Distribution network configurations for demand matching with photovoltaic systems

Kraatz, Kelly, Dahal, Paricxit, Zahedi, Ahmad, and McPhail, Don (2015) Distribution network configurations for demand matching with photovoltaic systems. In: Proceedings of the Australasian Universities Power Engineering Conference. 16. pp. 1-4. From: AUPEC 2015: Australasian Universities Power Engineering Conference, 27-30 September 2015, Wollongong,NSW, Australia.

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Abstract

Australia's renewable energy landscape is growing significantly as residential photovoltaic system installations are experiencing a boom in popularity due to a number of factors. With this boom of course come concerns for the health of the current networks which are often not suited to handle excessive power generation courtesy of PV systems. Several strategies have been proposed to handle this extra strain on the distribution network but not all have been fully investigated. Thus this study was undertaken in order to investigate one such method, feeder switching, and to understand the potential implications and benefits, for both the customer and utility. The objective of this study is to understand the potential implications and benefits, for both the customer and utility, associated with maximising the matching of photovoltaic generation with network demand by evaluating dynamic network switching at the medium voltage level. The results of this study show that dynamic switching did indeed have the potential to better match photovoltaic generation with network demand and thus minimise voltage rise and reverse power flow in the network. From the utility's perspective this was beneficial for the health of the network and as a result customers could theoretically experience improved power quality.

Item ID: 41516
Item Type: Conference Item (Research - E1)
ISBN: 978-1-4799-8725-2
Keywords: solar photovoltaic; distribution network; demand matching
Funders: ERGON
Research Data: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7324792&rowsPerPage=50&searchWithin=%22First%20Name%22:Ahmad&searchWithin=%22Last%20Name%22:Zahed
Date Deposited: 13 Mar 2016 23:11
FoR Codes: 09 ENGINEERING > 0906 Electrical and Electronic Engineering > 090608 Renewable Power and Energy Systems Engineering (excl Solar Cells) @ 100%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
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