A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants
ABSTRACT: This paper proposes a strategy for sizing a battery energy storage system (BESS) that supports primary frequency regulation (PFR) service of solar photo-voltaic plants. The strategy is composed of an optimization model and a performance assessment algorithm. The optimization model includes...
- Autores:
-
Mejía Giraldo, Diego
Velásquez Gómez, Gregorio
Muñoz Galeano, Nicolás
Cano Quintero, Juan Bernardo
Lemos Cano, Santiago
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2019
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/22568
- Acceso en línea:
- http://hdl.handle.net/10495/22568
- Palabra clave:
- Almacenamiento de energía
Energy storage
Baterias solares
Solar batteries
Sistemas de energía fotovoltaica
Photovoltaic power systems
Sistemas de baterías de reserva
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by/4.0/
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| dc.title.spa.fl_str_mv |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| title |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| spellingShingle |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants Almacenamiento de energía Energy storage Baterias solares Solar batteries Sistemas de energía fotovoltaica Photovoltaic power systems Sistemas de baterías de reserva |
| title_short |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| title_full |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| title_fullStr |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| title_full_unstemmed |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| title_sort |
A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plants |
| dc.creator.fl_str_mv |
Mejía Giraldo, Diego Velásquez Gómez, Gregorio Muñoz Galeano, Nicolás Cano Quintero, Juan Bernardo Lemos Cano, Santiago |
| dc.contributor.author.none.fl_str_mv |
Mejía Giraldo, Diego Velásquez Gómez, Gregorio Muñoz Galeano, Nicolás Cano Quintero, Juan Bernardo Lemos Cano, Santiago |
| dc.contributor.researchgroup.spa.fl_str_mv |
Grupo de Manejo Eficiente de la Energía (GIMEL) |
| dc.subject.lemb.none.fl_str_mv |
Almacenamiento de energía Energy storage Baterias solares Solar batteries Sistemas de energía fotovoltaica Photovoltaic power systems |
| topic |
Almacenamiento de energía Energy storage Baterias solares Solar batteries Sistemas de energía fotovoltaica Photovoltaic power systems Sistemas de baterías de reserva |
| dc.subject.proposal.spa.fl_str_mv |
Sistemas de baterías de reserva |
| description |
ABSTRACT: This paper proposes a strategy for sizing a battery energy storage system (BESS) that supports primary frequency regulation (PFR) service of solar photo-voltaic plants. The strategy is composed of an optimization model and a performance assessment algorithm. The optimization model includes not only investment costs, but also a novel penalty function depending on the state of charge (SoC). This function avoids the existence of a potential inappropriate SoC trajectory during BESS operation that could impede the supply of PFR service. The performance assessment algorithm, fed by the optimization model sizing results, allows the emulation of BESS operation and determines either the success or failure of a particular BESS design. The quality of a BESS design is measured through number of days in whith BESS failed to satisfactorily provide PFR and its associated penalization cost. Battery lifetime, battery replacements, and SoC are also key performance indexes that finally permit making better decisions in the election of the best BESS size. The inclusion of multiple BESS operational restrictions under PFR is another important advantage of this strategy since it adds a realistic characterization of BESS to the analysis. The optimization model was coded using GAMS/CPLEX, and the performance assessment algorithm was implemented in MATLAB. Results were obtained using actual frequency data obtained from the Colombian power system; and the resulting BESS sizes show that the number of BESS penalties, caused by failure to provide PFR service, can be reduced to zero at minimum investment cost. |
| publishDate |
2019 |
| dc.date.issued.none.fl_str_mv |
2019 |
| dc.date.accessioned.none.fl_str_mv |
2021-09-22T21:46:35Z |
| dc.date.available.none.fl_str_mv |
2021-09-22T21:46:35Z |
| dc.type.spa.fl_str_mv |
Artículo de investigación |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://purl.org/redcol/resource_type/ART |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://hdl.handle.net/10495/22568 |
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10.3390/en12020317 |
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1996-1073 |
| url |
http://hdl.handle.net/10495/22568 |
| identifier_str_mv |
10.3390/en12020317 1996-1073 |
| dc.language.iso.spa.fl_str_mv |
eng |
| language |
eng |
| dc.relation.ispartofjournalabbrev.spa.fl_str_mv |
Energies |
| dc.relation.citationendpage.spa.fl_str_mv |
16 |
| dc.relation.citationissue.spa.fl_str_mv |
2 |
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1 |
| dc.relation.citationvolume.spa.fl_str_mv |
12 |
| dc.relation.ispartofjournal.spa.fl_str_mv |
Energies |
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https://creativecommons.org/licenses/by/4.0/ |
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http://creativecommons.org/licenses/by/2.5/co/ |
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MDPI |
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Basilea, Suiza |
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Universidad de Antioquia |
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Mejía Giraldo, DiegoVelásquez Gómez, GregorioMuñoz Galeano, NicolásCano Quintero, Juan BernardoLemos Cano, SantiagoGrupo de Manejo Eficiente de la Energía (GIMEL)2021-09-22T21:46:35Z2021-09-22T21:46:35Z2019http://hdl.handle.net/10495/2256810.3390/en120203171996-1073ABSTRACT: This paper proposes a strategy for sizing a battery energy storage system (BESS) that supports primary frequency regulation (PFR) service of solar photo-voltaic plants. The strategy is composed of an optimization model and a performance assessment algorithm. The optimization model includes not only investment costs, but also a novel penalty function depending on the state of charge (SoC). This function avoids the existence of a potential inappropriate SoC trajectory during BESS operation that could impede the supply of PFR service. The performance assessment algorithm, fed by the optimization model sizing results, allows the emulation of BESS operation and determines either the success or failure of a particular BESS design. The quality of a BESS design is measured through number of days in whith BESS failed to satisfactorily provide PFR and its associated penalization cost. Battery lifetime, battery replacements, and SoC are also key performance indexes that finally permit making better decisions in the election of the best BESS size. The inclusion of multiple BESS operational restrictions under PFR is another important advantage of this strategy since it adds a realistic characterization of BESS to the analysis. The optimization model was coded using GAMS/CPLEX, and the performance assessment algorithm was implemented in MATLAB. Results were obtained using actual frequency data obtained from the Colombian power system; and the resulting BESS sizes show that the number of BESS penalties, caused by failure to provide PFR service, can be reduced to zero at minimum investment cost.COL001047716application/pdfengMDPIBasilea, Suizahttps://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/2.5/co/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2A BESS sizing strategy for primary frequency regulation support of solar photovoltaic plantsArtículo de investigaciónhttp://purl.org/coar/resource_type/c_2df8fbb1https://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAlmacenamiento de energíaEnergy storageBaterias solaresSolar batteriesSistemas de energía fotovoltaicaPhotovoltaic power systemsSistemas de baterías de reservaEnergies162112EnergiesPublicationORIGINALMejiaDiego_2019_SolarPhotovoltaicPlants.pdfMejiaDiego_2019_SolarPhotovoltaicPlants.pdfArtículo de investigaciónapplication/pdf525113https://bibliotecadigital.udea.edu.co/bitstreams/dc035244-3d5b-41e8-a17c-a2df71f3fd3c/downloada23610708d2f083c2f8cb29e3dda9488MD51trueAnonymousREADCC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8927https://bibliotecadigital.udea.edu.co/bitstreams/c33a302c-ddae-49c4-bca9-90f21f7e85a8/download1646d1f6b96dbbbc38035efc9239ac9cMD52falseAnonymousREADLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://bibliotecadigital.udea.edu.co/bitstreams/4cd6a08f-a583-4936-be97-908222458e87/download8a4605be74aa9ea9d79846c1fba20a33MD53falseAnonymousREADTEXTMejiaDiego_2019_SolarPhotovoltaicPlants.pdf.txtMejiaDiego_2019_SolarPhotovoltaicPlants.pdf.txtExtracted texttext/plain48864https://bibliotecadigital.udea.edu.co/bitstreams/09bcec30-cfec-455c-98ce-2087b192f6e7/download9c9aa18b3bcb8220be964e1d682117c3MD54falseAnonymousREADTHUMBNAILMejiaDiego_2019_SolarPhotovoltaicPlants.pdf.jpgMejiaDiego_2019_SolarPhotovoltaicPlants.pdf.jpgGenerated Thumbnailimage/jpeg14966https://bibliotecadigital.udea.edu.co/bitstreams/8d2247d8-1780-4fe9-b8f5-2eab2b99c9bb/download1978a4050034b8a8a5ed61e304fb9f46MD55falseAnonymousREAD10495/22568oai:bibliotecadigital.udea.edu.co:10495/225682025-03-27 01:28:46.653https://creativecommons.org/licenses/by/4.0/open.accesshttps://bibliotecadigital.udea.edu.coRepositorio Institucional de la Universidad de Antioquiaaplicacionbibliotecadigitalbiblioteca@udea.edu.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 |
