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基于PID神经网络的UPFC潮流控制方法研究
引用本文:傅仲佳,席自强,张佳,郭会鸣.基于PID神经网络的UPFC潮流控制方法研究[J].湖北工业大学学报,2012,27(1):26-29.
作者姓名:傅仲佳  席自强  张佳  郭会鸣
作者单位:湖北工业大学电气与电子工程学院,湖北武汉,430068
摘    要:建立了UPFC的数学模型,将PID神经网络控制方法应用于UPFC的潮流控制,提出了PID神经网络控制器的设计方案,仿真结果表明,UPFC采用PID神经网络控制方法以后,响应时间更快,对有功功率和无功功率的变化具有很好的追踪能力,鲁棒性良好.

关 键 词:统一潮流控制器  PID神经网络  潮流控制

The PID Neural Network-Based Power Flow Control Method for UPFC
FU Zhong-jia,XI Zi-qiang,ZHANG Jia,GUO Hui-ming.The PID Neural Network-Based Power Flow Control Method for UPFC[J].Journal of Hubei University of Technology,2012,27(1):26-29.
Authors:FU Zhong-jia  XI Zi-qiang  ZHANG Jia  GUO Hui-ming
Affiliation:(School of Electrical and Electronic Engineering, Hubei Univ. of Technology ,Wuhan ,China)
Abstract:In this paper, a mathematical model of UPFC was constructed, and the PID neural network con- trol method was used in flow control of UPFC. The paper also proposed a program on PID neural network controller, Simulation results indicated that, By using PID neural network control method, response time of UPFC is faster than before, with better tracking capability of the active power and reactive power chan- ges, and fine robustness.
Keywords:UPFC  PID neural network  power flow control
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