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文章采用了自适应模糊控制来跟踪光伏发电系统的最大功率输出点。自适应模糊控制算法比传统的模糊控制算法对如负载跳变、太阳能电池以及外部条件的改变具有更强的适应能力,能更准确的跟踪系统的最大功率输出点。光伏发电系统由太阳能电池、交错并联磁集成Boost变换器和自适应模糊控制器组成。采用交错并联磁集成技术可以减小电感的稳态相电流纹波,提高变换器的效率,同时还能提高光伏发电系统的暂态性能。自适应模糊控制方法对外界条件的改变具有更强的适应能力。最后使用了ORCAD软件对整个系统进行了仿真,并对负载突变和太阳能电池电流改变进行了仿真。仿真结果表明了采用自适应模糊控制算法可以提高光伏发电系统的总体性能。
The article uses adaptive fuzzy control to track the maximum power output of photovoltaic power generation system. Compared with the traditional fuzzy control algorithm, the adaptive fuzzy control algorithm is more adaptive to changes such as load jumping, solar cells and external conditions, and can more accurately track the maximum power output point of the system. Photovoltaic power generation system consists of solar cells, staggered parallel magnetic integrated Boost converter and adaptive fuzzy controller. The interleaved parallel magnetic integrated technology can reduce the steady-state phase current ripple of the inductor, improve the efficiency of the converter, and improve the transient performance of the photovoltaic power generation system at the same time. Adaptive fuzzy control method has more adaptability to the changes of external conditions. Finally, the ORCAD software was used to simulate the whole system and simulate the load mutation and the change of the solar cell current. Simulation results show that using adaptive fuzzy control algorithm can improve the overall performance of photovoltaic power generation system.