Minimization of Residential Energy Cost Considering Energy Storage System and EV with Driving Usage Probabilities

Sun, Y; Yue, H; Zhang, J; Booth, C

Minimization of Residential Energy Cost Considering Energy Storage System and EV with Driving Usage Probabilities

Sun, Y Yue, H Zhang, J

Booth, C

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Sustainable Energy, 2019, 10 (4), pp. 1752 - 1763
Issue Date:: 2019-10-01

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Field	Value	Language
dc.contributor.author	Sun, Y	en_US
dc.contributor.author	Yue, H	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722	en_US
dc.contributor.author	Booth, C	en_US
dc.date.available	2020-09-14T19:09:23Z
dc.date.issued	2019-10-01	en_US
dc.identifier.citation	IEEE Transactions on Sustainable Energy, 2019, 10 (4), pp. 1752 - 1763	en_US
dc.identifier.issn	1949-3029	en_US
dc.identifier.uri	http://hdl.handle.net/10453/127829
dc.description.abstract	© 2018 IEEE. Electric vehicle (EV) can be applied to discharge power back to the grid, which is called vehicle-to-grid (V2G) technology. There is a constant debate on whether V2G is an economically viable option due to the high battery degradation cost. In this work, the cost benefit of EV customers participating in V2G has been studied using different feed-in tariffs (FITs). A model is developed for minimization of energy cost for residential users, which includes an EV, a separate energy storage system (ESS), and renewable energy supply. Key factors such as the EV driving usage, the degradation cost of EV and ESS batteries are considered. The EV driving usage is established through a designed survey, from which the probability of vehicle parking and plug in at home, the probabilities of EV under driving and parking outside can be calculated. Comprehensive case studies have been undertaken to investigate the optimization strategies under various scenarios. Two types of electricity tariffs, time-of-use (TOU) and fixed tariffs, are considered. It is revealed that certain threshold levels of FITs are expected to allow users benefit from V2G. Compared with non-optimized operation, the cost saving with the optimized strategy is evident in the case studies.	en_US
dc.relation.ispartof	IEEE Transactions on Sustainable Energy	en_US
dc.relation.isbasedon	10.1109/TSTE.2018.2870561	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Minimization of Residential Energy Cost Considering Energy Storage System and EV with Driving Usage Probabilities	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	10	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	10	en_US

Abstract:

© 2018 IEEE. Electric vehicle (EV) can be applied to discharge power back to the grid, which is called vehicle-to-grid (V2G) technology. There is a constant debate on whether V2G is an economically viable option due to the high battery degradation cost. In this work, the cost benefit of EV customers participating in V2G has been studied using different feed-in tariffs (FITs). A model is developed for minimization of energy cost for residential users, which includes an EV, a separate energy storage system (ESS), and renewable energy supply. Key factors such as the EV driving usage, the degradation cost of EV and ESS batteries are considered. The EV driving usage is established through a designed survey, from which the probability of vehicle parking and plug in at home, the probabilities of EV under driving and parking outside can be calculated. Comprehensive case studies have been undertaken to investigate the optimization strategies under various scenarios. Two types of electricity tariffs, time-of-use (TOU) and fixed tariffs, are considered. It is revealed that certain threshold levels of FITs are expected to allow users benefit from V2G. Compared with non-optimized operation, the cost saving with the optimized strategy is evident in the case studies.

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http://hdl.handle.net/10453/127829