Renew. Energy Environ. Sustain.
Volume 2, 2017
Sustainable energy systems for the future
|Number of page(s)||8|
|Published online||08 September 2017|
A comprehensive techno-economic and power quality analysis of a remote PV-diesel system in Australia
School of Engineering and Information Technology, Murdoch University, Australia
* e-mail: firstname.lastname@example.org
Received in final form: 7 July 2017
Accepted: 27 July 2017
Presently, the world is considering the integration of small, medium and large-scale PV systems into both urban and remote rural electricity networks. This sees a transition towards a 100% renewable energy based electricity supply from the current conventional fossil fuel based electricity supply. Australia has a significant electricity generation potential from solar PV resources which also encourages the uptake of PV-battery hybrid systems. Australian utilities operating in the isolated and remote areas are now seriously considering the integration of solar PV systems as a long-term solution to reduce costs and facilitate sustainable electricity generation. This would also defer expensive grid extension to supply electricity to these dispersed remote communities. This study aims to model and optimise a remote Australian PV-diesel system incorporated with high levels of PV penetration and battery storage and investigate the system power quality issues. The study includes system component optimisation and techno-economic analysis which considers the outcomes regarding the cost of energy (AUD$/kWh), fuel savings potential and environmental impacts. Power quality issues have been explored by analysing the response of fast frequency-responsive (FFR) battery storage. The overall study has found that higher levels of PV penetration integrated with the current diesel operated system provides a comprehensive and efficient electricity supply and FFR Li-ion batteries can mitigate transient power quality issues and maintain system frequency within acceptable limits.
© T. Jamal et al., published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.