Resolving challenges of monitoring PV systems: A case study for three 1.5 kW generators in Lima, Peru

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dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ciencias
dc.contributor.affiliationPontificia Universidad Católica del Perú. Departamento de Ingeniería
dc.contributor.authorBerastain, A.
dc.contributor.authorConde, L.
dc.contributor.authorAngulo, J.R.
dc.contributor.authorCarhuavilca, A.M.
dc.contributor.authorGarcía, M.
dc.contributor.authorSevillano-Bendezú, M.A.
dc.contributor.authorMontes-Romero, J.
dc.contributor.authorde la Casa, J.
dc.contributor.authorChirinos, L.
dc.contributor.authorTöfflinger, J.A.
dc.date.accessioned2026-03-13T16:57:47Z
dc.date.issued2022
dc.description.abstractAbstract This paper addresses challenges from monitoring three grid-connected PV systems with different module technologies in Lima, Peru, following the International Electrotechnical Commission (IEC) standards. Missing and erroneous data due to sensor malfunction or partial shadowing can negatively impact the measured data quality. We developed a program to automatically detect erroneous measurements, enhance the data quality, and calculate PV performance parameters following the IEC-61724 standard to resolve these challenges. The program includes mathematical methods to replace faulty or missing measurements. Finally, we present the impact of the algorithms for erroneous data detection, deletion, and correction on performance calculations.
dc.description.sponsorshipFunding: This work received financial support by the Concytec – World Bank project “Mejoramiónto y Ampliación de los Servicios del Sistema Nacional de Ciencia Tecnología e Innovación Tecnológica” 8682-PE, through its executing unit PROCIENCIA, contract N°045-2018-FONDECYT-BM-IADT-MU. Additiónal support was provided by the vice-chancellorship for research of the Pontificia Universidad Católica del Perú (PUCP) (contract no. CAP-2020-1-0087).
dc.identifier.doihttps://doi.org/10.1088/1742-6596/2180/1/012006
dc.identifier.urihttp://hdl.handle.net/20.500.14657/205666
dc.language.isoeng
dc.publisherIOP Publishing
dc.relation.conferencenameJournal of Physics: Conference Series; Vol. 2180, Núm. 1 (2022)
dc.relation.ispartofurn:issn:1742-6588
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectPhotovoltaic system
dc.subjectGrid
dc.subjectMissing data
dc.subjectReliability engineering
dc.subjectComputer science
dc.subjectData quality
dc.subjectQuality (philosophy)
dc.subjectSystems engineering
dc.subjectData mining
dc.subjectReal-time computing
dc.subjectEngineering
dc.subjectElectrical engineering
dc.subjectGeography
dc.subjectMachine learning
dc.subjectOperations management
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.00
dc.titleResolving challenges of monitoring PV systems: A case study for three 1.5 kW generators in Lima, Peru
dc.typehttp://purl.org/coar/resource_type/c_5794
dc.type.otherComunicación de congreso
dc.type.versionhttps://vocabularies.coar-repositories.org/version_types/c_970fb48d4fbd8a85/

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