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Novel derivative cluster area methods (DCAM) for power optimization of PV farm under dinamically shading effect

机译:动态阴影效应下光伏电站功率优化的新型微分簇面积法(DCAM)

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摘要

Optimization method has been provided for optimizing output power of PV Farm under shaded. So far, many methods approaching the output power of PV Farm by tracking the Maximum Power Point (MPP) of PV farm using P-V curve. The previous methods having complex problem when multiple of MPP is exist in P-V curve when PV farm under partially shaded condition. To overcome these problems so in this paper offers a new method in order to optimize the power output of PV farm for normal and under shaded condition. The new method was named Derivative Cluster Area Methods (DCAM). The method works by doing a comprehensive approach in areas (wide) of the current and voltage characteristic on I vs V curve of PV Farm. In addition to a comprehensive approach in this research area is also combined with a mechanism based on the cluster corresponding voltage levels on each string of PV Farm at normal and under shaded condition. The area where that was obtained by integrating the functions of the current Characteristic curve I vs. V has a large equivalent to the maximum of the power generated by the PV Farm. So that the total area of the mechanism of some cluster is the total power generated by the PV power plant Farm Under normal conditions or under shaded. The conclusion from this study showed that the power generated in a PV farm was increased when compared to the conventional method.
机译:提供了一种优化方法,用于在阴影下优化光伏电站的输出功率。到目前为止,有许多方法通过使用P-V曲线跟踪PV场的最大功率点(MPP)来接近PV场的输出功率。当部分遮蔽条件下的光伏场在P-V曲线中存在多个MPP时,先前的方法存在复杂的问题。为了克服这些问题,本文提供了一种新方法,可以在正常和阴暗条件下优化光伏电站的功率输出。将该新方法命名为“派生聚类区域方法(DCAM)”。该方法通过对PV Farm的I vs V曲线上的电流和电压特性区域(宽)进行综合处理而起作用。除此研究领域中的综合方法外,还结合了一种机制,该机制基于在正常和阴暗条件下群集的每个PV Farm串上相应的电压水平。通过积分当前特性曲线I与V的函数获得的面积与PV Farm产生的最大功率相当。因此,某个群集的机制的总面积就是正常条件下或在阴影下由光伏电站Farm产生的总功率。这项研究的结论表明,与传统方法相比,光伏电站中产生的功率有所增加。

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