基于改进灰狼优化-黄金分割混合算法的光伏阵列MPPT方法

局部遮蔽情况下,光伏阵列的P-U曲线将出现多个峰值。为了快速准确地找到全局最大功率点,提出了一种基于改进灰狼优化算法和黄金分割法的混合控制方法。首先采用改进的灰狼优化算法进行全局搜索确定全局最大功率点的大致位置,然后采用黄金分割法在前期搜索的基础上进行局部搜索。此外,还提出了一种基于类P-U曲线斜率的新型重启判别方法,以增强最大功率点追踪MPPT(maximum power point tracking)系统应对光照突变时的可靠性。最后,仿真和实验验证了该算法在多种条件下均可更加快速可靠地追踪到全局最大功率点。

Maximum Power Point Tracking Method for Photovoltaic Array Based on Modified Hybrid Method of Grey Wolf Optimization and Golden-section Optimization

Under a partial shading condition,there will be multiple peaks on the P-U curve of a photovoltaic(PV)array.To track the global maximum power point rapidly and accurately,a hybrid control method based on modified grey wolf optimization and golden-section optimization is proposed.First,the modified grey wolf optimization is used for global search,thus determining an approximate position of the global maximum power point.Then,the golden-section optimization is used for local search based on the previous search result.In addition,a novel restart judgment method based on the quasi-slope of the P-U curve is proposed to improve the reliability of maximum power point tracking(MPPT)system under a rapidly changing illumination condition.Finally,simulation and experimental resultsverified that the proposed method can track the global maximum power point under various conditions more quickly and reliably.