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Modelling of embedded PV generation in distribution networks
Citation
Choo, X and Mansour, J and Negnevitsky, M and Halley, A, Modelling of embedded PV generation in distribution networks, 2015 Australasian Universities Power Engineering Conference (AUPEC), 27-30 September, Wollongong, NSW, pp. 1-5. ISBN 978-1-4799-8725-2 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 IEEE
DOI: doi:10.1109/AUPEC.2015.7324818
Abstract
In recent years the amount of embedded PV generation
in distribution networks has increased significantly.
Currently, there is no standard approach on how to model
the effect of this generation on the network. This paper aims
to provide some guidelines on how to model embedded PV
generation in distribution networks. A number of approaches
are considered the first being a distributed approach to modelling
the PV generation with several models located along
the LV feeder. Simplification strategies were then identified,
with different strategies being more appropriate for different
cases. It was identified that for short and medium length
feeders with an even distribution of load and PV generation
that a single model located in the centre of the feeder would
provide acceptable results, while for long feeders a lumped
model at the end of the feeder would be more appropriate.
The effect of heavier weighting of PV and load at different
points on the feeder was also investigated.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | distributed power generation, photovoltaic systems, power distribution, power system modelling, solar power generation |
Research Division: | Engineering |
Research Group: | Electrical engineering |
Research Field: | Electrical energy generation (incl. renewables, excl. photovoltaics) |
Objective Division: | Energy |
Objective Group: | Energy storage, distribution and supply |
Objective Field: | Energy services and utilities |
UTAS Author: | Choo, X (Mr Xiang Choo) |
UTAS Author: | Mansour, J (Mr John Mansour) |
UTAS Author: | Negnevitsky, M (Professor Michael Negnevitsky) |
ID Code: | 105797 |
Year Published: | 2015 |
Deposited By: | Engineering |
Deposited On: | 2016-01-14 |
Last Modified: | 2017-11-06 |
Downloads: | 161 View Download Statistics |
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