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Book Chapter: Optimal scheduling with vehicle-to-grid ancillary services

TitleOptimal scheduling with vehicle-to-grid ancillary services
Authors
Lin, JYu, JJLeung, KCLi, VOK
Issue Date2016
PublisherThe Institution of Engineering and Technology (IET)
Citation
Optimal scheduling with vehicle-to-grid ancillary services. In Chau, KT (Ed.), Energy Systems for Electric and Hybrid Vehicles, p. 394-429. London: The Institution of Engineering and Technology (IET), 2016 How to Cite?
DOI: http://dx.doi.org/10.1049/PBTR002E_ch14
AbstractIn this chapter, we propose a method for the utility grid operator and aggregators to coordinate multiple grid-connected electric vehicles (EVs) so as to provide electricpower ancillary services accounting for quality-of-service (QoS) guarantees for EV charging in a multilevel vehicle-to-grid (V2G) system. This method includes applying consensus-algorithm-based distributed control, designing the control objective functions and constraints for providing ancillary services, and designing the constraints for charging/discharging power schedules and the individual QoS requirements of EVs. The consensus-algorithm-based distributed control consists of operation protocols for control and communication among the utility grid operator, aggregators, and EVs, calculating the control signals in the utility grid operator and aggregators, determining the optimal charging/discharging power schedules of EVs so as to provide a required type of ancillary services as well as satisfy the QoS requirements of EVs.
Persistent Identifierhttp://hdl.handle.net/10722/248906
ISBN
9781785610080

 

DC FieldValueLanguage
dc.contributor.authorLin, J-
dc.contributor.authorYu, JJ-
dc.contributor.authorLeung, KC-
dc.contributor.authorLi, VOK-
dc.date.accessioned2017-10-18T08:50:19Z-
dc.date.available2017-10-18T08:50:19Z-
dc.date.issued2016-
dc.identifier.citationOptimal scheduling with vehicle-to-grid ancillary services. In Chau, KT (Ed.), Energy Systems for Electric and Hybrid Vehicles, p. 394-429. London: The Institution of Engineering and Technology (IET), 2016-
dc.identifier.isbn9781785610080-
dc.identifier.urihttp://hdl.handle.net/10722/248906-
dc.description.abstractIn this chapter, we propose a method for the utility grid operator and aggregators to coordinate multiple grid-connected electric vehicles (EVs) so as to provide electricpower ancillary services accounting for quality-of-service (QoS) guarantees for EV charging in a multilevel vehicle-to-grid (V2G) system. This method includes applying consensus-algorithm-based distributed control, designing the control objective functions and constraints for providing ancillary services, and designing the constraints for charging/discharging power schedules and the individual QoS requirements of EVs. The consensus-algorithm-based distributed control consists of operation protocols for control and communication among the utility grid operator, aggregators, and EVs, calculating the control signals in the utility grid operator and aggregators, determining the optimal charging/discharging power schedules of EVs so as to provide a required type of ancillary services as well as satisfy the QoS requirements of EVs.-
dc.languageeng-
dc.publisherThe Institution of Engineering and Technology (IET)-
dc.relation.ispartofEnergy Systems for Electric and Hybrid Vehicles-
dc.titleOptimal scheduling with vehicle-to-grid ancillary services-
dc.typeBook_Chapter-
dc.identifier.emailYu, JJ: jqyu@eee.hku.hk-
dc.identifier.emailLeung, KC: kcleung@eee.hku.hk-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.authorityLeung, KC=rp00147-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.doi10.1049/PBTR002E_ch14-
dc.identifier.hkuros279663-
dc.identifier.spage394-
dc.identifier.epage429-
dc.publisher.placeLondon-

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