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组合爬山法与变论域模糊控制的MPPT算法 被引量:5

MPPT algorithm combined method of mountain climbing and variable universe fuzzy control
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摘要 光伏发电系统的输出功率随外界环境的改变而变化,若控制光伏列阵始终在最大功率点处工作,将能提高光伏发电效率。在传统单一的MPPT算法中,无法同时满足系统的动态性和稳态性,为此拟提出一种将爬山法与变论域模糊控制组合算法,并通过Simulink仿真分析,分别对比研究了爬山法、模糊控制法、变论域模糊控制以及组合算法跟踪光伏列阵最大功率点的输出特性。仿真结果表明:组合控制算法能快速、稳定地追踪最大功率点。 The output power of the PV system varies with changes in the external environment, if the control of photovoltaic array is always working at the maximum power point, will improve the efficiency of photovoltaic power generation. In the traditional single MPPT algorithm, the dynamic and steady state of the system can not be satisfied at the same time. Therefore, a combination algorithm of hill climbing method and variable universe fuzzy control algorithm is proposed, through MATLAB/Simulink simulation analysis, we compare the output power of the photovoltaic cell with the method of mountain climbing, fuzzy control, variable universe fuzzy control and combination algorithm. The simulation results show that the proposed algorithm can rapidly and stably track the maximum power point.
出处 《电子技术应用》 2018年第3期143-146,150,共5页 Application of Electronic Technique
基金 甘肃省教育厅高校科研项目(2015A-211)
关键词 光伏发电 MPPT 爬山法 变论域模糊控制 photovoltaic power MPPT mountain climbing variable universe fuzzy control
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