双模糊结构电力系统稳定器的设计与仿真  

Simulation and Design of Power System Stabilizer with Double-Fuzzy Structure

作　　者：田建设[1] 莫娜[1] 崔小磊[2] 

机构地区：[1]华北电力大学电气工程学院,河北保定071003 [2]北京电力公司亦庄供电局,北京100076

出　　处：《低压电器》2007年第7期30-34,共5页Low Voltage Apparatus

摘　　要：针对常规模糊电力系统稳定器(C-FPSS)的稳态性能差的缺点,提出了能在线调整量化因子的双模糊电力系统稳定器(D-FPSS)的设计方案。为简化计算、获得更快的响应速度,在Matlab的Fuzzy Logic工具箱下利用高木-关野模糊推理算法设计了双模糊结构控制器。与C-FPSS相比,单机无穷大电力系统仿真结果表明了所设计D-FPSS具有更强的适应性和鲁棒性。A double-fuzzy structure power system stabilizer（D-FPSS） was presented ,which can automatically adjust the quantitative factors on-line according to the shortcoming of bad steady state performance of the common fuzzy power system stabilizer（C-FPSS）. Double-fuzzy controller was designed by the Takagi-Sugeno fuzzy inference algorithm in the Fuzzy Logic toolbox of the Matlab in order to simplify calculations and accelerate the speed of response. Simulation of one machine infinite-bus system shows that the proposed D-FPSS can provide better robustness and adaptability compared with C-FPSS.

关 键 词：电力系统稳定器 双模糊结构 高木-关野模糊模型 推理算法 鲁棒性 

分 类 号：TM712[电气工程—电力系统及自动化] TP273.4[自动化与计算机技术—检测技术与自动化装置]