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Problem-Solving Mismatching Losses of Photovoltaic (PV) System under Partially Shaded Conditions

机译:部分遮蔽条件下解决光伏系统问题的失配损失

摘要

One of the recent concerns in the photovoltaic (PV)udsystem practice is solving the mismatching losses due to theudpartially shaded conditions. Mismatching problems mean that theudI-V and P-V curves between the shaded and non-shaded parts ofudPV module are totally different. Under mismatching condition,udmultiple local peaks can be observed in the PV moduleudcharacteristics which pose difficulties for controllers to track theudmaximum point. To overcome such problems, current injectionudmethod is used to compensate the output current of the shadedudpart. The amount of injected current and to which part of thisudcurrent being injected are determined by utilizing the intelligentudnetwork by means of Artificial Neural Network (ANN). Theudproposed method is always end up with single local maximumudpoint that makes the optimum point can be easily identified usingudconventional controller.
机译:光伏(PV) udsystem实践中最近关注的问题之一是解决由于部分阴影条件而导致的失配损耗。不匹配的问题意味着 udPV模块的阴影部分和非阴影部分之间的 udI-V和P-V曲线完全不同。在不匹配的情况下,在PV模块中会观察到 ud多个局部峰 ud特征,这给控制器跟踪 udmaximum点带来了困难。为了克服这些问题,电流注入 udmethod用于补偿阴影 udpart的输出电流。通过利用人工神经网络(ANN)使用智能 udnetwork,可以确定注入电流的量以及注入该 ud电流的一部分。提议的方法总是以单个局部最大值结束,从而可以使用常规控制器轻松确定最佳点。

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    Syafaruddin;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 en
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