RT info:eu-repo/semantics/article
T1 Optimized design method for storage systems in photovoltaic plants with delivery limitation
A1 Colmenar Santos, Antonio
A1 Monteagudo Mencucci, Mario
A1 Rosales Asensio, Enrique
A1 Simón Martín, Miguel de
A1 Pérez Molina, Clara
A2 Ingenieria Electrica
K1 Electrotecnia
K1 Energía
K1 Ingeniería industrial
K1 Renewable energy storage
K1 Photovoltaic solar energy
K1 System optimization
K1 Battery capacity
K1 Energía Renovable
K1 Energía Solar Fotovoltaica
K1 Batería
K1 Optimización
K1 3322.05 Fuentes no Convencionales de Energía
AB [EN] It results widely common for distribution network operators to impose restrictions on delivered solar photovoltaic generated power when the power plant rated power is greater than the maximum allowed due to the distribution network capacity. Thus, a feasible solution to maximize the performance of the solar power plant is the integration of battery energy storage systems. Although this configuration has been extensively studied in the existing literature, an optimal design method to determine the proper size and operation of the energy storage system needs to be developed. In this paper, a novel method to help power plants designers to determine the optimal battery energy storage capacity to integrate into any solar photovoltaic power plant is provided. The proposed algorithm minimizes the potential power curtailment and optimizes the utilization rate of the batteries storage system. The algorithm can be applied to any grid connected solar photovoltaic power plant under delivery power restrictions, regardless of power capacity and location. The algorithm has been implemented to a simulated power plant with delivery limitations based in a real case, and results with the optimal battery capacity show that the system would be able to recover up to the 83% of the curtailed energy and a yearly average capacity utilization of 56%. Moreover, the BESS operation has been validated with a scaled model run in Simulink and laboratory measurements, achieving 98% of curtailed energy recovery rate and a 57% of average capacity utilization.
PB Elsevier
SN 0038-092X
LK https://hdl.handle.net/10612/17649
UL https://hdl.handle.net/10612/17649
NO Colmenar-Santos, A., Monteagudo-Mencucci, M., Rosales-Asensio, E., de Simón-Martín, M., & Pérez-Molina, C. (2019). Optimized design method for storage systems in photovoltaic plants with delivery limitation. Solar Energy, 180, 468–488. https://doi.org/10.1016/j.solener.2019.01.046
NO Versión aceptada para publicación. No contiene los cambios menores recogidos tras el proof reading.
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 21-may-2024