模糊神经网络在能量缓冲统一潮流控制器中应用的研究.PDF

第23 卷 第 10 期 中 国 电 机 工 程 学 报 Vol.23 No. 10 Oct. 2003 2003 年 10 月 Proceedings of the CSEE ©2003 Chin.Soc.for Elec.Eng. 文章编号：0258-8013 (2003) 10-0083-06 中图分类号：TM714； TM132 文献标识码：A 学科分类号：4704054 模糊神经网络在能量缓冲统一潮流 控制器中应用的研究 李浩昱，吴建强 （哈尔滨工业大学电气工程系，黑龙江哈尔滨 150001） STUDY ON UPFC WITH ENERGY SNUBBER AND ITS FUZZY NEURAL NETWORK CONTROL LI Hao-yu, WU Jian-qiang （Harbin Institute of Technology, Department of Electrical Engineering, Harbin 150001, China ） ABSTRACT: Unified Power Flow Controller (UPFC) is the 运行模式下的UPFC 正确工作，最后通过仿真证实了该方法 most representative FACTS device, which has the functions of 的可靠性。 series and shunt compensation. The energy snubber can be used 关键词：电力系统；统一潮流控制器；能量缓冲器；模糊神 to control the real power’s distributing, too. It is presented to control UPFC and its energy snubber by using the Fuzzy 经网络；遗传算法 Neural Network (FNN). At the same time, because of the 1 引言 genetic algorithm’s robust and self-adaptability, it is adopted as the learning algorithm of fuzzy neural network (Genetic 随着电力电子技术的快速发展及电力系统中 Algorithm and Least-Square technique are introduced in 应用大功率半导体器件种类的快速增多，使得柔性 making the network structure for the membership function and doing the defuzzification, respectively). The FNN control 交流输电系统（Flexible AC Transmission System, [1] method is differ from the traditional control theory because it FACTS）、电力系统振荡衰减技术 等得到迅速的发 has the