模糊神经网络在统一潮流控制器中的应用  

Application of Fuzzy Neural Network in UPFC

作　　者：刘红燕[1] 王辉[1] 黄建新[1] 宋文娟[1] 

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《计算机仿真》2008年第10期241-244,共4页Computer Simulation

摘　　要：UPFC作为一种串联于输电线上的补偿设备,具有快速调整有功功率和无功功率的能力,为电力系统的稳定提供了强有力的手段。具体介绍了模糊神经网络的基本理论,并且将模糊神经网络控制器的理论用于UPFC的潮流控制,提出了基于模糊神经网络的统一潮流控制器的设计方案,仿真研究表明,采用模糊神经网络控制方法比传统的PI控制能得到更快的响应时间,对有功和无功的变化具有很好的追踪控制能力,是一种行之有效的控制方法。As a compensation equipment in transmission line, UPFC has the capacity of adjusting rapidly active power and reactive power, and provides powerful tool for the stability of the power system. This paper introduces specifically the basic theory of the fuzzy neural network, also uses the theory for UPFC flow control, and points out the design method of UPFC based on fuzzy neural network. Simulation studies have indicated that the fuzzy neural net-work control method has faster response than the traditional PI control, it has a good tracking control ability in controling the active power and reactive power, and is an effective control method.

关 键 词：模糊神经网络 统一潮流控制器 潮流控制 比例积分控制 

分 类 号：TP1[自动化与计算机技术—控制理论与控制工程]