Online battery-protective vehicle to grid behavior management

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dc.contributor.authorLi, Shuangqi
dc.contributor.authorZhao, Pengfei
dc.contributor.authorGu, Chenghong
dc.contributor.authorHuo, Da
dc.contributor.authorZeng, Xianwu
dc.contributor.authorPei, Xiaoze
dc.contributor.authorCheng, Shuang
dc.contributor.authorLi, Jianwei
dc.date.accessioned2022-01-19T13:03:28Z
dc.date.available2022-01-19T13:03:28Z
dc.date.issued2022-01-03
dc.description.abstractWith the popularization of electric vehicles, vehicle-to-grid (V2G) has become an indispensable technology to improve grid economy and reliability. However, battery aging should be mitigated while providing V2G services so as to protect customer benefits and mobilize their positivity. Conventional battery anti-aging V2G scheduling methods mainly offline operates and can hardly be deployed online in hardware equipment. This paper proposes a novel online battery anti-aging V2G scheduling method based on a novel two-stage parameter calibration framework. In the first stage, the V2G scheduling is modeled as an optimization problem, where the objective is to reduce grid peak-valley difference and mitigate battery aging. The online deployment of the developed optimization-based V2G scheduling is realized by a rule-based V2G coordinator in the second stage, and a novel parameter calibration method is developed to adjust controller hyper-parameters. With the parameter calibration process, the global optimality and real-time performance of V2G strategies can be simultaneously realized. The effectiveness of the proposed methodologies is verified on a practical UK distribution network. Simulation results indicate that it can effectively mitigate battery aging in providing V2G services while guaranteeing algorithm real-time performance.en_UK
dc.identifier.citationLi S, Zhao P, Gu C, et al., (2022) Online battery-protective vehicle to grid behavior management. Energy, Volume 243, March 2022, Article number 123083en_UK
dc.identifier.issn0360-5442
dc.identifier.urihttps://doi.org/10.1016/j.energy.2021.123083
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/17439
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBattery degradationen_UK
dc.subjectBattery protective strategyen_UK
dc.subjectElectric vehicleen_UK
dc.subjectEnergy managementen_UK
dc.subjectEnergy storage systemen_UK
dc.subjectTransportation electrificationen_UK
dc.subjectVehicle to griden_UK
dc.titleOnline battery-protective vehicle to grid behavior managementen_UK
dc.typeArticleen_UK

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