Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application

The simulation and discussion of two metaheuristic maximum power point tracking techniques (MPPT) for a photo-voltaic (PV) system under different irradiance conditions is shown, namely Firefly Algorithm and Cuckoo Search Algorithm. The PV system, the global MPPT problem and techniques are addressed....

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Autores:
Méndez Murillo, Santiago
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2017
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/61892
Acceso en línea:
http://hdl.handle.net/1992/61892
Palabra clave:
Metaheurística
Sistemas de energía fotovoltaicos
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Quijano Silva, Nicanorvirtual::14345-1Méndez Murillo, Santiagoeaa3328f-a17f-4aa0-8b0b-d5140dc1039b500Giraldo Trujillo, Luis Felipe2022-09-26T22:43:41Z2022-09-26T22:43:41Z2017http://hdl.handle.net/1992/61892instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/795662-1001The simulation and discussion of two metaheuristic maximum power point tracking techniques (MPPT) for a photo-voltaic (PV) system under different irradiance conditions is shown, namely Firefly Algorithm and Cuckoo Search Algorithm. The PV system, the global MPPT problem and techniques are addressed. Evaluation of performance is done based on the integral absolute error and efficiency mainly. Cuckoo Search yields better overall results under uniform irradiance conditions, under partial shading conditions and under different ambiance temperatures than the Firefly Algorithm. The importance of well distributed initial set of solutions for these algorithms is addressed and validated.La simulación y discusión de dos técnicas metaheurísticas de maximum power point tracking (MPPT) para un sistema fotovoltaico (PV) bajo diferentes condiciones de irradiancia es mostrado, concretamente las técnicas son Firefly Algorithm y Cuckoo Search Algorithm. El sistema PV, el problema de MPPT global y las técnicas son abordados. La evaluación del desempeño es realizado principalmente con base en el error integral absoluto y la eficiencia. La técnica Cuckoo Search muestra mejores resultados en general que la túcnica Firefly Algorithm bajo condiciones de irradiancia uniforme, sombreado parcial y distintas temperaturas. La importancia de un conjunto de soluciones iniciales bien distribuido es abordado y validado para estos algoritmos.Ingeniero ElectrónicoPregradoiii, 18 hojasapplication/pdfengUniversidad de los AndesIngeniería ElectrónicaFacultad de IngenieríaDepartamento de Ingeniería Eléctrica y ElectrónicaEvaluation of firefly algorithm and cuckoo search algorithm for PV MPPT applicationTrabajo de grado - Pregradoinfo:eu-repo/semantics/bachelorThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_7a1fTexthttp://purl.org/redcol/resource_type/TPMetaheurísticaSistemas de energía fotovoltaicos201224750Publicationhttps://scholar.google.es/citations?user=xu0jdYAAAAAJvirtual::14345-10000-0002-8688-3195virtual::14345-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000849669virtual::14345-1698e35fc-6e9e-4c84-8960-ae30da9bc64avirtual::14345-1698e35fc-6e9e-4c84-8960-ae30da9bc64avirtual::14345-1ORIGINAL13037.pdfapplication/pdf793450https://repositorio.uniandes.edu.co/bitstreams/74e8c0d9-c955-4293-ab51-1d75c97e33f2/downloadcaf2953993827e3882f3921ded226a0aMD51THUMBNAIL13037.pdf.jpg13037.pdf.jpgIM Thumbnailimage/jpeg11291https://repositorio.uniandes.edu.co/bitstreams/3dbd2368-bf7b-4a56-a645-2e9a24864a7c/download921eddd443be9dc2e54dee2fc3a1010fMD53TEXT13037.pdf.txt13037.pdf.txtExtracted texttext/plain32008https://repositorio.uniandes.edu.co/bitstreams/fb675bc4-9750-41d0-978c-633fef984e10/download1308735712fb52d650f97bd284d2c608MD521992/61892oai:repositorio.uniandes.edu.co:1992/618922024-03-13 15:10:41.585https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.spa.fl_str_mv Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
title Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
spellingShingle Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
Metaheurística
Sistemas de energía fotovoltaicos
title_short Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
title_full Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
title_fullStr Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
title_full_unstemmed Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
title_sort Evaluation of firefly algorithm and cuckoo search algorithm for PV MPPT application
dc.creator.fl_str_mv Méndez Murillo, Santiago
dc.contributor.advisor.none.fl_str_mv Quijano Silva, Nicanor
dc.contributor.author.none.fl_str_mv Méndez Murillo, Santiago
dc.contributor.jury.none.fl_str_mv Giraldo Trujillo, Luis Felipe
dc.subject.keyword.spa.fl_str_mv Metaheurística
Sistemas de energía fotovoltaicos
topic Metaheurística
Sistemas de energía fotovoltaicos
description The simulation and discussion of two metaheuristic maximum power point tracking techniques (MPPT) for a photo-voltaic (PV) system under different irradiance conditions is shown, namely Firefly Algorithm and Cuckoo Search Algorithm. The PV system, the global MPPT problem and techniques are addressed. Evaluation of performance is done based on the integral absolute error and efficiency mainly. Cuckoo Search yields better overall results under uniform irradiance conditions, under partial shading conditions and under different ambiance temperatures than the Firefly Algorithm. The importance of well distributed initial set of solutions for these algorithms is addressed and validated.
publishDate 2017
dc.date.issued.spa.fl_str_mv 2017
dc.date.accessioned.none.fl_str_mv 2022-09-26T22:43:41Z
dc.date.available.none.fl_str_mv 2022-09-26T22:43:41Z
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dc.language.iso.spa.fl_str_mv eng
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dc.format.extent.spa.fl_str_mv iii, 18 hojas
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dc.publisher.spa.fl_str_mv Universidad de los Andes
dc.publisher.program.spa.fl_str_mv Ingeniería Electrónica
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.department.spa.fl_str_mv Departamento de Ingeniería Eléctrica y Electrónica
institution Universidad de los Andes
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