Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.22/18442 |
Resumo: | Power and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains and, consequently, in obtaining more realistic and reliable results. One of the key challenges in this area is the development of decision support tools to address the problem as a whole. Tools Control Center - TOOCC - proposed and developed by the authors, enables the co-simulation of heterogeneous systems to study the electricity markets, the operation of the smart grids, and the energy management of the final consumer, among others. To this end, it uses an application ontology that supports the definition of scenarios and results comparison, while easing the interoperability among the several systems. This paper presents the application ontology developed. The paper addresses the methodology used for its development, its purpose and requirements, and its concepts, relations, facets and instances. The ontology application is illustrated through a case study, where different requirements are tested and demonstrated. It is concluded that the proposed application ontology accomplishes its goals, as it is suitable to represent the required knowledge to support the interoperability among the different considered systems. |
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Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy SystemsApplication ontologyCo-simulationMulti-agent systemPower and energy systemsSemantic interoperabilityWeb-servicesPower and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains and, consequently, in obtaining more realistic and reliable results. One of the key challenges in this area is the development of decision support tools to address the problem as a whole. Tools Control Center - TOOCC - proposed and developed by the authors, enables the co-simulation of heterogeneous systems to study the electricity markets, the operation of the smart grids, and the energy management of the final consumer, among others. To this end, it uses an application ontology that supports the definition of scenarios and results comparison, while easing the interoperability among the several systems. This paper presents the application ontology developed. The paper addresses the methodology used for its development, its purpose and requirements, and its concepts, relations, facets and instances. The ontology application is illustrated through a case study, where different requirements are tested and demonstrated. It is concluded that the proposed application ontology accomplishes its goals, as it is suitable to represent the required knowledge to support the interoperability among the different considered systems.This work was supported by the MAS-Society Project co-funded by Portugal 2020 Fundo Europeu de Desenvolvimento Regional (FEDER) through PO CI, and under Grant UIDB/00760/2020. Gabriel Santos was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) PhD studentship with reference SFRH/BD/118487/2016.IEEERepositório Científico do Instituto Politécnico do PortoTeixeira, BrígidaSantos, GabrielPinto, TiagoVale, ZitaCorchado, Juan M.2021-09-20T14:46:15Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/18442eng10.1109/ACCESS.2020.2991010info: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:RCAAP2023-03-13T13:09:45Zoai:recipp.ipp.pt:10400.22/18442Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:37:53.556015Repositório 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 |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
title |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
spellingShingle |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems Teixeira, Brígida Application ontology Co-simulation Multi-agent system Power and energy systems Semantic interoperability Web-services |
title_short |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
title_full |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
title_fullStr |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
title_full_unstemmed |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
title_sort |
Application Ontology for Multi-Agent and Web-Services’ Co-Simulation in Power and Energy Systems |
author |
Teixeira, Brígida |
author_facet |
Teixeira, Brígida Santos, Gabriel Pinto, Tiago Vale, Zita Corchado, Juan M. |
author_role |
author |
author2 |
Santos, Gabriel Pinto, Tiago Vale, Zita Corchado, Juan M. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório Científico do Instituto Politécnico do Porto |
dc.contributor.author.fl_str_mv |
Teixeira, Brígida Santos, Gabriel Pinto, Tiago Vale, Zita Corchado, Juan M. |
dc.subject.por.fl_str_mv |
Application ontology Co-simulation Multi-agent system Power and energy systems Semantic interoperability Web-services |
topic |
Application ontology Co-simulation Multi-agent system Power and energy systems Semantic interoperability Web-services |
description |
Power and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains and, consequently, in obtaining more realistic and reliable results. One of the key challenges in this area is the development of decision support tools to address the problem as a whole. Tools Control Center - TOOCC - proposed and developed by the authors, enables the co-simulation of heterogeneous systems to study the electricity markets, the operation of the smart grids, and the energy management of the final consumer, among others. To this end, it uses an application ontology that supports the definition of scenarios and results comparison, while easing the interoperability among the several systems. This paper presents the application ontology developed. The paper addresses the methodology used for its development, its purpose and requirements, and its concepts, relations, facets and instances. The ontology application is illustrated through a case study, where different requirements are tested and demonstrated. It is concluded that the proposed application ontology accomplishes its goals, as it is suitable to represent the required knowledge to support the interoperability among the different considered systems. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 2020-01-01T00:00:00Z 2021-09-20T14:46:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.22/18442 |
url |
http://hdl.handle.net/10400.22/18442 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1109/ACCESS.2020.2991010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131468289540096 |