A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition
A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition
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DOI：
10.1016/j.energy.2017.12.059
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发表时间：
2018-02
期刊：
影响因子：
9
通讯作者：
Lei Guo;Z. Meng;Yize Sun;Libiao Wang
中科院分区：
文献类型：
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作者：
Lei Guo;Z. Meng;Yize Sun;Libiao Wang
当光伏阵列在部分遮荫条件下工作时，功率-电压曲线会出现多个峰值。这导致传统的最大功率点跟踪（MPPT）方法，如爬坡（HC）的无能为力。针对这一问题，本文提出了一种基于改进猫群优化（MCSO）的最大功率点跟踪方法，以实现全局最大功率点跟踪。为了评估该方法的性能，进行了不同的仿真和实验。该方法可以成功地跟踪不同psc下的GMPP。此外，与其他MPPT方法相比，基于MCSO的MPPT方法具有较高的跟踪精度和收敛速度。
When photovoltaic (PV) array is operated under partially shaded condition (PSC), power-voltage curve will show multiply peaks. This causes the inability of conventional maximum power point tracking (MPPT) methods such as hill climbing (HC). To deal with this problem, this paper proposes a new MPPT method based on a modified cat swarm optimization (MCSO) to achieve global maximum power point (GMPP) tracking. To assess the performance of proposed method, different simulations and experiments have been carried out. The proposed method can successfully track GMPP under different PSCs. Furthermore, MCSO based MPPT method shows a high tracking accuracy and convergence speed as compared with other MPPT methods.