A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition

作者：Guo, Lei; Meng, Zhuo^*; Sun, Yize; Wang, Libiao

来源：Energy, 2018, 144: 501-514.

DOI：10.1016/j.energy.2017.12.059

• Maximum power point tracking (MPPT)
• Partially shaded condition (PSC)
• Multiply peaks
• Photovoltaic (PV) system
• Cat swarm optimization (CSO)

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.

• 出版日期2018-2-1
• 单位福建农林大学; 东华大学