Sun Tao, Ge Qiang, Li Juan, et al. SLIDING MODE VARIABLE STRUCTURE CONTROL STRATEGY OF PV MPPT BASED ONI-VCHARACTERISTICS[J]. 2025, 46(3): 357-364. DOI: 10.19912/j.0254-0096.tynxb.2023-1814.
基于I-V特性的光伏MPPT滑模变结构控制策略
摘要
针对阴影遮挡下光伏发电系统中传统最大功率点跟踪(MPPT)算法易陷入局部功率峰值的问题
提出一种滑模变结构/暂态扫描复合MPPT算法。基于遮阴下太阳电池的I-V特性曲线
扫描系统开路至短路过程的瞬间功率
实时比较并得出全局功率峰值。由滑模变结构控制算法追踪全局功率峰值
可实现高跟踪速度和高控制精度的功率输出。最后
在Matlab中根据不同遮光条件进行仿真对比
并构建光伏实验平台验证相较于传统控制算法和单一滑模控制器
该复合算法未出现功率峰值误判且显著提高系统的响应速度和传输效率。
Abstract
Aiming at the problem that the traditional maximum power point tracking algorithm in photovoltaic (PV) power generation system is easy to fall into the local power peak under shading
a sliding mode variable structure/transient scanning composite MPPT algorithm is proposed. Based on the I-V characteristic curve of solar cells under shading
the instantaneous power of the system is scanned from open-circuit to short-circuit process
and the global power peak is compared and derived in real time. The global power peak is tracked by the sliding mode variable structure control algorithm
which achieves the power output with high tracking speed and high control accuracy. Finally
simulation comparisons are made in Matlab according to different shading conditions
and a photovoltaic experimental platform is constructed to verify that the composite algorithm does not misjudge the power peak and significantly improves the system's response speed and transmission efficiency compared with the traditional control algorithm and a single sliding mode controller.
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