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Conference Paper: Optimal Allocation of Virtual Inertia and Damping for Energy Storage

TitleOptimal Allocation of Virtual Inertia and Damping for Energy Storage
Authors
KeywordsVirtual inertia and damping
Energy storage
Power system dynamics
Power system stability
Transient analysis
Issue Date2019
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1823624/all-proceedings
Citation
Proceedings of 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2), Changsha, China, 8-10 November 2019, p. 547-552 How to Cite?
AbstractThe high share of renewable energy sources and retirement of conventional synchronous generators make that rotational inertia and damping in power system is much less than before. The frequency may experience higher magnititude of oscillations when the contingency happens. Some inverter-interfaced power electronic devices such as energy storage can emulate virtual inertia and damping to respond to the frequency deviation in power system. However, there is still a problem that where and how much virtual inertia and damping is emulated to have the desired transient frequency performance such as desired damping ratio and frequency overshoot for a small disturbance in power system. Authors in this work employ mix-integer differential algorithm to solve this nonlinear optimization problem, and the appropriate energy storage in power system can be selected and the corresponding virtual inertia and damping can be determined.
Persistent Identifierhttp://hdl.handle.net/10722/287775
ISBN

 

DC FieldValueLanguage
dc.contributor.authorYan, S-
dc.contributor.authorZheng, Y-
dc.contributor.authorHill, DJ-
dc.date.accessioned2020-10-05T12:03:06Z-
dc.date.available2020-10-05T12:03:06Z-
dc.date.issued2019-
dc.identifier.citationProceedings of 2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2), Changsha, China, 8-10 November 2019, p. 547-552-
dc.identifier.isbn9781728131382-
dc.identifier.urihttp://hdl.handle.net/10722/287775-
dc.description.abstractThe high share of renewable energy sources and retirement of conventional synchronous generators make that rotational inertia and damping in power system is much less than before. The frequency may experience higher magnititude of oscillations when the contingency happens. Some inverter-interfaced power electronic devices such as energy storage can emulate virtual inertia and damping to respond to the frequency deviation in power system. However, there is still a problem that where and how much virtual inertia and damping is emulated to have the desired transient frequency performance such as desired damping ratio and frequency overshoot for a small disturbance in power system. Authors in this work employ mix-integer differential algorithm to solve this nonlinear optimization problem, and the appropriate energy storage in power system can be selected and the corresponding virtual inertia and damping can be determined.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1823624/all-proceedings-
dc.relation.ispartof2019 IEEE 3rd Conference on Energy Internet and Energy System Integration (EI2)-
dc.rightsIEEE Conference on Energy Internet and Energy System Integration (EI2). Copyright © IEEE.-
dc.rights©2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectVirtual inertia and damping-
dc.subjectEnergy storage-
dc.subjectPower system dynamics-
dc.subjectPower system stability-
dc.subjectTransient analysis-
dc.titleOptimal Allocation of Virtual Inertia and Damping for Energy Storage-
dc.typeConference_Paper-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.identifier.doi10.1109/EI247390.2019.9062217-
dc.identifier.scopuseid_2-s2.0-85084051601-
dc.identifier.hkuros315138-
dc.identifier.spage547-
dc.identifier.epage552-
dc.publisher.placeUnited States-

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