An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid

This work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power when renewable...

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Autores: Arcos Avilés, Diego, Pascual Miqueleiz, Julio María, Guinjoan Gispert, Francesc, Marroyo Palomo, Luis, García Gutiérrez, Gabriel, Gordillo, Rodolfo, Llanos, Jacqueline, Sanchis Gúrpide, Pablo, Motoasca, Emilia
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/46972
Acceso en línea:https://hdl.handle.net/2454/46972
Access Level:acceso abierto
Palabra clave:Distributed power generation
Energy management
Power forecasting
Fuzzy control
Power smoothing
Microgrid
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spelling An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgridArcos Avilés, DiegoPascual Miqueleiz, Julio MaríaGuinjoan Gispert, FrancescMarroyo Palomo, LuisGarcía Gutiérrez, GabrielGordillo, RodolfoLlanos, JacquelineSanchis Gúrpide, PabloMotoasca, EmiliaDistributed power generationEnergy managementPower forecastingFuzzy controlPower smoothingMicrogridThis work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The scenario considers a residential microgrid comprising photovoltaic and wind generators, at-plate collectors, electric and thermal loads and electrical and thermal energy storage systems and assumes that neither renewable generation nor the electrical and thermal load demands are controllable. The EMS is built through two low-complexity FLC blocks of only 25 rules each. The first one is in charge of smoothing the power prfile exchanged with the grid, whereas the second FLC block drives the power of the Electrical Water Heater (EWH). The EMS uses the forecast of the electrical and thermal power balance between generation and consumption to predict the microgrid behavior, for each 15-minute interval, over the next 12 hours. Simulations results, using real one-year measured data show that the proposed EMS design achieves 11.4% reduction of the maximum power absorbed from the grid and an outstanding reduction of the grid power profile ramp-rates when compared with other state-of-the-art studies.This work was supported in part by the projects 2019-PIC-003-CTE and 2020-EXT-007 from the Research Group of Propagation, Electronic Control, and Networking (PROCONET) of Universidad de las Fuerzas Armadas ESPE, in part by the Belgian Development Cooperation (DGD) and the VLIR-UOS under the project EC2020SIN322A101, in part by the Spanish Ministry of Industry and Competitiveness under Grant DPI2017-85404 and Grant PID2019-111443RB-100, and in part by the Spanish State Research Agency (AEI/10.13039/501100011033) under Grant PID2019-110816RB-C21 and Grant PID2019-111262RB-I00.IEEEIngeniería Eléctrica, Electrónica y de ComunicaciónIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren2021info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/46972reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-Pinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111443RB-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110816RB-C21info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00This work is licensed under a Creative Commons Attribution 4.0 License.https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/469722026-06-17T12:41:47Z
dc.title.none.fl_str_mv An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
title An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
spellingShingle An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
Arcos Avilés, Diego
Distributed power generation
Energy management
Power forecasting
Fuzzy control
Power smoothing
Microgrid
title_short An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
title_full An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
title_fullStr An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
title_full_unstemmed An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
title_sort An energy management system design using fuzzy logic control: smoothing the grid power profile of a residential electro-thermal microgrid
dc.creator.none.fl_str_mv Arcos Avilés, Diego
Pascual Miqueleiz, Julio María
Guinjoan Gispert, Francesc
Marroyo Palomo, Luis
García Gutiérrez, Gabriel
Gordillo, Rodolfo
Llanos, Jacqueline
Sanchis Gúrpide, Pablo
Motoasca, Emilia
author Arcos Avilés, Diego
author_facet Arcos Avilés, Diego
Pascual Miqueleiz, Julio María
Guinjoan Gispert, Francesc
Marroyo Palomo, Luis
García Gutiérrez, Gabriel
Gordillo, Rodolfo
Llanos, Jacqueline
Sanchis Gúrpide, Pablo
Motoasca, Emilia
author_role author
author2 Pascual Miqueleiz, Julio María
Guinjoan Gispert, Francesc
Marroyo Palomo, Luis
García Gutiérrez, Gabriel
Gordillo, Rodolfo
Llanos, Jacqueline
Sanchis Gúrpide, Pablo
Motoasca, Emilia
author2_role author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Ingeniería Eléctrica, Electrónica y de Comunicación
Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
dc.subject.none.fl_str_mv Distributed power generation
Energy management
Power forecasting
Fuzzy control
Power smoothing
Microgrid
topic Distributed power generation
Energy management
Power forecasting
Fuzzy control
Power smoothing
Microgrid
description This work deals with the design of a Fuzzy Logic Control (FLC) based Energy Management System (EMS) for smoothing the grid power prole of a grid-connected electro-thermal microgrid. The case study aims to design an Energy Management System (EMS) to reduce the impact on the grid power when renewable energy sources are incorporated to pre-existing grid-connected household appliances. The scenario considers a residential microgrid comprising photovoltaic and wind generators, at-plate collectors, electric and thermal loads and electrical and thermal energy storage systems and assumes that neither renewable generation nor the electrical and thermal load demands are controllable. The EMS is built through two low-complexity FLC blocks of only 25 rules each. The first one is in charge of smoothing the power prfile exchanged with the grid, whereas the second FLC block drives the power of the Electrical Water Heater (EWH). The EMS uses the forecast of the electrical and thermal power balance between generation and consumption to predict the microgrid behavior, for each 15-minute interval, over the next 12 hours. Simulations results, using real one-year measured data show that the proposed EMS design achieves 11.4% reduction of the maximum power absorbed from the grid and an outstanding reduction of the grid power profile ramp-rates when compared with other state-of-the-art studies.
publishDate 2021
dc.date.none.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/46972
url https://hdl.handle.net/2454/46972
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-85404-P
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111443RB-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-110816RB-C21
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111262RB-I00
dc.rights.none.fl_str_mv This work is licensed under a Creative Commons Attribution 4.0 License.
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv This work is licensed under a Creative Commons Attribution 4.0 License.
https://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 IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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