光伏阵列在实际工作条件下因灰尘、受照不均匀等影响而功率输出呈现多峰特性,传统的最大功率点跟踪(maximum power point tracking,MPPT)算法不能实现全局寻优,无法精确跟踪到最大功率点。遗传算法可以有效解决多峰寻优问题,但一般遗传...光伏阵列在实际工作条件下因灰尘、受照不均匀等影响而功率输出呈现多峰特性,传统的最大功率点跟踪(maximum power point tracking,MPPT)算法不能实现全局寻优,无法精确跟踪到最大功率点。遗传算法可以有效解决多峰寻优问题,但一般遗传算法在跟踪过程中会出现早熟、准确率较低等问题,为此,提出一种多种群遗传算法(multiple population genetic algorithm,MPGA)与扰动法相结合的算法来解决此类问题。在光伏电池拓扑模型中,采用优化双二极管代替单二极管模型,并在Matlab/Simulink下进行建模仿真。结果表明:该算法可以准确快速高效地找到局部阴影条件下光伏阵列的最大功率点。展开更多
The mathematical modeling of solar cells is essential for any optimization operation of the efficiency or the diagnosis of photovoltaic generator. The photovoltaic module is generally represented by an equivalent circ...The mathematical modeling of solar cells is essential for any optimization operation of the efficiency or the diagnosis of photovoltaic generator. The photovoltaic module is generally represented by an equivalent circuit whose parameters are experimentally calculated by using the characteristic current-tension, I-V. The precise determination of these parameters stays a challenge for the researchers, making to a big difference in the models and the digital methods dedicated to their characterizations. In the present paper, We are interested to characterize the parameters of single diode and two diodes models, in order to plan the behavior of the photovoltaic generator under real functioning conditions. We developed an identification method of the parameters using Newton Raphson method by using the software Matlab/Simulink. This method is the faster technique which allows the identification of several parameters and can be used in real time applications. The results of the proposed method show an accordance with the experimental and simulated characteristics of photovoltaic generator.展开更多
文摘光伏阵列在实际工作条件下因灰尘、受照不均匀等影响而功率输出呈现多峰特性,传统的最大功率点跟踪(maximum power point tracking,MPPT)算法不能实现全局寻优,无法精确跟踪到最大功率点。遗传算法可以有效解决多峰寻优问题,但一般遗传算法在跟踪过程中会出现早熟、准确率较低等问题,为此,提出一种多种群遗传算法(multiple population genetic algorithm,MPGA)与扰动法相结合的算法来解决此类问题。在光伏电池拓扑模型中,采用优化双二极管代替单二极管模型,并在Matlab/Simulink下进行建模仿真。结果表明:该算法可以准确快速高效地找到局部阴影条件下光伏阵列的最大功率点。
文摘The mathematical modeling of solar cells is essential for any optimization operation of the efficiency or the diagnosis of photovoltaic generator. The photovoltaic module is generally represented by an equivalent circuit whose parameters are experimentally calculated by using the characteristic current-tension, I-V. The precise determination of these parameters stays a challenge for the researchers, making to a big difference in the models and the digital methods dedicated to their characterizations. In the present paper, We are interested to characterize the parameters of single diode and two diodes models, in order to plan the behavior of the photovoltaic generator under real functioning conditions. We developed an identification method of the parameters using Newton Raphson method by using the software Matlab/Simulink. This method is the faster technique which allows the identification of several parameters and can be used in real time applications. The results of the proposed method show an accordance with the experimental and simulated characteristics of photovoltaic generator.
