摘要
提出了一种适用于高压直流输电系统快速灵活控制的在线模糊神经直流控制器。由于是在线控制 ,所以这种直流控制器与传统的 PI调节器和离线式神经网络控制器相比更具鲁棒性和自适应学习能力 ;与只考虑电流误差的神经网络控制器相比 ,则具有更好的动态性能。通过 NETOMAC数字仿真实验证明了该控制器对交直流系统稳定有良好的效果。
This paper describes an on-line controller for the fast and flexible control of the HVDC transmission system based on fuzzy logic and ANN. Compared with the traditional PI controller and the off-line ANN controller, this controller has better performance on robust and self-adaptive study ability. The dynamic response of the controller is quicker than that of the ANN controller when considering the current error. Simulation results acquired by using NETOMAC software show that the controller can improve the stability of HVDC system.
出处
《电力系统自动化》
EI
CSCD
北大核心
2001年第24期3-6,共4页
Automation of Electric Power Systems
基金
国家重点基础研究专项经费 (G19980 2 0 311)
关键词
模糊逻辑
人工神经网络
在线控制器
高压直流输电系统
Computer simulation
Computer software
Fuzzy sets
HVDC power transmission
Neural networks
Online systems
