基于功率预测的新型变步长电导增量法最大功率点跟踪策略

光伏电池的输出特性具有强烈的非线性，最大功率点跟踪技术能够提高光伏系统的效率。常规定步长算法在选取步长时在响应速度和稳态精度之间无法兼顾。变步长算法在同一光照强度具有良好性能，但在光照突变时存在最大功率点跟踪死区的情况。提出了基于功率预测的新型变步长电导增量法。该方法采用一种新的步长调整系数，能够根据外界条件的变化调节步长，解决了跟踪速度与稳态精度之间的矛盾。并且当光照剧烈变化时，确保扰动前后的判断是基于同一功率曲线进行的，避免误判现象的发生。仿真验证了该算法的有效性。

Maximum power point tracking strategy based on power predication for a novel variable step-size incremental conductance algorithm

The output characteristics of photovoltaic cells are strongly nonlinear, and the maximum power point tracking technique can improve the efficiency of photovoltaic systems. Traditional fixed step-size algorithm must take a compromise between the steady-state accuracy and the response speed in selecting step. Variable step-size algorithm has good performance at the same light intensity, while it exists dead zone of maximum power point tracing when the external conditions change drastically. A new variable step-size incremental conductance method based on power prediction is proposed. This method adopts a new step-size adjustment coefficient. It can adjust the step size according to the change of external conditions and solve the contradiction between tracking speed and steady-state precision. When the illumination changes drastically, the algorithm ensures that the judgments before and after the disturbance are carried out on the same power curve to avoid the occurrence of misjudgment. Simulation results show the effectiveness of the proposed algorithm.