Improved particle swarm optimization algorithm using average model on MPPT for partial shading in PV array

Nattawat Jumpasri, Kittapas Pinsuntia, Kaweepoj Woranetsuttikul, Taywin Nilsakorn, W. Khan-ngern
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引用次数: 5

Abstract

This paper presents the maximum power point tracking (MPPT) technique to improve the system operation during shading in photo voltaic array. This technique was based on the swarm optimization algorithm using average model. The algorithm has the simple topology and accuracy calculation. The PV system composed of the PV array, the synchronous buck-boost converter which can control the output voltage with the same polarity of both source and load. The PV array operating simulation was done by the PowerSim program where the MATLAB program simulates the particle swarm optimization with average model in various partial shading. Finally, the experimental results using average model show a fast response with good agreement of that simulation.
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基于MPPT平均模型的改进粒子群优化算法用于光伏阵列局部遮阳
为改善光伏阵列遮阳时的系统运行,提出了最大功率点跟踪技术。该技术是基于平均模型的群体优化算法。该算法拓扑结构简单,计算精度高。光伏发电系统由光伏阵列、同步升压变换器组成,该变换器可以控制源、负载两极性相同的输出电压。采用PowerSim程序对光伏阵列运行进行仿真,其中MATLAB程序对不同部分遮阳条件下的平均模型粒子群优化进行仿真。最后,采用平均模型的实验结果表明,该模型的响应速度快,与仿真结果吻合较好。
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