DESIGN AND TESTING OF MAXIMUM POWER POINT TRACKING SYSTEM USING ARTIFICIAL NEURAL NETWORK FOR SOLAR PANEL

Arun Madan, V. Parthasarathy
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引用次数: 1

Abstract

Maximum power point tracking (MPPT) is a technique to maximize the power output. Photovoltaic Cells and other similar devices use this technique to get maximum power. Photovoltaic cells have a complex relationship between their operating environment and power they can produce. [1] The power output depends mainly on solar irradiance, temperature and total resistance. Due to nonlinear I-V characteristics, where output power varies with cell voltage it is necessary to develop a mechanism that will harness the maximum power available from sun at all the times.
基于人工神经网络的太阳能帆板最大功率跟踪系统的设计与测试
最大功率点跟踪(MPPT)是一种使输出功率最大化的技术。光伏电池和其他类似的设备使用这种技术来获得最大的功率。光伏电池的工作环境与发电能力之间存在着复杂的关系。[1]输出功率主要取决于太阳辐照度、温度和总电阻。由于非线性I-V特性,其中输出功率随电池电压而变化,因此有必要开发一种机制,在任何时候都能利用太阳提供的最大功率。
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