A loss sensitivity factor method for locating ES in a distribution system with PV units
This paper presented an approach to place single and multiple Energy Storage (ES) units in a distribution network with photovoltaic (PV) units considering energy losses. The approach is based on ∆LSFmax, which is defined as a difference between the minimum and maximum Loss Sensitivity Factor (L...
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IEEE Computer Society
2016
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my.utem.eprints.170672023-08-18T12:01:15Z http://eprints.utem.edu.my/id/eprint/17067/ A loss sensitivity factor method for locating ES in a distribution system with PV units Sardi, Junainah Mithulananthan, Nadarajah Hung, Duong Quoc T Technology (General) This paper presented an approach to place single and multiple Energy Storage (ES) units in a distribution network with photovoltaic (PV) units considering energy losses. The approach is based on ∆LSFmax, which is defined as a difference between the minimum and maximum Loss Sensitivity Factor (LSF) values. The GridLAB-D simulation software is used to model test systems under the study and to validate the proposed method. Results show that the proposed ∆LSFmax approach can yield lower energy losses and better voltage profiles than other methods: average LSF, centralized ES (i.e. ES is located at the substation) and ES located near the PV units. Some interesting results are also presented in the paper. IEEE Computer Society 2016 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17067/1/A%20loss%20sensitivity%20factor%20method%20for%20locating%20ES%20in%20a%20distribution%20system%20with%20PV%20units.pdf Sardi, Junainah and Mithulananthan, Nadarajah and Hung, Duong Quoc (2016) A loss sensitivity factor method for locating ES in a distribution system with PV units. In: IEEE PES Asia-Pacific Power And Energy Engineering Conference, APPEEC 2015, 15-18 November 2015, Brisbane Convention And Exhibition CentreBrisbane; Australia. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7380873 10.1109/APPEEC.2015.7380873 |
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T Technology (General) Sardi, Junainah Mithulananthan, Nadarajah Hung, Duong Quoc A loss sensitivity factor method for locating ES in a distribution system with PV units |
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This paper presented an approach to place single and multiple Energy Storage (ES) units in a distribution network with photovoltaic (PV) units considering energy losses. The approach is based on ∆LSFmax, which is defined as a difference between the minimum and maximum Loss Sensitivity Factor (LSF) values. The GridLAB-D simulation software is used to model test systems under the study and to validate the proposed method. Results show that the proposed ∆LSFmax approach can yield lower energy losses and better voltage profiles than other methods: average LSF, centralized ES (i.e. ES is located at the substation) and ES located near the PV units. Some interesting results are also presented in the paper. |
format |
Conference or Workshop Item |
author |
Sardi, Junainah Mithulananthan, Nadarajah Hung, Duong Quoc |
author_facet |
Sardi, Junainah Mithulananthan, Nadarajah Hung, Duong Quoc |
author_sort |
Sardi, Junainah |
title |
A loss sensitivity factor method for locating ES in a distribution system with PV units |
title_short |
A loss sensitivity factor method for locating ES in a distribution system with PV units |
title_full |
A loss sensitivity factor method for locating ES in a distribution system with PV units |
title_fullStr |
A loss sensitivity factor method for locating ES in a distribution system with PV units |
title_full_unstemmed |
A loss sensitivity factor method for locating ES in a distribution system with PV units |
title_sort |
loss sensitivity factor method for locating es in a distribution system with pv units |
publisher |
IEEE Computer Society |
publishDate |
2016 |
url |
http://eprints.utem.edu.my/id/eprint/17067/1/A%20loss%20sensitivity%20factor%20method%20for%20locating%20ES%20in%20a%20distribution%20system%20with%20PV%20units.pdf http://eprints.utem.edu.my/id/eprint/17067/ http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7380873 |
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