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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Main Authors: Mirzaei, Maryam, Jasni, Jasronita, Hizam, Hashim, Abdul Wahab, Noor Izzri, Moazami, Ehsan
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2017
Online Access:http://psasir.upm.edu.my/id/eprint/51604/
http://psasir.upm.edu.my/id/eprint/51604/1/03%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0574-2015_pg29-42.pdf
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author Mirzaei, Maryam
Jasni, Jasronita
Hizam, Hashim
Abdul Wahab, Noor Izzri
Moazami, Ehsan
author_facet Mirzaei, Maryam
Jasni, Jasronita
Hizam, Hashim
Abdul Wahab, Noor Izzri
Moazami, Ehsan
author_sort Mirzaei, Maryam
building UPM Institutional Repository
collection Online Access
description 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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institution Universiti Putra Malaysia
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language English
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spelling upm-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
spellingShingle 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
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_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_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_sort combined analytical method for optimal location and sizing of distributed generation considering voltage stability and power loss in a power distribution system
url http://psasir.upm.edu.my/id/eprint/51604/
http://psasir.upm.edu.my/id/eprint/51604/
http://psasir.upm.edu.my/id/eprint/51604/1/03%20JST%20Vol%2025%20%281%29%20Jan%20%202017_0574-2015_pg29-42.pdf