Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/112119
Title: Storage systems in photovoltaic plants with delivery limitation
Authors: Colmenar-Santos, Antonio
Monteagudo-Mencucci, Mario
de Simón-Martín, Miguel
Pérez-Molina, Clara
Rosales Asensio, Enrique 
UNESCO Clasification: 332205 Fuentes no convencionales de energía
330609 Transmisión y distribución
332201 Distribución de la energía
Keywords: Battery capacity
Photovoltaic solar energy
Renewable energy storage
System optimization
Issue Date: 2021
Publisher: Academic Press (Elsevier) 
Abstract: It is widely common for distribution network operators to impose restrictions on delivered solar photovoltaic (PV) generated power when the power-plant-rated power is greater than the maximum allowed power 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 (BESS). 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 chapter, a novel method to help power plant designers to determine the optimal battery energy storage capacity to integrate into any solar PV 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 PV 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 on a real case, and results with the optimal battery capacity show that the system would be able to recover up to 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.
URI: http://hdl.handle.net/10553/112119
ISBN: 978-0-12-824555-2
DOI: 10.1016/B978-0-12-824555-2.00016-2
Source: Design, Analysis, and Applications of Renewable Energy Systems / Ahmad Taher Azar; Nashwa Ahmad Kamal (eds.), Chapter 3, p. 53-77
Appears in Collections:Capítulo de libro
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