光伏发电系统中光伏电池的输出特性易受环境因素的影响,使光伏电池不能以最大功率输出,影响系统的发电效率,因此采用最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术来保证光伏发电系统的输出效率和稳定性。该文提出了一种基于...光伏发电系统中光伏电池的输出特性易受环境因素的影响,使光伏电池不能以最大功率输出,影响系统的发电效率,因此采用最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术来保证光伏发电系统的输出效率和稳定性。该文提出了一种基于模糊最优梯度法的光伏MPPT控制策略,当系统功率距离最大功率点较远时,利用最优梯度法进行跟踪,当达到最大功率点附近时,利用模糊控制算法进行跟踪。在MATLAB/Simulink中搭建仿真模型,仿真结果表明:基于模糊最优梯度法的光伏MPPT控制策略在外界环境变化时能快速有效地进行最大功率跟踪。展开更多
In order to reduce chattering phenomenon of variable structure control, a fuzzy variable structure control method is adopted and applied in the photovoitaic maximum power point tracking （MPPT） control system. Firstl...In order to reduce chattering phenomenon of variable structure control, a fuzzy variable structure control method is adopted and applied in the photovoitaic maximum power point tracking （MPPT） control system. Firstly, the electric features of PV cells and a dynamic model of photovoitaic system with a DGDC buck converter are analysed. Then a hybrid fuzzy variable structure controller is designed. The controller is composed of a fuzzy variable structure control term and a supervisory control term. The former is the main part of the controller and the latter is used to ensure the stability of the system. Finally, the conventional variable structure control method and the fuzzy variable structure control method are applied respectively. The comparing of simulation results shows the superiority of the latter.展开更多
文摘光伏发电系统中光伏电池的输出特性易受环境因素的影响,使光伏电池不能以最大功率输出,影响系统的发电效率,因此采用最大功率点跟踪(Maximum Power Point Tracking,MPPT)技术来保证光伏发电系统的输出效率和稳定性。该文提出了一种基于模糊最优梯度法的光伏MPPT控制策略,当系统功率距离最大功率点较远时,利用最优梯度法进行跟踪,当达到最大功率点附近时,利用模糊控制算法进行跟踪。在MATLAB/Simulink中搭建仿真模型,仿真结果表明:基于模糊最优梯度法的光伏MPPT控制策略在外界环境变化时能快速有效地进行最大功率跟踪。
基金Supported by"863"National Hi-tech Project of China(No.2003AA517020)
文摘In order to reduce chattering phenomenon of variable structure control, a fuzzy variable structure control method is adopted and applied in the photovoitaic maximum power point tracking （MPPT） control system. Firstly, the electric features of PV cells and a dynamic model of photovoitaic system with a DGDC buck converter are analysed. Then a hybrid fuzzy variable structure controller is designed. The controller is composed of a fuzzy variable structure control term and a supervisory control term. The former is the main part of the controller and the latter is used to ensure the stability of the system. Finally, the conventional variable structure control method and the fuzzy variable structure control method are applied respectively. The comparing of simulation results shows the superiority of the latter.
