Optimal sizing of distributed generation by using quantum-inspired evolutionary programming
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Institute of Electrical and Electronics Engineers (IEEE)
2011
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my.unimap-104432011-10-21T02:57:59Z Optimal sizing of distributed generation by using quantum-inspired evolutionary programming Zuhaila, Mat Yasin Titik Khawa, Abdul Rahman, Prof. Dr. Ismail, Musirin, Dr. Siti Rafidah, Abd Rahim yzuhaila@hotmail.com takitik@streamyx.com ismailbm@salam.uitm.edu.my Distributed generation Loss minimization Quantum mechanics Quantum-inspired evolutionary programming Link to publisher's homepage at http://ieeexplore.ieee.org/ The paper proposes a novel evolutionary programming inspired by quantum mechanics, called a quantum-inspired evolutionary programming (QIEP). The proposed algorithm consists of three levels, quantum individuals, quantum groups and quantum universes. The proposed algorithm is implemented to determine the optimal sizing of distributed generation (DG) for loss minimization at the optimal location. The location of the distributed generation was identified using the sensitivity indices. In order to demonstrate its performance, comparative studies are performed with conventional evolutionary programming in terms of loss minimization and computation time. The installation of single DG and multiple DG also presented and the results shows better improvement in terms of loss minimization and voltage profile. The proposed study was conducted on the IEEE 69-bus test system. 2011-01-09T05:06:07Z 2011-01-09T05:06:07Z 2010-06-23 Working Paper p. 468-473 978-1-4244-7128-7 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5559163 http://hdl.handle.net/123456789/10443 en Proceedings of the 4th International Power Engineering and Optimization Conference (PEOCO) 2010 Institute of Electrical and Electronics Engineers (IEEE) |
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Distributed generation Loss minimization Quantum mechanics Quantum-inspired evolutionary programming |
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Distributed generation Loss minimization Quantum mechanics Quantum-inspired evolutionary programming Zuhaila, Mat Yasin Titik Khawa, Abdul Rahman, Prof. Dr. Ismail, Musirin, Dr. Siti Rafidah, Abd Rahim Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
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Link to publisher's homepage at http://ieeexplore.ieee.org/ |
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yzuhaila@hotmail.com |
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yzuhaila@hotmail.com Zuhaila, Mat Yasin Titik Khawa, Abdul Rahman, Prof. Dr. Ismail, Musirin, Dr. Siti Rafidah, Abd Rahim |
format |
Working Paper |
author |
Zuhaila, Mat Yasin Titik Khawa, Abdul Rahman, Prof. Dr. Ismail, Musirin, Dr. Siti Rafidah, Abd Rahim |
author_sort |
Zuhaila, Mat Yasin |
title |
Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
title_short |
Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
title_full |
Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
title_fullStr |
Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
title_full_unstemmed |
Optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
title_sort |
optimal sizing of distributed generation by using quantum-inspired evolutionary programming |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2011 |
url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/10443 |
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1643789904882171904 |
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13.18916 |