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基于单神经元自适应PID的光伏发电MPPT
Single-neuron Adaptive PID Control in MPPT of Photovoltaic Generation
【摘要】 光伏电池的输出特性随着外部环境和负载的变化而变化,具有非线性特性。为了充分利用光伏电池,需对其进行最大功率点跟踪。利用Boost电路提升光伏电池输出电压,提出了单神经元自适应PID的控制方法来实现对其进行最大功率点跟踪。通过对目前常用光伏并网模糊控制和单神经元自适应PID控制两种方法的比较,在Matlab/Simulink的环境下进行了仿真研究。研究结果证明了使用单神经元自适应PID控制的优越性。
【Abstract】 The output characteristic of photovoltaic(PV)cells changes with the environment and load,and the PVcells can be treated as a non-linear mathematical model. In order to fully use PV cells,it is necessary to track the maxi-mum power point. Boost converter is used to improve the output voltage of PV cells,and a single-neuron adaptive PIDcontrol is proposed to realize the maximum power point tracking(MPPT). Through the comparison between the tradi-tional fuzzy control and single-neuron adaptive PID control,a simulation is conducted in Matlab/Simulink environment,showing the advantages of single-neuron adaptive PID control.
【Key words】 photovoltaic cell; maximum power point tracking; Boost circuit; single-neuron; single-neuron adaptive PID control;
- 【文献出处】 电力系统及其自动化学报 ,Proceedings of the CSU-EPSA , 编辑部邮箱 ,2017年02期
- 【分类号】TM615
- 【被引频次】23
- 【下载频次】297