. H., Sulaiman A., Azmi Effect of Population Size for DG Installation using EMEFA |
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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. |
format |
Conference or Workshop Item |
author |
S. R. A., Rahim Ismail, Musirin M. M., Othman M. H., Hussain M. H., Sulaiman A., Azmi |
author_facet |
S. R. A., Rahim Ismail, Musirin M. M., Othman M. H., Hussain M. H., Sulaiman A., Azmi |
author_sort |
S. R. A., Rahim |
title |
Effect of Population Size for DG Installation using EMEFA |
title_short |
Effect of Population Size for DG Installation using EMEFA |
title_full |
Effect of Population Size for DG Installation using EMEFA |
title_fullStr |
Effect of Population Size for DG Installation using EMEFA |
title_full_unstemmed |
Effect of Population Size for DG Installation using EMEFA |
title_sort |
effect of population size for dg installation using emefa |
publishDate |
2013 |
url |
http://umpir.ump.edu.my/id/eprint/6567/1/Effect_of_Population_Size_for_DG_Installation_using_EMEFA.pdf http://umpir.ump.edu.my/id/eprint/6567/ http://dx.doi.org/10.1109/PEOCO.2013.6564646 |
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13.18916 |