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Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality


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Das, CK, Bass, O, Kothapalli, G, Mahmoud, TS and Habibi, D 2018 , 'Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality' , Renewable and Sustainable Energy Reviews, vol. 91 , pp. 1205-1230 , doi: 10.1016/j.rser.2018.03.068.

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The deployment of energy storage systems (ESSs) is a significant avenue for maximising the energy efficiency of a distribution network, and overall network performance can be enhanced by their optimal placement, sizing, and operation. An optimally sized and placed ESS can facilitate peak energy demand fulfilment, enhance the benefits from the integration of renewables and distributed energy sources, aid power quality management, and reduce distribution network expansion costs. This paper provides an overview of optimal ESS placement, sizing, and operation. It considers a range of grid scenarios, targeted performance objectives, applied strategies, ESS types, and advantages and limitations of the proposed systems and approaches. While batteries are widely used as ESSs in various applications, the detailed comparative analysis of ESS technical characteristics suggests that flywheel energy storage (FES) also warrants consideration in some distribution network scenarios. This research provides recommendations for related requirements or procedures, appropriate ESS selection, smart ESS charging and discharging, ESS sizing, placement and operation, and power quality issues. Furthermore, this study identifies future research opportunities in relation to challenges for optimal ESS placement planning, development and implementation issues, optimisation techniques, social impacts, and energy security.

Item Type: Article
Authors/Creators:Das, CK and Bass, O and Kothapalli, G and Mahmoud, TS and Habibi, D
Keywords: Energy storage systems, Power quality, Energy storage system allocation, Energy storage system sizing, Energy storage system operation, Hybrid meta-heuristic optimisation, Energy security
Journal or Publication Title: Renewable and Sustainable Energy Reviews
Publisher: Elsevier
ISSN: 1364-0321
DOI / ID Number: 10.1016/j.rser.2018.03.068
Copyright Information:

© 2019 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

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