电测与仪表2016，Vol.53Issue(20)：26-30,5.
基于人工鱼群算法的光伏阵列多峰MPPT控制策略
MPPT of PV array control strategy based onartificial fish school algorithm
摘要
Abstract
The PV array is characterized by multiple maximumpoints , measurement noise and time-varying nonlinear under the complex environments .Artificial fish school algorithm ( AFSA) has the ability of overcoming local minimum pointsand obtainingthe global best ,it’s very suitable for solving the optimization problem of nonlinear and multi-extre-mum functions.In this paper, the PV arrayoutput characteristics under complex environments has been analyzed , a kind of maximum power point tracking ( MPPT) strategy based on AFSAcombined withrecursive least squares filtering has been proposed to overcome themeasurement noise effects and improve the tracking accuracy .Simulation results show that the proposed MPPT strategy can suppress the influence of measurement noise effectivelywhichverifies the ef -fectiveness ofthe proposed MPPT strategy .关键词
复杂应用环境/光伏系统/最大功率点跟踪/人工鱼群算法Key words
complex environments/PV system/maximum power point tracking/artificial fish school algorithm分类
信息技术与安全科学引用本文复制引用
聂晓华,赖家俊..基于人工鱼群算法的光伏阵列多峰MPPT控制策略[J].电测与仪表,2016,53(20):26-30,5.基金项目
国家自然科学基金资助项目 （）
