【作者】 洪镇南； 盛义发； 李祖林； 阳武娇；

【Author】 Hong ZhenNan1,Sheng Yifa1,Li Zulin2,Yang Wujiao1 1.Electric Engineering School of Nanhua University,Hengyang 421001,P.R.China2.HuNan Institute of Technology,Hengyang 421001,P.R.China

【机构】 南华大学电气工程学院； 湖南工学院电气工程系；

【摘要】 对新型静止无功发生器(ASVG)采用双闭环智能控制,提出了一种外环为常规的PI控制、内环为变结构神经网络模糊控制的控制方法。在内环控制中利用被选择的观测信号作为模糊控制器的输入/输出信号,采用MATLAB中的模糊控制工具箱快速地获得初始化的模糊控制规则;应用一种变结构神经网络算法对初始化的模糊规则进行调整,提高模糊控制规则的自学习和自适应能力。仿真分析结果表明:该控制方法应用于ASVG控制系统能提高控制器的综合性能,增强对电力系统稳定性的控制。更多还原

【Abstract】 A intelligent integrated control method of double close loop is used for advanced static var generator(ASVG).The outer loop based on traditional PI control and the inner loop based on variable structure neural network fuzzy control are pre-sented.Observed signals are firstly collected to input and output signals of FLC for inner loop,and initial fuzzy rules are fast obtained by fuzzy toolbox of MATLAB;A kind of variable structure neural network algorithm is adopted to adjust fuzzy rules,and improves the ability of self-studying and self-adjusting in fuzzy control rules.The result of simulation shows:the method which is applied in ASVG controller can improve comprehensive ability of the controller and strengthen control effect to the power system.更多还原