RT journal article
T1 A Synchronous Data Approach to Analyze Cloud-Induced Effects on Photovoltaic Plants Using Ramp Detection Algorithms
A1 Arenas-Ramos, Victoria
A1 Santiago-Chiquero, Isabel
A1 Gonzalez-Redondo, Miguel
A1 Real-Calvo, Rafael
A1 Pallarés López, Víctor
A1 Florencias Oliveros, Olivia
A1 Pallarés López, Víctor
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 photovoltaic plant
K1 photovoltaic fluctuations
K1 irradiance variability
K1 voltage fluctuations
K1 cloud passing
K1 Ramp Rate
K1 ramp detection algorithm
AB The proliferation of photovoltaic energy in the electricity grid presents a significant challenge in terms of management, control, and optimization, especially due to its dependence on weather behavior and cloud passing. Even if there are a great number of articles centered on study cloud passing effects, such as voltage flickers, voltage fluctuations, or ramping events, the approaches are quite heterogeneous and lack a broader perspective. A key factor might be the limiting data sets, as wide power generation data sets often omit meteorological data and vice versa. This study uses an advanced monitoring system based on phasor measurement units (PMUs), developed by the authors. The monitoring system is installed at a photovoltaic plant and generates high-quality synchronous irradiance and power data, enabling the joint analysis of irradiance transients, solar power ramp rates, and voltage fluctuations. Therefore, the results of this article present a detailed analysis of the production parameters of photovoltaic plants, focusing on the effects of passing clouds on the photovoltaic plant’s power, current, and voltage. To that end, compression algorithms such as the Swinging Door Algorithm (SDA), commonly used to detect ramp events, were employed. It was found that SDA produces a similar ramp rate output with power and irradiance data, suggesting that both data sets may be complementary. In addition, voltage fluctuations attributable to passing clouds were analyzed.
PB MDPI
SN 2076-3417
YR 2026
FD 2026-01
LK http://hdl.handle.net/10498/38650
UL http://hdl.handle.net/10498/38650
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 21-sep-2026