Household photovoltaic systems optimization methodology based on graph theory reliability

dc.contributor.author
Ceresuela, Jesús M.
dc.contributor.author
Chemisana Villegas, Daniel
dc.contributor.author
López Lorenzo, Ignacio
dc.date.accessioned
2024-12-05T22:24:13Z
dc.date.available
2024-12-05T22:24:13Z
dc.date.issued
2022-11-15T10:49:46Z
dc.date.issued
2022-11-15T10:49:46Z
dc.date.issued
2022
dc.identifier
https://doi.org/10.1016/j.egyr.2022.08.262
dc.identifier
2352-4847
dc.identifier
http://hdl.handle.net/10459.1/84227
dc.identifier.uri
https://hdl.handle.net/10459.1/84227
dc.description.abstract
A novel passive strategy to overcome the inconveniences of possible failure or underperformance of the components of a household scale photovoltaic (PV) system is proposed. The developed methodology is based on network reliability and determines the optimal array topology to be implemented under certain constraints through the maximization of a merit function that considers three different aspects: the total power that a structure produces, the power per panel ratio and the average reliability of the structure. Every factor is weighted through a parameter that controls its relative importance in the merit function. The restriction implemented in this study corresponds to the inherent limits in the voltage and current input of an inverter. The optimization process has been developed for several scenarios considering different decision criteria. Intuitive results are obtained when the optimization relies on the power per unit module and also when reliability is the main contributor in the merit function. When power production is preferred, structures with large number of panels prove to be the best even when they are asymmetrically connected and thus some panels are underperforming. A case study of a particular inverter has been developed to gain insight in an example, computing the optimal structure in terms of the three parameters.
dc.description.abstract
The authors would like to thank ‘‘Ministerio de Ciencia e Innovación’’ of Spain, MCIN/AEI/10.13039/501100011033 (grant references PID2019-111536RB-I00 and PID2020-115442RB-I00). Research of J. M. Ceresuela was supported by Secretaria d’Universi tats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya(grant 2020 FISDU 00596). D. Chemisana thanks ‘‘Institució Catalana de Recerca i Estudis Avançats (ICREA)’’ for the ICREA Acadèmia award.
dc.language
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111536RB-I00/ES/CONCENTRADORES SOLARES INTELIGENTES INTEGRADOS ARQUITECTONICAMENTE PARA EDIFICIOS DE CONSUMO CERO/
dc.relation
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115442RB-I00/ES/
dc.relation
Reproducció del document publicat a https://doi.org/10.1016/j.egyr.2022.08.262
dc.relation
Energy Reports, 2022, vol. 8, p. 11334-11342
dc.rights
cc-by-nc-nd (c) Jesús M. Ceresuela, Daniel Chemisana, Nacho López, 2022
dc.rights
info:eu-repo/semantics/openAccess
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Household PV systems
dc.subject
PV modeling
dc.subject
Graph theory
dc.subject
Network reliability
dc.title
Household photovoltaic systems optimization methodology based on graph theory reliability
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion


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