基于人工智能方法的高压直流阻尼调制研究  

Research on HVDC Damping Modulation Based on Artificial Intelligence

作　　者：陈小龙[1] 毛晓明[1] 叶锋[1] 张艳[1] 

机构地区：[1]广东工业大学自动化学院,广州510006

出　　处：《广东电力》2008年第8期13-16,31,共5页Guangdong Electric Power

摘　　要：在对传统比例-积分(PI)控制所存在的问题进行剖析的基础上,对人工智能方法在高压直流阻尼调制中的研究现状进行了全面的综述。主要分析模糊控制以及神经网络控制在高压直流输电系统直流调制中的研究运用,指出目前各种直流输电控制策略研究所存在的问题并提出相应的解决方案。在此基础上,提出一种新型的在线神经网络自学习控制策略,并对其在直流阻尼调制中的运用前景进行了展望。This paper gives a broad overview of the research on high voltage direct current transmission （HVDC） damping modulation based on artificial intelligence method. It points out some common problems during the research on HVDC control strategy and then gives some solutions by analyzing the traditional proportional-plus-integral （PI） control, fuzzy control and artificial neural network （ANN） control that have been studied and used in HVDC damping modulation. Based on the three above-mentioned control strategies, one Meanwhile, the outlook of this new control method used new on-line self-learning ANN control strategy is proposed in HVDC damping modulation is also mentioned.

关 键 词：高压直流输电 阻尼调制 模糊控制 神经网络 

分 类 号：TM721[电气工程—电力系统及自动化]