Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market

Autores
Magnago, Fernando; Alemany, Juan Manuel; Lin, J.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Demand response (DR) has recently become an important resource in both system operation and market operation. The focus of this paper is to investigate and quantify the cost impact of various demand response modelings on unit commitment and dispatch in a day-ahead market regime. We have used mixed integer programming unit commitment model, in the market operation framework. Day-ahead market is modeled with a typical test system. Our research results show that DR can exert downward pressure on electricity prices, causing significant implications on social welfare. Results from this work will help policy makers, resource planners, and market designers to make more informed decisions with the goal of better accommodating more demand response resources in the future.
Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Nexant Inc.; Estados Unidos
Fil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina
Fil: Lin, J.. PJM Interconnection; Estados Unidos
Materia
Demand Response Resources
Economic Dispatch
Electricity Market
Nodal Pricing
Power System Computation
Unit Commitment
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/69328
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity marketMagnago, FernandoAlemany, Juan ManuelLin, J.Demand Response ResourcesEconomic DispatchElectricity MarketNodal PricingPower System ComputationUnit Commitmenthttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Demand response (DR) has recently become an important resource in both system operation and market operation. The focus of this paper is to investigate and quantify the cost impact of various demand response modelings on unit commitment and dispatch in a day-ahead market regime. We have used mixed integer programming unit commitment model, in the market operation framework. Day-ahead market is modeled with a typical test system. Our research results show that DR can exert downward pressure on electricity prices, causing significant implications on social welfare. Results from this work will help policy makers, resource planners, and market designers to make more informed decisions with the goal of better accommodating more demand response resources in the future.Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Nexant Inc.; Estados UnidosFil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; ArgentinaFil: Lin, J.. PJM Interconnection; Estados UnidosElsevier2015-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/69328Magnago, Fernando; Alemany, Juan Manuel; Lin, J.; Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market; Elsevier; International Journal of Electrical Power & Energy Systems; 68; 6-2015; 142-1490142-0615CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijepes.2014.12.035info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0142061514007625info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:39:57Zoai:ri.conicet.gov.ar:11336/69328instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:39:57.845CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
title Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
spellingShingle Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
Magnago, Fernando
Demand Response Resources
Economic Dispatch
Electricity Market
Nodal Pricing
Power System Computation
Unit Commitment
title_short Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
title_full Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
title_fullStr Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
title_full_unstemmed Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
title_sort Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market
dc.creator.none.fl_str_mv Magnago, Fernando
Alemany, Juan Manuel
Lin, J.
author Magnago, Fernando
author_facet Magnago, Fernando
Alemany, Juan Manuel
Lin, J.
author_role author
author2 Alemany, Juan Manuel
Lin, J.
author2_role author
author
dc.subject.none.fl_str_mv Demand Response Resources
Economic Dispatch
Electricity Market
Nodal Pricing
Power System Computation
Unit Commitment
topic Demand Response Resources
Economic Dispatch
Electricity Market
Nodal Pricing
Power System Computation
Unit Commitment
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Demand response (DR) has recently become an important resource in both system operation and market operation. The focus of this paper is to investigate and quantify the cost impact of various demand response modelings on unit commitment and dispatch in a day-ahead market regime. We have used mixed integer programming unit commitment model, in the market operation framework. Day-ahead market is modeled with a typical test system. Our research results show that DR can exert downward pressure on electricity prices, causing significant implications on social welfare. Results from this work will help policy makers, resource planners, and market designers to make more informed decisions with the goal of better accommodating more demand response resources in the future.
Fil: Magnago, Fernando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina. Nexant Inc.; Estados Unidos
Fil: Alemany, Juan Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina. Universidad Nacional de Río Cuarto. Facultad de Ingeniería. Departamento de Electricidad y Electrónica; Argentina
Fil: Lin, J.. PJM Interconnection; Estados Unidos
description Demand response (DR) has recently become an important resource in both system operation and market operation. The focus of this paper is to investigate and quantify the cost impact of various demand response modelings on unit commitment and dispatch in a day-ahead market regime. We have used mixed integer programming unit commitment model, in the market operation framework. Day-ahead market is modeled with a typical test system. Our research results show that DR can exert downward pressure on electricity prices, causing significant implications on social welfare. Results from this work will help policy makers, resource planners, and market designers to make more informed decisions with the goal of better accommodating more demand response resources in the future.
publishDate 2015
dc.date.none.fl_str_mv 2015-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/69328
Magnago, Fernando; Alemany, Juan Manuel; Lin, J.; Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market; Elsevier; International Journal of Electrical Power & Energy Systems; 68; 6-2015; 142-149
0142-0615
CONICET Digital
CONICET
url http://hdl.handle.net/11336/69328
identifier_str_mv Magnago, Fernando; Alemany, Juan Manuel; Lin, J.; Impact of demand response resources on unit commitment and dispatch in a day-ahead electricity market; Elsevier; International Journal of Electrical Power & Energy Systems; 68; 6-2015; 142-149
0142-0615
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ijepes.2014.12.035
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0142061514007625
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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