Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/21974
Title: Optimal sizing of battery energy storage system in smart microgrid considering virtual energy storage system and high photovoltaic penetration
Authors: Xie, C
Wang, D
Lai, CS
Wu, R
Wu, X
Lai, LL
Keywords: battery energy storage system;high photovoltaic penetration;optimal sizing;risk control;virtual energy storage system (VESS)
Issue Date: 29-Nov-2020
Publisher: Elsevier
Citation: Xie, C. et al. (2021) 'Optimal sizing of battery energy storage system in smart microgrid considering virtual energy storage system and high photovoltaic penetration', Journal of Cleaner Production, 125308, pp. 1 - 17. doi: 10.1016/j.jclepro.2020.125308.
Abstract: In the smart microgrid system, the optimal sizing of battery energy storage system (BESS) considering virtual energy storage system (VESS) can minimize system cost and keep system stable operation. This paper proposes a two-layer BESS optimal sizing strategy considering dispatch of VESS in a smart microgrid with high photovoltaic (PV) penetration. In the first layer, VESS modelling and aggregation are established, and the initial size of BESS is determined by considering VESS participation in demand response program. In the second layer, the optimal sizing of BESS is studied and the optimal energy resources dispatching strategy is formulated via considering various constraints in the system. The mean-variance Markowitz theory is applied to assess the risk of system cost variability due to the presence of PV and load uncertainties. With the ratio of load varies from 70% to 130%, and PV generation ratio from 40% to 100%, sensitivity analysis reveals the optimal size of BESS is less impacted by PV generation change. Also with VaR(95%) the risk of system cost variability can be further reduced through VESS participation.
URI: https://bura.brunel.ac.uk/handle/2438/21974
DOI: https://doi.org/10.1016/j.jclepro.2020.125308
ISSN: 0959-6526
Other Identifiers: ORCID iD: Chun Sing Lai https://orcid.org/0000-0002-4169-4438
125308
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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