针对局部阴影下光伏阵列输出功率的多峰值问题,提出一种将改进粒子群算法和非奇异终端滑模控制融合的复合控制方法。首先,分析光伏阵列的数学模型及输出特性;其次,设计改进粒子群算法,减小惯性权重在算法执行过程中的影响,提高局部阴影下光伏系统的输出功率;再次,设计非奇异终端滑模切换面,以克服传统滑模的奇异问题,简化系统结构并提高稳态精度;最后,通过Matlab/Simulink平台开展仿真实验,并与现有方法进行对比,结果表明所提策略在跟踪速度、稳态功率波动等方面均表现出更优性能,可显著改善光伏系统的最大功率点跟踪效果。
Abstract
To address the multi-peak problem of photovoltaic （PV） array output power under partial shading conditions, this paper proposes a composite control method that integrates an improved particle swarm optimization （IPSO） algorithm with non-singular terminal sliding mode control （NTSMC）. First, the mathematical model and output characteristics of the PV array are analyzed. Second, an improved particle swarm optimization algorithm is designed to reduce the impact of inertia weight during execution, thereby enhancing the output power of the PV system under partial shading. Third, a non-singular terminal sliding mode switching surface is designed to overcome the singularity problem of traditional sliding mode control, simplifying the system structure and improving steady-state accuracy. Finally, simulation experiments are conducted on the Matlab/Simulink platform and compared with existing methods. The results demonstrate that the proposed strategy exhibits superior performance in terms of tracking speed and steady-state power fluctuation, significantly improving the maximum power point tracking （MPPT） effect of the PV system.
关键词
光伏阵列 /
太阳电池 /
滑模控制 /
最大功率点跟踪 /
粒子群优化算法
Key words
photovoltaic array /
solar cells /
sliding mode control /
maximum power point tracking /
particle swarm optimization /
photovoltaic power generation /
partial shading
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参考文献
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