RT journal article
T1 Meteorological contexts in the analysis of cloud-induced photovoltaic transients: A review
A1 Agüera Pérez, Agustín
A1 Espinosa Gavira, Manuel Jesús
A1 Palomares Salas, José Carlos
A1 González de la Rosa, Juan José
A1 Sierra Fernández, José María
A1 Florencias Oliveros, Olivia
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 BESS
K1 Battery Energy Storage System
K1 CSMS
K1 Cloud Shadow Motion Sensor
K1 DF
K1 Distribution Feeder
K1 MPPT
K1 Maximum Power Point Tracking
K1 NL
K1 Network Losses
K1 PQ
K1 Power Quality
K1 PSP
K1 Partial Shading Pattern
K1 PV
K1 Photovoltaic
K1 Ramp Rate
K1 RR
K1 SOC
K1 State of Charge
K1 Single photovoltaic System
K1 SS
K1 TO
K1 Tap Operations
K1 VF
K1 Voltage Fluctuations
AB There is a prolific literature on the mitigation of cloud-induced photovoltaic fluctuations as a key objective for the effective grid integration of this renewable energy capacity. The meteorological context is of high relevance in such a problem, but it is frequently analysed separately from electrical considerations. However, a few studies have combined both sides of the problem, thus providing valuable references for examining their interdependencies. Therefore, this review focuses on this set of studies to explore the use of meteorological information in the analysis of cloud-induced photovoltaic transients in terms of scales, elements, and objectives under consideration. This examination shows the dependence of the results on the chosen context, allowing for the identification of the strengths and weaknesses of each approach. On this basis, some recommendations for future work are drawn, such as the use of spatiotemporal descriptions of cloud passage, description of the meteorological scenario for an adequate interpretation of results, and necessity of holistic approaches to integrate advances from the meteorological and electrical perspectives of the problem.
PB Elsevier Ltd
SN 1879-0690
YR 2024
FD 2024-06-22
LK http://hdl.handle.net/10498/38263
UL http://hdl.handle.net/10498/38263
LA eng
NO This work was supported by the Spanish Ministry of Science and Innovation (Grant Number: PID2019-108953RB-C21). The authorswould like to thank the Andalusian Government for funding the Research Unit PAIDI-TIC-168.
DS Repositorio Institucional de la Universidad de Cádiz
RD 05-nov-2026