Determination of Hybrid Energy Storage System Capacity based on Empirical Mode Decomposition for a High PV Penetrated Standalone Microgrid

H. Hettiarachchi, S. Rajakaruna, S. Choi, A. Ghosh
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引用次数: 1

Abstract

This paper targets to introduce a novel approach for capacity determination of a hybrid energy storage system (HESS) of a standalone microgrid with high PV penetration. The imbalance power between solar PV and load is decomposed to yield its frequency-time components using Empirical Mode Decomposition (EMD) technique. Statistical characteristics of the components are then matched against the attributes of the energy storage devices, namely the electrochemical battery and supercapacitors. This is to achieve the collective benefit of the two storage media in their unique power and energy handling capabilities. This integrated approach is utilized to smoothen the PV variations in the most cost-effective manner. Concurrently, a proposed design procedure is used to determine the storage capacities of the hybrid energy storage system to avoid penalty of un-met load.
基于经验模态分解的高光伏单体微电网混合储能系统容量确定
本文旨在介绍一种确定高光伏渗透率的独立微电网混合储能系统(HESS)容量的新方法。利用经验模态分解(EMD)技术对太阳能光伏与负荷之间的不平衡功率进行分解,得到其频率-时间分量。然后将组件的统计特性与能量存储设备(即电化学电池和超级电容器)的属性进行匹配。这是为了实现两种存储介质在其独特的功率和能量处理能力方面的集体利益。这种综合方法被用来以最具成本效益的方式平滑PV变化。同时,提出了一种设计方法来确定混合储能系统的存储容量,以避免未满足负荷的惩罚。
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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