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Article: Generic Demand Model Considering the Impact of Prosumers for Future Grid Scenario Analysis

TitleGeneric Demand Model Considering the Impact of Prosumers for Future Grid Scenario Analysis
Authors
KeywordsLoad modeling
Analytical models
Batteries
Optimization
Aggregates
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411
Citation
IEEE Transactions on Smart Grid, 2019, v. 10 n. 1, p. 819-829 How to Cite?
AbstractThe increasing uptake of residential PV-battery systems is bound to significantly change demand patterns of future power systems and, consequently, their dynamic performance. In this paper, we propose a generic demand model that captures the aggregated effect of a large population of price-responsive users equipped with small-scale PV-battery systems, called prosumers, for market simulation in future grid scenario analysis. The model is formulated as a bi-level program in which the upper-level unit commitment problem minimizes the total generation cost, and the lower-level problem maximizes prosumers' aggregate self-consumption. Unlike in the existing bi-level optimization frameworks that focus on the interaction between the wholesale market and an aggregator, the coupling is through the prosumers' demand, not through the electricity price. That renders the proposed model market structure agnostic, making it suitable for future grid studies where the market structure is potentially unknown. As a case study, we perform steady-state voltage stability analysis of a simplified model of the Australian National Electricity Market with a significant penetration of renewable generation. The simulation results show that a high prosumer penetration changes the demand profile in ways that significantly improve the system loadability, which confirms the suitability of the proposed model for future grid studies.
Persistent Identifierhttp://hdl.handle.net/10722/279148
ISSN
2023 Impact Factor: 8.6
2023 SCImago Journal Rankings: 4.863
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorRiaz, S-
dc.contributor.authorMarzooghi, H-
dc.contributor.authorVerbic, G-
dc.contributor.authorChapman, AC-
dc.contributor.authorHill, DJ-
dc.date.accessioned2019-10-21T02:20:26Z-
dc.date.available2019-10-21T02:20:26Z-
dc.date.issued2019-
dc.identifier.citationIEEE Transactions on Smart Grid, 2019, v. 10 n. 1, p. 819-829-
dc.identifier.issn1949-3053-
dc.identifier.urihttp://hdl.handle.net/10722/279148-
dc.description.abstractThe increasing uptake of residential PV-battery systems is bound to significantly change demand patterns of future power systems and, consequently, their dynamic performance. In this paper, we propose a generic demand model that captures the aggregated effect of a large population of price-responsive users equipped with small-scale PV-battery systems, called prosumers, for market simulation in future grid scenario analysis. The model is formulated as a bi-level program in which the upper-level unit commitment problem minimizes the total generation cost, and the lower-level problem maximizes prosumers' aggregate self-consumption. Unlike in the existing bi-level optimization frameworks that focus on the interaction between the wholesale market and an aggregator, the coupling is through the prosumers' demand, not through the electricity price. That renders the proposed model market structure agnostic, making it suitable for future grid studies where the market structure is potentially unknown. As a case study, we perform steady-state voltage stability analysis of a simplified model of the Australian National Electricity Market with a significant penetration of renewable generation. The simulation results show that a high prosumer penetration changes the demand profile in ways that significantly improve the system loadability, which confirms the suitability of the proposed model for future grid studies.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165411-
dc.relation.ispartofIEEE Transactions on Smart Grid-
dc.rightsIEEE Transactions on Smart Grid. Copyright © Institute of Electrical and Electronics Engineers.-
dc.rights©20xx 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.subjectLoad modeling-
dc.subjectAnalytical models-
dc.subjectBatteries-
dc.subjectOptimization-
dc.subjectAggregates-
dc.titleGeneric Demand Model Considering the Impact of Prosumers for Future Grid Scenario Analysis-
dc.typeArticle-
dc.identifier.emailHill, DJ: dhill@eee.hku.hk-
dc.identifier.authorityHill, DJ=rp01669-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TSG.2017.2752712-
dc.identifier.scopuseid_2-s2.0-85030640910-
dc.identifier.hkuros307217-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.spage819-
dc.identifier.epage829-
dc.identifier.isiWOS:000455180900075-
dc.publisher.placeUnited States-
dc.identifier.issnl1949-3053-

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