Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

Detalhes bibliográficos
Autor(a) principal: Faria, Pedro
Data de Publicação: 2015
Outros Autores: Vale, Zita, Baptista, José
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.22/7328
Resumo: Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.
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spelling Demand Response Programs Design and Use Considering Intensive Penetration of Distributed GenerationClusteringDemand responseDistributed generationVirtual Power PlayerFurther improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.MDPIRepositório Científico do Instituto Politécnico do PortoFaria, PedroVale, ZitaBaptista, José2016-01-07T17:11:34Z2015-062015-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/7328eng10.3390/en8066230info: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:RCAAP2023-03-13T12:47:49Zoai:recipp.ipp.pt:10400.22/7328Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:27:51.006888Repositório 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 Programs Design and Use Considering Intensive Penetration of Distributed Generation
title Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
spellingShingle Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
Faria, Pedro
Clustering
Demand response
Distributed generation
Virtual Power Player
title_short Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
title_full Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
title_fullStr Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
title_full_unstemmed Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
title_sort Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation
author Faria, Pedro
author_facet Faria, Pedro
Vale, Zita
Baptista, José
author_role author
author2 Vale, Zita
Baptista, José
author2_role author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Faria, Pedro
Vale, Zita
Baptista, José
dc.subject.por.fl_str_mv Clustering
Demand response
Distributed generation
Virtual Power Player
topic Clustering
Demand response
Distributed generation
Virtual Power Player
description Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.
publishDate 2015
dc.date.none.fl_str_mv 2015-06
2015-06-01T00:00:00Z
2016-01-07T17:11:34Z
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.3390/en8066230
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