L. Ciabattoni, G. Ippoliti, S. Longhi, M. Cavalletti, M. Rocchetti
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引用次数: 34
摘要
本文提出了一种径向基函数(RBF)神经网络，对意大利安科纳市水平面上的24小时太阳辐射进行预报。该信息用于估算光伏(PV)工厂的产量，以便为“Gestore dei Servizi Energetici”(意大利主要的能源服务提供商)提供第二天的电力生产概况。Energy Resources SPA公司已经通过一个14千瓦时的光伏电站和一个锂电池组对该解决方案进行了实验测试。电池组用于存储所产生的超出功率或提供与参考相比的不足功率。
Solar irradiation forecasting using RBF networks for PV systems with storage
In this paper a Radial Basis Function (RBF) neural network is proposed to obtain the 24-hr forecast of the solar irradiation on the horizontal plane in the city of Ancona, Italy. This information is used to estimate the production of a PhotoVoltaic (PV) plant in order to provide the 'Gestore dei Servizi Energetici' (the main italian provider of energy services) with the power production profile of the next day. The company Energy Resources SPA has experimentally tested the proposed solution by a 14 KWp PV plant and a lithium battery pack. The battery pack is used to store the exceding power produced or to supply the lack of power compared with the reference.
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