@inbook{
 type = {inbook},
 year = {2021},
 keywords = {maximum power point tracker,mppt,photovoltaic power plant},
 pages = {77-86},
 websites = {https://www.springer.com/gp/book/9789813349087},
 publisher = {Springer},
 chapter = {A Dynamic Programming Approach for Power Curtailment Decision Making on PV Systems},
 id = {d8f27343-8102-30eb-9360-72a092047913},
 created = {2021-03-26T17:10:15.395Z},
 file_attached = {false},
 profile_id = {db6e6aab-fd37-3eb4-a783-8d5b130a8825},
 last_modified = {2021-03-26T17:13:43.726Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
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 abstract = {The new grid codes for large-scale photovoltaic power plants require power curtailment despite the variation of solar irradiance. This power curtailment is been developed considering one reference of active power. However, this value is chosen according to the demand, but it is not considering other aspects as solar irradiance or cloudiness. Therefore, this article presents a novel approach to tackle this issue. For this, stochastic dynamic programming is considered to optimize the decision of the power reference every hour considering the solar irradiance and cloudiness during different stages of the day. The results obtained are compared with the performance of the photovoltaic power plant, and it is a referential approach that uses the maximum power point tracking algorithms for the construction of referential power intervals over longer time intervals.},
 bibtype = {inbook},
 author = {Fernández-fernández, Yasmany and Lorente-leyva, Leandro L and Peluffo-ordóñez, Diego H and Álvarez, Elia N Cabrera},
 doi = {https://doi.org/10.1007/978-981-33-4909-4_6},
 title = {International Conference on Communication, Computing and Electronics Systems}
}

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