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首页> 外文期刊>Indian Journal of Science and Technology >Comparative Study on Storage Devices for Standalone Hybrid Energy Systems
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Comparative Study on Storage Devices for Standalone Hybrid Energy Systems

机译:独立混合能源系统存储设备的比较研究

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Background/Objectives: The intermittency in the renewable sources is a great menace to the quality of the power delivered and to the lifetime of the components. In the process of straightening up the short coming storage devices come in handy. Methods/Statistical Analysis: Batteries and fuel cells are the commonly used storage devices for Photovoltaic system. Recently ultra-capacitors are introduced in combination with storage devices as it has a better power density as compared to batteries and fuel cells. Also, the ultra-capacitors can provide higher energy for a short period of time. This paper deals with comparison of different storage devices incorporated with the Photovoltaic panels. A combination of PV/battery, PV/fuel cell and PV/battery/ultra-capacitor are taken into consideration. Findings: The number of PV panels in parallel, number of batteries in parallel and the number of fuel cells are the variables that are considered for the minimization of cost and Expected Energy Not Served (EENS) using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) in MATLAB programming environment. The load profile and the solar irradiation data of Zaragoza (Spain) are considered for implementation. It is finally concluded that PV/battery/ultra-capacitor combination gives minimum cost and EENS as compared to the PV/battery and PV/fuel cell based systems. Applications: This can be applied as an optimization tool to bring out the conclusion in choosing an appropriate storage device, in combination with the renewable PV based standalone system.
机译:背景/目标:可再生能源的间歇性对于传递的电能质量和组件的使用寿命具有极大的威胁。在整理过程中,不久的存储设备会派上用场。方法/统计分析:电池和燃料电池是光伏系统的常用存储设备。最近,超级电容器与存储设备结合使用,因为与电池和燃料电池相比,超级电容器具有更好的功率密度。而且,超级电容器可以在短时间内提供更高的能量。本文比较了与光伏面板结合的不同存储设备。考虑了PV /电池,PV /燃料电池和PV /电池/超电容器的组合。研究结果:并联光伏面板的数量,并联电池的数量和燃料电池的数量是使用非主导排序遗传算法II(图1)将成本和未提供预期能源(EENS)最小化的变量( NSGA-II)在MATLAB编程环境中。考虑实施萨拉戈萨(西班牙)的负荷曲线和太阳辐射数据。最终得出的结论是,与基于光伏/电池和光伏/燃料电池的系统相比,光伏/电池/超级电容器的组合可提供最低的成本和EENS。应用:与基于可再生PV的独立系统结合使用时,它可以用作优化工具,以得出选择合适存储设备的结论。

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