Improved Maximum Power Point Tracking Algorithm for Stand-alone Photovoltaic System
Ying Li, Longyun Kang, Hongbo Zhu, Jing Sun
Abstract
Ying Li, Longyun Kang, Hongbo Zhu, Jing Sun
Abstract
The photovoltaic generator exhibits a non-linear I-V characteristic,so maximum point power tracking(MPPT) algorithm is commonly used to maximize the power drown from PV modules under varying atmospheric conditions.The output characteristics of photovoltaic module and the theory of maximum power point tracking were analyzed.Then an improved MPPT control algorithm,namely three-section variable step climbing method,was proposed to improve the tracking performance.Finally,comparative experiments between adaptive hill climbing method and three-section variable step climbing method were done.The experimental results show that the improved MPPT takes on more excellent performance.It can extract more energy from PV modules smoothly and quickly.
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The photovoltaic generator exhibits a non-linear I-V characteristic,so maximum point power tracking(MPPT) algorithm is commonly used to maximize the power drown from PV modules under varying atmospheric conditions.The output characteristics of photovoltaic module and the theory of maximum power point tracking were analyzed.Then an improved MPPT control algorithm,namely three-section variable step climbing method,was proposed to improve the tracking performance.Finally,comparative experiments between adaptive hill climbing method and three-section variable step climbing method were done.The experimental results show that the improved MPPT takes on more excellent performance.It can extract more energy from PV modules smoothly and quickly.
Key concepts: Maximum power point tracking, Photovoltaic system, Hill climbing, Maximum power principle, Control theory (sociology), Power (physics), Tracking (education), Point (geometry)