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Conference Paper: Distributed Optimization for Multi-Time Slot Economic Dispatch

TitleDistributed Optimization for Multi-Time Slot Economic Dispatch
Authors
KeywordsEnergy storage systems
economic dispatch
line congestion management
distributed optimization
Issue Date2019
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581
Citation
2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 4-8 August 2019, p. 1-5 How to Cite?
AbstractIn this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/287774
ISSN
2020 SCImago Journal Rankings: 0.345

 

DC FieldValueLanguage
dc.contributor.authorYang, L-
dc.contributor.authorLiu, T-
dc.contributor.authorHill, DJ-
dc.date.accessioned2020-10-05T12:03:05Z-
dc.date.available2020-10-05T12:03:05Z-
dc.date.issued2019-
dc.identifier.citation2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 4-8 August 2019, p. 1-5-
dc.identifier.issn1944-9925-
dc.identifier.urihttp://hdl.handle.net/10722/287774-
dc.description.abstractIn this paper, the multi-time slot economic dispatch (MTSED) problem for power transmission networks with a group of synchronous generators and energy storage units is investigated. The objectives of the MTSED problem to be studied are twofold. First, it is to optimally coordinate the active power produced by synchronous generators and active power sent to/drawn from energy storage units to meet a certain net load demand profile over a finite time horizon. Second, it is to enforce physical constraints on the active power of all controllable units, ramping rates of generators, energy stored in storage units, and power flows along transmission lines. A distributed projection-based algorithm which only relies on local information, computation, and peer-to-peer communication between cyber-connected buses is proposed to solve the MTSED problem. Case studies demonstrate the effectiveness of the proposed algorithm.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000581-
dc.relation.ispartofIEEE Power & Energy Society General Meeting (PESGM)-
dc.rightsIEEE Power & Energy Society General Meeting (PESGM). 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.subjectEnergy storage systems-
dc.subjecteconomic dispatch-
dc.subjectline congestion management-
dc.subjectdistributed optimization-
dc.titleDistributed Optimization for Multi-Time Slot Economic Dispatch-
dc.typeConference_Paper-
dc.identifier.emailLiu, T: taoliu@eee.hku.hk-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityLiu, T=rp02045-
dc.identifier.authorityHill, DJ=rp01669-
dc.identifier.doi10.1109/PESGM40551.2019.8973892-
dc.identifier.scopuseid_2-s2.0-85079071495-
dc.identifier.hkuros315132-
dc.identifier.spage1-
dc.identifier.epage5-
dc.publisher.placeUnited States-
dc.identifier.issnl1944-9925-

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