A Neural Network Based Hybrid Energy Storage System Connected to a DC Standalone PV System

Pallavi Mohan R, R. Sreelekshmi, M. Nair
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Abstract

Solar power generation is regarded as the propitious generation method that is used in microgrids. Intermittent nature is one of the major obstruction in the PV system. Battery energy storage systems (BESS) can be used for mitigating this issue. But battery lifespan will be adversely affected due to intermittency of PV. By contemplating this, a hybrid combination of Supercapacitor (SC) and Lithium ion battery with its high energy and power density respectively along with Artificial Neural Network (ANN) is introduced here to surmount the limitations of available storage systems. Simulation is implemented in MATLAB/Simulink.
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基于神经网络的混合储能系统与直流独立光伏系统的连接
太阳能发电被认为是微电网中最有利的发电方式。间歇性是光伏发电系统的主要障碍之一。电池储能系统(BESS)可以用来缓解这个问题。但光伏发电的间歇性会对电池寿命产生不利影响。考虑到这一点,本文提出了一种能量密度高、功率密度高的超级电容器(SC)和锂离子电池的混合组合,以及人工神经网络(ANN),以克服现有存储系统的局限性。仿真在MATLAB/Simulink中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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