Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm

[EN] Integration of renewable energy sources require an increase in the flexibility of power systems. Demand response is a valuable flexible resource that is not currently being fully exploited. Small and medium industrial consumers can deliver a wide range of underused flexibility resources associa...

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Autores: Rodríguez-García, Javier|||0000-0002-9637-9208, Ribó-Pérez, David Gabriel|||0000-0003-1089-5197, Álvarez, Carlos|||0000-0002-8238-1606, Peñalvo-López, Elisa|||0000-0002-3143-822X
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/168715
Acceso en línea:https://riunet.upv.es/handle/10251/168715
Access Level:acceso abierto
Palabra clave:Demand response
Energy resource management
Industrial production
End-user tool
Parallel particle swarm optimization
INGENIERIA ELECTRICA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
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dc.title.none.fl_str_mv Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
title Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
spellingShingle Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
Rodríguez-García, Javier|||0000-0002-9637-9208
Demand response
Energy resource management
Industrial production
End-user tool
Parallel particle swarm optimization
INGENIERIA ELECTRICA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
title_short Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
title_full Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
title_fullStr Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
title_full_unstemmed Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
title_sort Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization Algorithm
dc.creator.none.fl_str_mv Rodríguez-García, Javier|||0000-0002-9637-9208
Ribó-Pérez, David Gabriel|||0000-0003-1089-5197
Álvarez, Carlos|||0000-0002-8238-1606
Peñalvo-López, Elisa|||0000-0002-3143-822X
author Rodríguez-García, Javier|||0000-0002-9637-9208
author_facet Rodríguez-García, Javier|||0000-0002-9637-9208
Ribó-Pérez, David Gabriel|||0000-0003-1089-5197
Álvarez, Carlos|||0000-0002-8238-1606
Peñalvo-López, Elisa|||0000-0002-3143-822X
author_role author
author2 Ribó-Pérez, David Gabriel|||0000-0003-1089-5197
Álvarez, Carlos|||0000-0002-8238-1606
Peñalvo-López, Elisa|||0000-0002-3143-822X
author2_role author
author
author
dc.contributor.none.fl_str_mv Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Departamento de Ingeniería Eléctrica
Instituto Universitario de Investigación de Ingeniería Energética
Escuela Técnica Superior de Ingeniería Industrial
Generalitat Valenciana
Agencia Estatal de Investigación
European Regional Development Fund
Universitat Politècnica de València
Ministerio de Educación, Cultura y Deporte
Ministerio de Economía y Competitividad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Demand response
Energy resource management
Industrial production
End-user tool
Parallel particle swarm optimization
INGENIERIA ELECTRICA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
topic Demand response
Energy resource management
Industrial production
End-user tool
Parallel particle swarm optimization
INGENIERIA ELECTRICA
07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos
description [EN] Integration of renewable energy sources require an increase in the flexibility of power systems. Demand response is a valuable flexible resource that is not currently being fully exploited. Small and medium industrial consumers can deliver a wide range of underused flexibility resources associated with the electricity consumption in their production processes. Flexible resources should compete in liberalized operation markets to ensure the reliability of the system at a minimum cost. This paper presents a new tool to assist industrial demand response to participate in operation markets and optimize its value. The tool uses a combined physical-mathematical modelling of the industrial demand response and a Parallel Particle Swarm Optimization algorithm specifically tuned for the proposed problem to maximize the profit. The main advantages of the proposed tool are demonstrated in the paper through its application to the participation of a meat factory in the Spanish tertiary reserve market during a whole year using a quarter-hourly time resolution. The enhanced performance of the proposed tool with respect to previous methodologies is shown with these four flexible processes examples, where the maximum available profit obtained in the simultaneous consideration of all different flexible processes is computed. The flexible processes are technical and economically characterized in a way that makes the tool valid for most of the processes in the industry.
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/168715
url https://riunet.upv.es/handle/10251/168715
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Generalitat Valenciana https://doi.org/10.13039/501100003359 AICO%2F2019%2F001
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RED2018-102618-T
Universitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-06-18
Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-106901GB-I00 PHYSICS OF NEW CHALLENGES
Ministerio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 ENE2016-78509-C3-1-P DESARROLLO DE LA RESPUESTA AGREGADA DE LA DEMANDA MEDIANTE MODELOS IMBRICADOS Y SU INTERACCION CON TECNOLOGIAS DE MEDIDA Y CONTROL EN LOS SECTORES RESIDENCIALES Y COMERCIALES
Ministerio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 FPU16%2F00962 FPU16%2F00962
Universitat Politècnica de València https://doi.org/10.13039/501100004233 SP20180248
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Maximizing the Profit for Industrial Customers of Providing Operation Services in Electric Power Systems via a Parallel Particle Swarm Optimization AlgorithmRodríguez-García, Javier|||0000-0002-9637-9208Ribó-Pérez, David Gabriel|||0000-0003-1089-5197Álvarez, Carlos|||0000-0002-8238-1606Peñalvo-López, Elisa|||0000-0002-3143-822XDemand responseEnergy resource managementIndustrial productionEnd-user toolParallel particle swarm optimizationINGENIERIA ELECTRICA07.- Asegurar el acceso a energías asequibles, fiables, sostenibles y modernas para todos[EN] Integration of renewable energy sources require an increase in the flexibility of power systems. Demand response is a valuable flexible resource that is not currently being fully exploited. Small and medium industrial consumers can deliver a wide range of underused flexibility resources associated with the electricity consumption in their production processes. Flexible resources should compete in liberalized operation markets to ensure the reliability of the system at a minimum cost. This paper presents a new tool to assist industrial demand response to participate in operation markets and optimize its value. The tool uses a combined physical-mathematical modelling of the industrial demand response and a Parallel Particle Swarm Optimization algorithm specifically tuned for the proposed problem to maximize the profit. The main advantages of the proposed tool are demonstrated in the paper through its application to the participation of a meat factory in the Spanish tertiary reserve market during a whole year using a quarter-hourly time resolution. The enhanced performance of the proposed tool with respect to previous methodologies is shown with these four flexible processes examples, where the maximum available profit obtained in the simultaneous consideration of all different flexible processes is computed. The flexible processes are technical and economically characterized in a way that makes the tool valid for most of the processes in the industry.This work was supported in part by the Primeros Proyectos de Investigacion under Grant PAID-06-18, in part by the Vicerrectorado de Investigacion, Innovacion y Transferencia de la Universitat Politecnica de Valencia (UPV) Valencia-Spain, Generalitat Valenciana through the Research Project under Grant AICO/2019/001, in part by the Spanish Administration under Grant FPU2016/00962, in part by the AEI/10.13039/501100011033 (Ministerio de Ciencia, Innovacion y Universidades, Spanish Government) through the Research Projects under Grant ENE-2016-78509-C3-1-P and Grant RED2018-102618-T, and in part by the EU FEDER Funds.Institute of Electrical and Electronics EngineersEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialDepartamento de Ingeniería EléctricaInstituto Universitario de Investigación de Ingeniería EnergéticaEscuela Técnica Superior de Ingeniería IndustrialGeneralitat ValencianaAgencia Estatal de InvestigaciónEuropean Regional Development FundUniversitat Politècnica de ValènciaMinisterio de Educación, Cultura y DeporteMinisterio de Economía y CompetitividadRepositorio Institucional de la Universitat Politècnica de València Riunet20202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/168715reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengGeneralitat Valenciana https://doi.org/10.13039/501100003359 AICO%2F2019%2F001Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 RED2018-102618-TUniversitat Politècnica de València https://doi.org/10.13039/501100004233 PAID-06-18Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2019-106901GB-I00 PHYSICS OF NEW CHALLENGESMinisterio de Economía y Competitividad http://dx.doi.org/10.13039/501100003329 ENE2016-78509-C3-1-P DESARROLLO DE LA RESPUESTA AGREGADA DE LA DEMANDA MEDIANTE MODELOS IMBRICADOS Y SU INTERACCION CON TECNOLOGIAS DE MEDIDA Y CONTROL EN LOS SECTORES RESIDENCIALES Y COMERCIALESMinisterio de Educación y Cultura http://dx.doi.org/10.13039/501100003176 FPU16%2F00962 FPU16%2F00962Universitat Politècnica de València https://doi.org/10.13039/501100004233 SP20180248open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1687152026-06-13T07:49:27Z
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