电力系统保护与控制Issue(8)：115-120,6.
基于模糊神经网络的VSC-HVDC系统控制器的研究
Research on controller of VSC-HVDC system based on fuzzy neural network
杨伟 1章慧芸 1仲海波1
作者信息
- 1. 南京理工大学自动化学院，江苏 南京 210094
- 折叠
摘要
Abstract
The control strategy of VSC-HVDC system is studied. A new control scheme and a controller are designed to solve the deficiencies of conventional PI control that it is hard to control under a large disturbance precisely. This paper adopts double loop control, in which the inner loop controller uses PI control and the outer loop controller combines the fuzzy control and artificial neural network, and uses genetic algorithm to optimize fuzzy neural network connection weights and membership function. Simulation results of drop of rectifier active power and three-phase short circuit show that this control method’s response speed and response accuracy are significantly better than that of the traditional PI control under a large disturbance.关键词
模糊控制/人工神经网络/电压源换流器(VSC)/遗传算法/高压直流输电(HVDC)Key words
fuzzy control/artificial neutral network/voltage source converter (VSC)/genetic algorithm/high voltage direct current transmission (HVDC)分类
信息技术与安全科学引用本文复制引用
杨伟,章慧芸,仲海波..基于模糊神经网络的VSC-HVDC系统控制器的研究[J].电力系统保护与控制,2014,(8):115-120,6.
