Energy storage management strategy in distribution networks utilised by photovoltaic resources

Azizivahed, A; Barani, M; Razavi, SE; Ghavidel, S; Li, L; Zhang, J

Energy storage management strategy in distribution networks utilised by photovoltaic resources

Azizivahed, A Barani, M Razavi, SE Ghavidel, S Li, L

Zhang, J

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Publication Type:: Journal Article
Citation:: IET Generation, Transmission and Distribution, 2018, 12 (21), pp. 5627 - 5638
Issue Date:: 2018-11-27

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Field	Value	Language
dc.contributor.author	Azizivahed, A	en_US
dc.contributor.author	Barani, M	en_US
dc.contributor.author	Razavi, SE	en_US
dc.contributor.author	Ghavidel, S	en_US
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0003-2616-6722	en_US
dc.date.issued	2018-11-27	en_US
dc.identifier.citation	IET Generation, Transmission and Distribution, 2018, 12 (21), pp. 5627 - 5638	en_US
dc.identifier.issn	1751-8687	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129272
dc.description.abstract	© The Institution of Engineering and Technology 2018. Large penetration of electrical energy storage (EES) units and renewable energy resources in distribution systems can help to improve network profiles (e.g. bus voltage and branch current profiles), and to reduce operational cost as well as power losses. On the other hand, unsecure system operation as a result of involving these units is another challenge to network operators. Therefore, establishing a trade-off between operational cost and security is very important. This study presents a new approach to determine the optimal charging/discharging schedule of EES units in distribution systems by employing multi-objective optimisation methods, which will effectively reduce operational cost and enhance distribution network security. In this regard, a voltage stability index (VSI) is converted into a security index to improve the radial network security. This VSI index is treated as a separate objective function, and a multi-objective strategy is implemented to obtain a set of non-dominated solutions instead of a single optimal solution, which simultaneously minimise both of the operational cost and security index. In order to assess the effectiveness and applicability of the proposed method, it is applied to IEEE standard 33-bus and 136-bus distribution test systems, and then the obtained results are compared with those of existing methodologies.	en_US
dc.relation.ispartof	IET Generation, Transmission and Distribution	en_US
dc.relation.isbasedon	10.1049/iet-gtd.2018.5221	en_US
dc.subject.classification	Energy	en_US
dc.title	Energy storage management strategy in distribution networks utilised by photovoltaic resources	en_US
dc.type	Journal Article
utslib.citation.volume	21	en_US
utslib.citation.volume	12	en_US
utslib.for	0906 Electrical and Electronic 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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.issue	21	en_US
pubs.publication-status	Published	en_US
pubs.volume	12	en_US

Abstract:

© The Institution of Engineering and Technology 2018. Large penetration of electrical energy storage (EES) units and renewable energy resources in distribution systems can help to improve network profiles (e.g. bus voltage and branch current profiles), and to reduce operational cost as well as power losses. On the other hand, unsecure system operation as a result of involving these units is another challenge to network operators. Therefore, establishing a trade-off between operational cost and security is very important. This study presents a new approach to determine the optimal charging/discharging schedule of EES units in distribution systems by employing multi-objective optimisation methods, which will effectively reduce operational cost and enhance distribution network security. In this regard, a voltage stability index (VSI) is converted into a security index to improve the radial network security. This VSI index is treated as a separate objective function, and a multi-objective strategy is implemented to obtain a set of non-dominated solutions instead of a single optimal solution, which simultaneously minimise both of the operational cost and security index. In order to assess the effectiveness and applicability of the proposed method, it is applied to IEEE standard 33-bus and 136-bus distribution test systems, and then the obtained results are compared with those of existing methodologies.

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http://hdl.handle.net/10453/129272