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A MPPT Method based on Improved Fibonacci Search Photovoltaic Array

机译:基于改进的斐波那契搜索光伏阵列的MPPT方法

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The P-U curve of photovoltaic arrays (PVAs) has multi-peak characteristics under uneven illumination environments, and the maximum power point tracking (MPPT) strategy for the single peak may fail. An improved Fibonacci search algorithm is proposed to carry out MPPT of photovoltaic arrays under uniform illumination or light mutation. A multiple-interval search algorithm based on a circuit analysis method is presented for different topology arrays and illumination distributions. The series array analysis adopts the current analysis method, the parallel array analysis adopts the voltage analysis method, and the series and parallel array analysis adopts the current and voltage analysis method; then, the output control volume is determined, and the search interval is divided. The search steps in the Fibonacci method and the real-time changes of parameters in the optimization process can be observed by MATLAB simulation. Experimental results show that the algorithm uses less computation time and small area search instead of global search.
机译:光伏阵列(PVA)的P-U曲线在不均匀照明环境下具有多峰特征,并且单个峰值的最大功率点跟踪(MPPT)策略可能会失败。提出了一种改进的斐波那契搜索算法,以在均匀照明或光突变下对光伏阵列进行MPPT。针对不同的拓扑阵列和光照分布,提出了一种基于电路分析方法的多间隔搜索算法。串联阵列分析采用电流分析方法,并联阵列分析采用电压分析方法,串联和并联阵列分析采用电流和电压分析方法;然后,确定输出控制量,并划分搜索间隔。可以通过MATLAB仿真观察Fibonacci方法中的搜索步骤以及优化过程中参数的实时变化。实验结果表明,该算法使用了较少的计算时间和小区域搜索,而不是全局搜索。

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