电测与仪表2017，Vol.54Issue(2)：46-51,67,7.
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 generation system based on fuzzy-neural networks
陆畅 1智勇军 1周志锋1
作者信息
- 1. 国网河南省电力公司平顶山供电公司,河南平顶山467001
- 折叠
摘要
Abstract
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 generation systems under grid fault conditions,a new power control strategy based on fuzzy-neural networks (FNN) has been proposed for the PV generation systems.The operation modes can be flexibly adjusted to adapt abrupt changes and voltage sag of grid voltage,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 overall controller architecture and the operation modes are presented,and the mathematical model and the flow-chart of the fuzzy-neural network algorithm are given in detail.Finally,the system simulation model is established by using Matlab/Simulink,and the effectiveness of the presented control strategy for PV system has been confirmed by the simulation results.关键词
光伏发电/模糊神经网络/故障穿越/功率控制Key words
PV generation/fuzzy-neural networks/fault ride-through/power control分类
信息技术与安全科学引用本文复制引用
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):46-51,67,7.
