Demand response in electrical energy supply: an optimal real time pricing approach

Detalhes bibliográficos
Autor(a) principal: Faria, Pedro
Data de Publicação: 2011
Outros Autores: Vale, Zita
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/1533
Resumo: In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.
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spelling Demand response in electrical energy supply: an optimal real time pricing approachDemand responseDistribution networkElectricity marketsLoad managementReal time pricingSimulationIn competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.ElsevierRepositório Científico do Instituto Politécnico do PortoFaria, PedroVale, Zita2013-05-09T15:45:09Z20112013-04-12T16:57:11Z2011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/1533eng0360-544210.1016/j.energy.2011.06.049info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T12:40:46Zoai:recipp.ipp.pt:10400.22/1533Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:22:35.646884Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Demand response in electrical energy supply: an optimal real time pricing approach
title Demand response in electrical energy supply: an optimal real time pricing approach
spellingShingle Demand response in electrical energy supply: an optimal real time pricing approach
Faria, Pedro
Demand response
Distribution network
Electricity markets
Load management
Real time pricing
Simulation
title_short Demand response in electrical energy supply: an optimal real time pricing approach
title_full Demand response in electrical energy supply: an optimal real time pricing approach
title_fullStr Demand response in electrical energy supply: an optimal real time pricing approach
title_full_unstemmed Demand response in electrical energy supply: an optimal real time pricing approach
title_sort Demand response in electrical energy supply: an optimal real time pricing approach
author Faria, Pedro
author_facet Faria, Pedro
Vale, Zita
author_role author
author2 Vale, Zita
author2_role author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Faria, Pedro
Vale, Zita
dc.subject.por.fl_str_mv Demand response
Distribution network
Electricity markets
Load management
Real time pricing
Simulation
topic Demand response
Distribution network
Electricity markets
Load management
Real time pricing
Simulation
description In competitive electricity markets with deep concerns for the efficiency level, demand response programs gain considerable significance. As demand response levels have decreased after the introduction of competition in the power industry, new approaches are required to take full advantage of demand response opportunities. This paper presents DemSi, a demand response simulator that allows studying demand response actions and schemes in distribution networks. It undertakes the technical validation of the solution using realistic network simulation based on PSCAD. The use of DemSi by a retailer in a situation of energy shortage, is presented. Load reduction is obtained using a consumer based price elasticity approach supported by real time pricing. Non-linear programming is used to maximize the retailer’s profit, determining the optimal solution for each envisaged load reduction. The solution determines the price variations considering two different approaches, price variations determined for each individual consumer or for each consumer type, allowing to prove that the approach used does not significantly influence the retailer’s profit. The paper presents a case study in a 33 bus distribution network with 5 distinct consumer types. The obtained results and conclusions show the adequacy of the used methodology and its importance for supporting retailers’ decision making.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
2013-05-09T15:45:09Z
2013-04-12T16:57:11Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/1533
url http://hdl.handle.net/10400.22/1533
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0360-5442
10.1016/j.energy.2011.06.049
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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