陆畅,智勇军,周志锋.基于模糊神经网络的光伏发电系统功率控制方法[J].电测与仪表,2017,54(2):. Lu Chang,Zhi YongJun,Zhou ZhiFeng.Power Control Strategies for PV Power System using Fuzzy-Neural Networks[J].Electrical Measurement & Instrumentation,2017,54(2):.
基于模糊神经网络的光伏发电系统功率控制方法
Power Control Strategies for PV Power System using Fuzzy-Neural Networks
Fault ride-through (FRT) techniques are crucial for the large-scale grid-integration and flexible control of the grid- connected PV generation systems. In order to overcome the drawbacks of conventional FRT solutions for the PV systems under grid fault conditions, a new power control strategy based on fuzzy-neural networks (FNN) has been proposed for the PV systems. The operation modes can be flexibly adjusted to adapt grid voltage abrupt changes and voltage sag, thus the maximum output power of PV panels and maximum inverter power rating and current rating can be taken into consideration. The benefits of enhanced stability characteristics and tracking performance can be achieved. The controller architecture and the operation modes are presented, and the mathematical model and the flow- chart of the fuzzy-neural network algorithm are given. Finally, the system model is established using Matlab/Simulink, and the effectiveness of the presented control strategy for PV system has been confirmed by the simulation results.
