摘要
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。
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.
作者
石季英
张登雨
薛飞
凌乐陶
SHI Jiying;ZHANG Dengyu;XUE Fei;LING Letao(School of Electrical and Information Engineering,Tianjin University,Tianjin 300072,China;Electric Power Research Institute,State Grid Ningxia Electric Power Co.,Ltd,Yinchuan 750002,China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2019年第5期21-26,共6页
Proceedings of the CSU-EPSA
基金
国家重点研究发展计划资助项目(2017YFB0903000)
国家自然科学基金资助项目(61571324)
天津市自然科学基金资助重点项目(16JCZDJC30900)
国际科技合作专项资助项目(2013DFA11040)
关键词
最大功率点追踪
灰狼优化
黄金分割
局部遮蔽
重启判别方法
maximum power point tracking(MPPT)
grey wolf optimization
golden-section optimization
partial shading condition
restart judgment method
