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

Abstract

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.