摘要
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。
This paper uses adaptive fuzzy control to track the maximum high output power point of （PV） system. Compared with traditional fuzzy algorithm, adaptive fuzzy control algorithm has stronger ability of adaptation in such situations as load jumping change, the change of solar cells and external conditions, and can track maximum power point more accurately. Photovoltaic power generation system is composed of solar cells, interleaved magnetic Boost converter, and adaptive fuzzy controller. The interleaved magnetic technology can reduce the steady-state channel ripple current of the inductance, improve the efficiency of the converter, but also can improve （PV） power system＇s transient performance. Adaptive fuzzy control method has stronger adaption ability on the variation of outside conditions. Finally, the ORCAD software is used to simulate the whole system, and the load mutations and solar cells＇ current change are simulated. The simulation results show that the adaptive fuzzy control algorithm can improve the overall performance of the （PV） power system.
出处
《电子技术（上海）》
2012年第12期71-75,42,共6页
Electronic Technology
关键词
光伏发电系统
交错并联磁集成
BOOST电路
最大功率点跟踪
自适应模糊控制
photovoltaic system
interleaved magnetic
Boost DC-DC converter
maximum power point tracking （MPPT）
adaptive fuzzy logic control （AFLC）
