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。
The output characteristic of photovoltaic （PV） cells changes with the environment and load, and the PV cells can be treated as a non-linear mathematical model. In order to fully use PV cells, it is necessary to track the maximum power point. Boost converter is used to improve the output voltage of PV cells, and a single-neuron adaptive PID control is proposed to realize the maximum power point tracking （MPPT）. Through the comparison between the traditional 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.
作者
沈赋
尹斌
孙维广
SHEN Fu YIN Bin SUN Weiguang(College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China)
出处
《电力系统及其自动化学报》
CSCD
北大核心
2017年第2期89-95,共7页
Proceedings of the CSU-EPSA
