Evaluation of technical and financial benefits of battery-based energy storage systems in distribution networks

Deeba, Shohana Rahman, Sharma, Rahul, Saha, Tapan Kumar, Chakraborty, Debraj and Thomas, Andrew (2016) Evaluation of technical and financial benefits of battery-based energy storage systems in distribution networks. IET Renewable Power Generation, 10 8: 1149-1160. doi:10.1049/iet-rpg.2015.0440


Author Deeba, Shohana Rahman
Sharma, Rahul
Saha, Tapan Kumar
Chakraborty, Debraj
Thomas, Andrew
Title Evaluation of technical and financial benefits of battery-based energy storage systems in distribution networks
Journal name IET Renewable Power Generation   Check publisher's open access policy
ISSN 1752-1424
Publication date 2016-05-03
Year available 2016
Sub-type Article (original research)
DOI 10.1049/iet-rpg.2015.0440
Open Access Status Not Open Access
Volume 10
Issue 8
Start page 1149
End page 1160
Total pages 1
Place of publication Herts, United Kingdom
Publisher The Institution of Engineering and Technology
Collection year 2017
Language eng
Abstract Prompted by technical issues that have arisen due to the widespread deployment of distributed intermittent renewable generators, rapidly rising peak demand and reductions in battery price, the use of battery-based energy storage systems in power networks is on the rise. While battery-based energy storage has the potential to deliver technical benefits, the best possible sizing, location and usage govern the financial viability. The objective of this study is twofold. Firstly, a generalised approach is proposed to model network upgrade deferral as a function of load growth rate, renewable generation penetration and peak shave fraction. This model is then used for the formulation of an optimisation problem which benefits from multi-period power flow analysis to co-optimise battery size, location, charge/discharge profile for a pre-specified number of units to be deployed in a given distribution network. The proposed approach is implemented using the generic algebraic modelling system platform and validated on an Australian medium voltage distribution network under multiple practical and potential future scenarios.
Keyword Battery storage plants
Load flow
Optimisation
Algebra
Distribution networks
Distributed power generation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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Created: Sun, 31 Jul 2016, 23:19:58 EST by Shohana Deeba on behalf of School of Information Technol and Elec Engineering