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

机译:动态阴影效果下PV农场功率优化的新型衍生簇区方法(DCAM)

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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:提供了优化方法,用于优化阴影下PV Farm的输出功率。到目前为止,许多方法通过P-V曲线跟踪PV农场的最大功率点(MPP)来接近PV农场的输出功率。当PV Farm在部分阴影条件下的PV曲线中以PV曲线存在多个MPP时,具有复杂问题的先前方法。为了克服这些问题,所以本文提供了一种新方法,以便优化PV农场的功率输出正常和阴影条件。新方法名为Derivative Cluster Area方法(DCAM)。该方法通过在PV农场的电流和电压特性的电流和电压特性方面做出全面的方法来工作。除了在该研究区域中的综合方法外,还与基于常规和阴影条件下的每条PV农场串的集群相应电压电平的机制相结合。通过集成电流特性曲线I与V的功能而获得的区域具有很大的相当于PV农场产生的最大功率。因此,某些集群机制的总面积是PV电厂农场在正常条件下或阴影下的总功率。该研究的结论表明,与常规方法相比,在PV农场中产生的功率增加。

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