论文标题
自适应步长尺寸增量电导率基于最大功率跟踪（MPPT）
Adaptive Step Size Incremental Conductance Based Maximum Power Point Tracking (MPPT)
论文作者
论文摘要
从光伏阵列中提取最大功率需要以最大功率点（MPP）运行的系统。因此，找到MPP对于有效的PV阵列运行是必需的。 MPP随多种环境因素（主要是温度和辐照度）而变化。传统上，使用固定步骤尺寸的增量电导技术来找到MPP，这在收敛速度和准确性之间取决于权衡。在这项工作中，我们提出了一个具有可变步长大小的增量电导率最大功率跟踪（MPPT）算法，该算法会根据当前操作点与新MPP的距离自适应地改变了每次迭代后的步长大小。这通过实现更快的收敛速度而不会损失准确性，从而大大减轻上述权衡。使用MATLAB进行了一系列涉及温度和辐照度变化的模拟，并将收敛和准确性的速度与传统IC技术进行了比较。
Extracting maximum power available from photovoltaic arrays requires the system operating at the maximum power point (MPP). Therefore, finding the MPP is necessary for efficient operation of PV arrays. The MPP changes with multiple environmental factors, mainly temperature and irradiance. Traditionally, the incremental conductance technique with fixed step size was used to find the MPP, which suffers from a trade-off between speed of convergence and accuracy. In this work, we propose an incremental conductance maximum power point tracking (MPPT) algorithm with a variable step size, which adaptively changes the step size after each iteration based on how far away the current operating point is from a new MPP. This mitigates the aforementioned trade-off drastically by achieving faster convergence speed without the loss of accuracy. A series of simulations involving variations in temperature and irradiance were performed using MATLAB, and the speed of convergence and accuracy were compared with the traditional IC technique.
