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Lookup NU author(s): Dr Jialiang Yi, Dr Padraig LyonsORCiD, Dr Peter Davison, Pengfei Wang, Professor Phil Taylor
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This paper presents a robust scheduling scheme for energy storage systems (ESSs) deployed in distribution networks to facilitate high penetrations of renewable energy sources (RES). This scheme schedules the charging and discharging of an ESS cognizant of state-of-charge (SoC) limits, transmission line real time thermal ratings (RTTR), and voltage constraints. Robust optimization (RO) has been adopted to deal with the uncertainty of RES output, load, and RTTR. Two methods have been introduced to estimate the tradeoff between the cost and the probability of constraint violations. The proposed scheduling scheme is tested on the IEEE 14 and 118 busbar networks with real load, generation, and RTTR profiles through Monte Carlo simulation (MCS). Test results show that the proposed scheme is able to minimize or curtail the probability of constraint violation to a desired level. In contrast, classical optimal power flow (OPF) approaches which do not consider uncertainty, when coupled with RTTR and ESS, result in a low PoS. At the same time, compared to conservative OPF approaches, the proposed scheme reduces the power and energy requirement of ESS.
Author(s): Yi J, Lyons PF, Davison PJ, Wang P, Taylor PC
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Sustainable Energy
Year: 2015
Volume: 7
Issue: 2
Pages: 797-807
Print publication date: 01/04/2016
Online publication date: 26/11/2015
Acceptance date: 30/10/2015
ISSN (print): 1949-3029
ISSN (electronic): 1949-3037
Publisher: IEEE Institute of Electrical and Electronics Engineers
URL: http://dx.doi.org/10.1109/TSTE.2015.2498622
DOI: 10.1109/TSTE.2015.2498622
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