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Gravitational Search Algorithm-based Photovoltaic Array Reconfiguration for Partial Shading Losses Reduction

机译:基于引力搜索算法的光伏阵列重新配置,用于减少部分遮蔽损耗

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The operation of a photovoltaic (PV) array under partial shading (PS) conditions represents a great challenge in the PV systems. The PS of a PV array causes a reduction of the generated power of such array and increases the thermal losses inside the shaded modules. This paper presents the gravitational search algorithm (GSA) to optimally fully reconfigure the PV array with the purpose of reducing the PS losses. The single diode PV model is used to model the PV module. The GSA code is built using MATLAB environment. The target of the optimized problem is to minimize the irradiance level mismatch index. The reconfigurable PV array is modelled using MATLAB/SIMULINK environment. The validity of the GSA-based reconfigurable PV array is verified by the simulation results. The effectiveness of proposed PV array is evaluated by comparing its results with that of other PV array configurations under different PS and PV modules conditions.
机译:局部阴影(PS)条件下的光伏(PV)阵列的操作代表了PV系统中的巨大挑战。 PV阵列的PS导致这种阵列的产生功率降低,并增加了阴影模块内的热损失。本文介绍了重力搜索算法(GSA),以最佳地重新配置PV阵列,目的是降低PS损耗。单二极管PV型号用于模拟PV模块。 GSA代码是使用MATLAB环境构建的。优化问题的目标是最小化辐照度水平不匹配指数。可重配置的PV阵列使用MATLAB / SIMULINK环境进行建模。通过仿真结果验证了基于GSA的可重构PV阵列的有效性。通过将其结果与不同PS和PV模块条件的其他PV阵列配置进行比较来评估所提出的PV阵列的有效性。

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