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Conference Paper: Aggregated effect of demand response on performance of future grid scenarios

TitleAggregated effect of demand response on performance of future grid scenarios
Authors
Marzooghi, HVerbic, GHill, DJ
KeywordsDemand model
Demand response
Future grids
Power system stability
Renewable energy sources
Issue Date2015
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589
Citation
The 2015 IEEE PowerTech Conference, Eindhoven, The Netherlands, 29 June-2 July 2015. In Conference Proceedings, 2015, p. 1-6 How to Cite?
DOI: http://dx.doi.org/10.1109/PTC.2015.7232372
AbstractThe existing future grid (FG) feasibility studies have mostly considered simple balancing, but largely neglected network related issues and the effect of demand response (DR) for modelling nett future demand. This paper studies the effect of DR on performance of the Australian National Electricity Market in 2020 with the increased penetration of renewable energy sources (RESs). The demand model integrates the aggregated effect of DR in a simplified representation of the effect of market/dispatch processes aiming at minimising the overall cost of supplying electrical energy. The conventional demand model in the optimisation formulation is augmented by including the aggregated effect of numerous price anticipating users equipped with rooftop photovoltaic (PV)-storage systems. Simulation results show that increasing penetration of DR improves loadability and damping of the system with the increased penetration of RESs.
DescriptionConference Theme: Towards Future Power Systems and Emerging Technologies
Session 32 - Future power system infrastructure: no. 459750
Persistent Identifierhttp://hdl.handle.net/10722/216426

 

DC FieldValueLanguage
dc.contributor.authorMarzooghi, H-
dc.contributor.authorVerbic, G-
dc.contributor.authorHill, DJ-
dc.date.accessioned2015-09-18T05:27:15Z-
dc.date.available2015-09-18T05:27:15Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 IEEE PowerTech Conference, Eindhoven, The Netherlands, 29 June-2 July 2015. In Conference Proceedings, 2015, p. 1-6-
dc.identifier.urihttp://hdl.handle.net/10722/216426-
dc.descriptionConference Theme: Towards Future Power Systems and Emerging Technologies-
dc.descriptionSession 32 - Future power system infrastructure: no. 459750-
dc.description.abstractThe existing future grid (FG) feasibility studies have mostly considered simple balancing, but largely neglected network related issues and the effect of demand response (DR) for modelling nett future demand. This paper studies the effect of DR on performance of the Australian National Electricity Market in 2020 with the increased penetration of renewable energy sources (RESs). The demand model integrates the aggregated effect of DR in a simplified representation of the effect of market/dispatch processes aiming at minimising the overall cost of supplying electrical energy. The conventional demand model in the optimisation formulation is augmented by including the aggregated effect of numerous price anticipating users equipped with rooftop photovoltaic (PV)-storage systems. Simulation results show that increasing penetration of DR improves loadability and damping of the system with the increased penetration of RESs.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000589-
dc.relation.ispartofPowerTech Conference-
dc.rights©2015 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.subjectDemand model-
dc.subjectDemand response-
dc.subjectFuture grids-
dc.subjectPower system stability-
dc.subjectRenewable energy sources-
dc.titleAggregated effect of demand response on performance of future grid scenarios-
dc.typeConference_Paper-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturepostprint-
dc.identifier.doi10.1109/PTC.2015.7232372-
dc.identifier.scopuseid_2-s2.0-84951310866-
dc.identifier.hkuros253808-
dc.identifier.hkuros254571-
dc.identifier.hkuros266455-
dc.identifier.spage1-
dc.identifier.epage6-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151113-

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