@article{
 title = {Optimization-based algorithms applied in photovoltaic systems},
 type = {article},
 year = {2019},
 keywords = {Algorithms,Dynamic programming,Photovoltaic energy},
 websites = {https://search.proquest.com/openview/33e52f4b710e1368bead8eda6346684a},
 id = {89bae74b-7410-35ea-86b0-1a73b40dc3d4},
 created = {2022-01-26T03:00:30.375Z},
 file_attached = {false},
 profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},
 group_id = {b9022d50-068c-31b4-9174-ebfaaf9ee57b},
 last_modified = {2022-01-26T03:00:30.375Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {Fernandez2019},
 private_publication = {false},
 abstract = {Network codes have been developed to facilitate the integration of power plants into the electrical system; a specific case is that concerning the performance of large scale photovoltaic power plants, which represents a drawback for operators of transmission systems due to the way in which solar irradiance varies during the day. The present study is focused on a group of models that are based on dynamic programming with recursive algorithms. Broadly, such algorithms may significantly benefit to the decision making in the field of the optimization of the photovoltaic systems. The main contribution of this work lies on the the compilation of a group of models whose recursive algorithms allow evaluating each stage of a given process and related to a group of parameters that can be controlled within a dynamic model whose nuances vary depending on other submodels associated with some families of classic models of linear and nonlinear programming.},
 bibtype = {article},
 author = {Fernández, Yasmany Fernández and Tobar, Ana Cabrera and Peluffo-Ordóñez, Diego H. and Manosalvas, Teresa Sánchez and Miranda, Ridelio},
 journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao}
}

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