基于电导增量法的全局最大功率点跟踪算法

Global Maximum Power Point Tracking Algorithm Based on Conductance Increment Method

  • 摘要: 在部分阴影条件(Partially shaded condition, PSC)下,光伏阵列的功率曲线有多个峰值。传统的跟踪方法只在均匀光照条件(Uniform irradiance condition,UIC)下有效,在PSC情况下则无法追踪到全局峰值(Global peak,GP)。为了在均匀光照条件下和部分阴影条件下均能快速有效地跟踪到GP,提出一种基于变步长电导增量(Incremental conductance,INC)法的GP跟踪算法。该算法主体由四个步骤构成,通过循环执行这四个步骤来寻找全局峰值点。为了提高跟踪精度,所提算法在局部峰值点附近使用一种变步长的INC算法以减小扰动步长。为了减少跟踪时间,算法采用了两种扰动步长,特别是在步骤二和步骤三中通过采用较大的扰动步长,加快了跟踪速度。最后,通过在Matlab构建模型,验证了所提算法的效果。仿真结果表明,该方法比传统的INC全局方法速度更快、精度更大、效率更高。

     

    Abstract: Under the partially shaded condition(PSC), the power curve of the photovoltaic array has multiple peaks. The traditional tracking methods are effective under uniform illumination condition(UIC), but cannot track the global peak(GP) under PSC. In order to track GP quickly and effectively under uniform illumination condition and partially shaded condition, a GP tracking algorithm based on variable step incremental conductance(INC) method is proposed. The main body of the algorithm consists of four steps, which are executed circularly to find the global peak point. In order to improve the tracking accuracy, the algorithm uses an INC algorithm with variable step size to reduce the disturbance step size near the local peak point. In order to reduce the tracking time, the algorithm uses two kinds of perturbation step. Especially in step 2 and step 3, the tracking speed is accelerated by adopting a larger disturbance step size. Finally, the effectiveness of the proposed algorithm is verified by building a model in Matlab. Simulation results show that the proposed method is faster, more accurate and more efficient than the traditional INC global method.

     

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