An Experimental Study on Energy Management of Grid-Connected Hybrid PV-Battery-Fuel Cell System

Akshaya K. Pati, N. Sahoo
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Abstract

In this paper, a real-time implementation of energy management algorithm for a grid-connected hybrid system such as PV-battery-fuel cell system is presented. Along with the energy management algorithm a suitable load side management algorithm is also implemented for optimal use of the available power sources. The objective of this study is to minimal dependency on the grid power. Both the load management algorithm and energy management algorithm are developed in the LabVIEW. The voltage current signals of all power sources are connected to the Single Board Reconfigurable Input/output (SBRIO) 9606 with General Purpose Inverter Control (GPIC) 96893 card. A complete experimental setup with the power source and the converter are developed in the laboratory. The real-time results are captured in Graphical User Interface (GUI) of LabVIEW software.
并网光伏-电池-燃料电池混合系统能量管理实验研究
本文提出了一种并网混合系统(如光伏电池-燃料电池系统)能量管理算法的实时实现。除了能量管理算法外,还实现了合适的负载侧管理算法,以优化使用可用电源。本研究的目的是尽量减少对电网的依赖。负载管理算法和能量管理算法都是在LabVIEW中开发的。所有电源的电压电流信号都连接到带有GPIC (General Purpose逆变控制)96893卡的SBRIO (Single Board Reconfigurable Input/output) 9606。在实验室中建立了一个完整的实验装置,包括电源和变换器。在LabVIEW软件的图形用户界面(GUI)中实时捕获结果。
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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