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BP神经网络在光伏发电MPPT中的应用 被引量:6

Application of BP Neural Networks in MPPT of Photovoltaic Power System
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摘要 介绍了光伏电池的特性,提出了一种基于BP神经网络的最大功率跟踪的控制策略,并进行了仿真试验。结果表明,该方法能够快速、准确地跟踪光伏电池的最大功率点,具有较好的控制精度,从而提高了电能的转换效率。 The characteristics of photovoltaic(PV) were introduced.A control scheme based on back-propagation(BP) networks was proposed for MPPT.The simulation results showed that MPPT could be tracked exactly and quickly.It had good control precision,the exchange efficiency was improved in photovoltaic power system.
作者 张蔚
出处 《现代建筑电气》 2010年第4期54-57,共4页 Modern Architecture Electric
关键词 光伏发电系统 最大功率跟踪 BP神经网络 photovoltaic power system maximum power point tracking(MPPT) back-propagation(BP) networks
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