电力系统自动化2018，Vol.42Issue(5)：25-33,9.DOI:10.7500/AEPS20170724005
基于云层分布规律与太阳光跟踪的光伏电站MPPT策略
MPPT Strategy of Photovoltaic Station Based on Cloud Distribution Pattern and Sunlight Tracking
摘要
Abstract
Considering external factors such as sunlight and so on are not considered or just qualitatively analysed by the maximum power point tracking(MPPT)method in current photovoltaic(PV)system,a MPPT strategy of large-scale PV station based on cloud distribution pattern and sunlight tracking is proposed.Firstly,the scattering,refraction and shadowing effect of sunlight caused by the cloud are analyzed.The confidence guiding radius model of sunlight tracking device(called detecting ball)is proposed and the layout model is optimized in PV plant considering the region cloud distribution pattern. Secondly,the adaptive partitioning method of sunlight intensity based on output power difference of PV panels is presented and the attitude adjustment model of PV panel is established based on the relative position between PV panel and detecting ball. Finally,the maximum power point of PV panel is obtained by using the particle swarm optimization algorithm and MPPT of PV plant is realized.An example of PV station in Northwest China is used to verify the correctness of the proposed strategy.关键词
最大功率点跟踪/云层分布规律/太阳光跟踪/光照强度自适应划分/遗传算法Key words
maximum power point tracking(MPPT)/cloud distribution pattern/sunlight tracing/adaptive sunlight intensity partitioning/genetic algorithm引用本文复制引用
陶仁峰,李凤婷,李永东,付林,辛超山..基于云层分布规律与太阳光跟踪的光伏电站MPPT策略[J].电力系统自动化,2018,42(5):25-33,9.基金项目
新疆维吾尔自治区自然科学基金资助项目(2016D01C036).This work is supported by Xinjiang Uygur Autonomous Region Natural Science Foundation of China(No.2016D01C036). （2016D01C036）
