A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system
In this paper, a multi-objective analytical method to evaluate the impacts of optimal location and sizing of distributed generation is presented. This method is based on an analysis of the exact loss formula and continuous power flow in a radial distribution system. Based on two methods of analysis,...
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Universiti Putra Malaysia Press
2017
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Online Access: | http://psasir.upm.edu.my/id/eprint/51604/1/03%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0574-2015_pg29-42.pdf http://psasir.upm.edu.my/id/eprint/51604/ http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(1)%20Jan.%202017/03%20JST%20Vol%2025%20(1)%20Jan%20%202017_0574-2015_pg29-42.pdf |
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my.upm.eprints.516042017-03-30T10:34:30Z http://psasir.upm.edu.my/id/eprint/51604/ A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system Mirzaei, Maryam Jasni, Jasronita Hizam, Hashim Abdul Wahab, Noor Izzri Moazami, Ehsan In this paper, a multi-objective analytical method to evaluate the impacts of optimal location and sizing of distributed generation is presented. This method is based on an analysis of the exact loss formula and continuous power flow in a radial distribution system. Based on two methods of analysis, power loss and weakest voltage buses and lines are calculated and then the optimal size of distributed generation is determined. After that, by considering the minimum power losses and the maximisation of voltage stability, the proposed index determines and ranks positions to decide the optimal distributed generation location in the system. This method allows us to find the best places and size to connect a number of distributed generation units by optimising the objective functions. The simulation results were obtained using a 33-bus radial distribution system to determine the location and size of the distributed generation units. The results show the effectiveness of voltage profile improvement, loading factor improvement and power loss reduction. Further, the problems of a single objective function and the placement of the distributed generation unit using analytical methods are solved by the proposed approach. Universiti Putra Malaysia Press 2017 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/51604/1/03%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0574-2015_pg29-42.pdf Mirzaei, Maryam and Jasni, Jasronita and Hizam, Hashim and Abdul Wahab, Noor Izzri and Moazami, Ehsan (2017) A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system. Pertanika Journal of Science & Technology, 25 (1). pp. 29-42. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(1)%20Jan.%202017/03%20JST%20Vol%2025%20(1)%20Jan%20%202017_0574-2015_pg29-42.pdf |
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In this paper, a multi-objective analytical method to evaluate the impacts of optimal location and sizing of distributed generation is presented. This method is based on an analysis of the exact loss formula and continuous power flow in a radial distribution system. Based on two methods of analysis, power loss and weakest voltage buses and lines are calculated and then the optimal size of distributed generation is determined. After that, by considering the minimum power losses and the maximisation of voltage stability, the proposed index determines and ranks positions to decide the optimal distributed generation location in the system. This method allows us to find the best places and size to connect a number of distributed generation units by optimising the objective functions. The simulation results were obtained using a 33-bus radial distribution system to determine the location and size of the distributed generation units. The results show the effectiveness of voltage profile improvement, loading factor improvement and power loss reduction. Further, the problems of a single objective function and the placement of the distributed generation unit using analytical methods are solved by the proposed approach. |
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Mirzaei, Maryam Jasni, Jasronita Hizam, Hashim Abdul Wahab, Noor Izzri Moazami, Ehsan |
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Mirzaei, Maryam Jasni, Jasronita Hizam, Hashim Abdul Wahab, Noor Izzri Moazami, Ehsan A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
author_facet |
Mirzaei, Maryam Jasni, Jasronita Hizam, Hashim Abdul Wahab, Noor Izzri Moazami, Ehsan |
author_sort |
Mirzaei, Maryam |
title |
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
title_short |
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
title_full |
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
title_fullStr |
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
title_full_unstemmed |
A combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
title_sort |
combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system |
publisher |
Universiti Putra Malaysia Press |
publishDate |
2017 |
url |
http://psasir.upm.edu.my/id/eprint/51604/1/03%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0574-2015_pg29-42.pdf http://psasir.upm.edu.my/id/eprint/51604/ http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2025%20(1)%20Jan.%202017/03%20JST%20Vol%2025%20(1)%20Jan%20%202017_0574-2015_pg29-42.pdf |
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1643835004421144576 |
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13.209306 |