A type-2 fuzzy controller to enable the efr service from a battery energy storage system

The increased use of distributed energy resources, especially electrical energy storage systems (EESS), has led to greater flexibility and complexity in power grids, which has led to new challenges in the operation of these systems, with particular emphasis on frequency regulation. To this end, the...

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Autores:
Cantillo Luna, Sergio Alejandro
Moreno Chuquen, Ricardo
González Longatt, Francisco
Chamorro, Harold R.
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Universidad Autónoma de Occidente
Repositorio:
RED: Repositorio Educativo Digital UAO
Idioma:
spa
OAI Identifier:
oai:red.uao.edu.co:10614/14696
Acceso en línea:
https://hdl.handle.net/10614/14696
https://red.uao.edu.co/
Palabra clave:
Almacenamiento de energía
Energy storage
Battery energy storage systems
Enhanced frequency response
State-of-charge control
Type-2 fuzzy logic controller
Rights
openAccess
License
Derechos reservados - MDPI, 2022
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dc.title.eng.fl_str_mv A type-2 fuzzy controller to enable the efr service from a battery energy storage system
title A type-2 fuzzy controller to enable the efr service from a battery energy storage system
spellingShingle A type-2 fuzzy controller to enable the efr service from a battery energy storage system
Almacenamiento de energía
Energy storage
Battery energy storage systems
Enhanced frequency response
State-of-charge control
Type-2 fuzzy logic controller
title_short A type-2 fuzzy controller to enable the efr service from a battery energy storage system
title_full A type-2 fuzzy controller to enable the efr service from a battery energy storage system
title_fullStr A type-2 fuzzy controller to enable the efr service from a battery energy storage system
title_full_unstemmed A type-2 fuzzy controller to enable the efr service from a battery energy storage system
title_sort A type-2 fuzzy controller to enable the efr service from a battery energy storage system
dc.creator.fl_str_mv Cantillo Luna, Sergio Alejandro
Moreno Chuquen, Ricardo
González Longatt, Francisco
Chamorro, Harold R.
dc.contributor.author.none.fl_str_mv Cantillo Luna, Sergio Alejandro
Moreno Chuquen, Ricardo
González Longatt, Francisco
Chamorro, Harold R.
dc.subject.armarc.spa.fl_str_mv Almacenamiento de energía
topic Almacenamiento de energía
Energy storage
Battery energy storage systems
Enhanced frequency response
State-of-charge control
Type-2 fuzzy logic controller
dc.subject.armarc.eng.fl_str_mv Energy storage
dc.subject.proposal.eng.fl_str_mv Battery energy storage systems
Enhanced frequency response
State-of-charge control
Type-2 fuzzy logic controller
description The increased use of distributed energy resources, especially electrical energy storage systems (EESS), has led to greater flexibility and complexity in power grids, which has led to new challenges in the operation of these systems, with particular emphasis on frequency regulation. To this end, the transmission system operator in Great Britain has designed a control scheme known as Enhanced Frequency Response (EFR) that is especially attractive for its implementation in EESS. This paper proposes a Type-2 fuzzy control system that enables the provision of EFR service from a battery energy storage system in order to improve the state-of-charge (SoC) management while providing EFR service from operating scenarios during working and off-duty days. The performance of the proposed controller is compared with a conventional FLC and PID controllers with similar features. The results showed that in all scenarios, but especially under large frequency deviations, the proposed controller presents a better SoC management in comparison without neglecting the EFR service provision
publishDate 2022
dc.date.issued.none.fl_str_mv 2022
dc.date.accessioned.none.fl_str_mv 2023-05-04T18:48:06Z
dc.date.available.none.fl_str_mv 2023-05-04T18:48:06Z
dc.type.spa.fl_str_mv Artículo de revista
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dc.identifier.issn.spa.fl_str_mv 19961073
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10614/14696
dc.identifier.instname.spa.fl_str_mv Universidad Autónoma de Occidente
dc.identifier.reponame.spa.fl_str_mv Repositorio Educativo Digital UAO
dc.identifier.repourl.spa.fl_str_mv https://red.uao.edu.co/
identifier_str_mv 19961073
Universidad Autónoma de Occidente
Repositorio Educativo Digital UAO
url https://hdl.handle.net/10614/14696
https://red.uao.edu.co/
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.citationendpage.spa.fl_str_mv 13
dc.relation.citationissue.spa.fl_str_mv 7
dc.relation.citationstartpage.spa.fl_str_mv 1
dc.relation.citationvolume.spa.fl_str_mv 15
dc.relation.cites.none.fl_str_mv Cantillo Luna, S.; Moreno Chuquen, R.; González Longatt. F.; Chamorro, H. R. (2022). A Type-2 Fuzzy Controller to Enable the EFR Service from a Battery Energy Storage System. Energies. 15(7), 1-13. https://doi.org/10.3390/en15072389
dc.relation.ispartofjournal.eng.fl_str_mv Energies
dc.relation.references.none.fl_str_mv An, H.; Yang, J.; Yang, W.; Cheng, Y.; Peng, Y. An Improved Frequency Dead Zone with Feed-Forward Control for Hydropower Units: Performance Evaluation of Primary Frequency Control. Energies 2019, 12, 1497. [
Greenwood, D.; Lim, K.; Patsios, C.; Lyons, P.; Lim, Y.; Taylor, P. Frequency response services designed for energy storage. Appl. Energy 2017, 203, 115–127.
Ulbig, A.; Borsche, T.S.; Andersson, G. Impact of low rotational inertia on power system stability and operation. IFAC Proc. Vol. 2014, 47, 7290–7297.
National Grid ESO. Enhanced Frequency Response. 2022. Available online: https://www.nationalgrid.com/uk/electricity/ balancingservices/frequency-response-services/enhanced-frequency-response-efr?overview (accessed on 13 January 2022).
Stroe, D.I.; Knap, V.; Swierczynski, M.; Stroe, A.I.; Teodorescu, R. Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective. IEEE Trans. Ind. Appl. 2017, 53, 430–438
Sanchez, F.; Cayenne, J.; Gonzalez-Longatt, F.; Rueda, J.L. Controller to enable the enhanced frequency response services from a multi-electrical energy storage system. IET Gener. Transm. Distrib. 2019, 13, 258–265.
Pozo, D.; Contreras, J.; Sauma, E.E. Unit commitment with ideal and generic energy storage units. IEEE Trans. Power Syst. 2014, 29, 2974–2984
Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Cruz-Peragón, F.; Alcalá, G. Economic dispatch of renewable generators and BESS in DC microgrids using second-order cone optimization. Energies 2020, 13, 1703.
Solano Martínez, J.; Mulot, J.; Harel, F.; Hissel, D.; Péra, M.C.; John, R.I.; Amiet, M. Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles. Eng. Appl. Artif. Intell. 2013, 26, 1772–1779. [
Guo, N.; Fang, Y.; Tian, Z.; Cao, S. Research on SOC fuzzy weighted algorithm based on GA-BP neural network and ampere integral method. J. Eng. 2019, 2019, 576–580.
Luo, X.; Wang, J.; Dooner, M.; Clarke, J. Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl. Energy 2015, 137, 511–536.
Cooke, A.; Strickland, D.; Forkasiewicz, K. Energy storage for enhanced frequency response services. In Proceedings of the 2017 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 28–31 August 2017; pp. 1–6.
Cao, X.; Zhao, N. A cooperative management strategy for battery energy storage system providing Enhanced Frequency Response. Energy Rep. 2022, 8, 120–128.
dc.rights.spa.fl_str_mv Derechos reservados - MDPI, 2022
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spelling Cantillo Luna, Sergio Alejandro Moreno Chuquen, Ricardo1ba55dc18211144016950d3899f50db9González Longatt, Franciscoec8bc0be4b0326276b38da3c5b3de173Chamorro, Harold R.4b08e14f56fb217874cde66f1d3713522023-05-04T18:48:06Z2023-05-04T18:48:06Z202219961073https://hdl.handle.net/10614/14696Universidad Autónoma de OccidenteRepositorio Educativo Digital UAOhttps://red.uao.edu.co/The increased use of distributed energy resources, especially electrical energy storage systems (EESS), has led to greater flexibility and complexity in power grids, which has led to new challenges in the operation of these systems, with particular emphasis on frequency regulation. To this end, the transmission system operator in Great Britain has designed a control scheme known as Enhanced Frequency Response (EFR) that is especially attractive for its implementation in EESS. This paper proposes a Type-2 fuzzy control system that enables the provision of EFR service from a battery energy storage system in order to improve the state-of-charge (SoC) management while providing EFR service from operating scenarios during working and off-duty days. The performance of the proposed controller is compared with a conventional FLC and PID controllers with similar features. The results showed that in all scenarios, but especially under large frequency deviations, the proposed controller presents a better SoC management in comparison without neglecting the EFR service provision 13 páginasapplication/pdfspaMDPIDerechos reservados - MDPI, 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2A type-2 fuzzy controller to enable the efr service from a battery energy storage systemArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Almacenamiento de energíaEnergy storageBattery energy storage systemsEnhanced frequency responseState-of-charge controlType-2 fuzzy logic controller137115Cantillo Luna, S.; Moreno Chuquen, R.; González Longatt. F.; Chamorro, H. R. (2022). A Type-2 Fuzzy Controller to Enable the EFR Service from a Battery Energy Storage System. Energies. 15(7), 1-13. https://doi.org/10.3390/en15072389EnergiesAn, H.; Yang, J.; Yang, W.; Cheng, Y.; Peng, Y. An Improved Frequency Dead Zone with Feed-Forward Control for Hydropower Units: Performance Evaluation of Primary Frequency Control. Energies 2019, 12, 1497. [Greenwood, D.; Lim, K.; Patsios, C.; Lyons, P.; Lim, Y.; Taylor, P. Frequency response services designed for energy storage. Appl. Energy 2017, 203, 115–127.Ulbig, A.; Borsche, T.S.; Andersson, G. Impact of low rotational inertia on power system stability and operation. IFAC Proc. Vol. 2014, 47, 7290–7297.National Grid ESO. Enhanced Frequency Response. 2022. Available online: https://www.nationalgrid.com/uk/electricity/ balancingservices/frequency-response-services/enhanced-frequency-response-efr?overview (accessed on 13 January 2022).Stroe, D.I.; Knap, V.; Swierczynski, M.; Stroe, A.I.; Teodorescu, R. Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective. IEEE Trans. Ind. Appl. 2017, 53, 430–438Sanchez, F.; Cayenne, J.; Gonzalez-Longatt, F.; Rueda, J.L. Controller to enable the enhanced frequency response services from a multi-electrical energy storage system. IET Gener. Transm. Distrib. 2019, 13, 258–265.Pozo, D.; Contreras, J.; Sauma, E.E. Unit commitment with ideal and generic energy storage units. IEEE Trans. Power Syst. 2014, 29, 2974–2984Gil-González, W.; Montoya, O.D.; Grisales-Noreña, L.F.; Cruz-Peragón, F.; Alcalá, G. Economic dispatch of renewable generators and BESS in DC microgrids using second-order cone optimization. Energies 2020, 13, 1703.Solano Martínez, J.; Mulot, J.; Harel, F.; Hissel, D.; Péra, M.C.; John, R.I.; Amiet, M. Experimental validation of a type-2 fuzzy logic controller for energy management in hybrid electrical vehicles. Eng. Appl. Artif. Intell. 2013, 26, 1772–1779. [Guo, N.; Fang, Y.; Tian, Z.; Cao, S. Research on SOC fuzzy weighted algorithm based on GA-BP neural network and ampere integral method. J. Eng. 2019, 2019, 576–580.Luo, X.; Wang, J.; Dooner, M.; Clarke, J. Overview of current development in electrical energy storage technologies and the application potential in power system operation. Appl. Energy 2015, 137, 511–536.Cooke, A.; Strickland, D.; Forkasiewicz, K. Energy storage for enhanced frequency response services. In Proceedings of the 2017 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 28–31 August 2017; pp. 1–6.Cao, X.; Zhao, N. A cooperative management strategy for battery energy storage system providing Enhanced Frequency Response. 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