多机电力系统模糊自适应控制  

Fuzzy adaptive control for multi-machine power system

作　　者：吴忠强[1] 姚源[1] 窦春霞[1] 

机构地区：[1]燕山大学西校区电院工业计算机控制工程河北省重点实验室,河北秦皇岛066004

出　　处：《电力系统保护与控制》2011年第10期5-10,26,共7页Power System Protection and Control

基　　金：国家自然科学基金资助项目(60874023)~~

摘　　要：发电机组的励磁控制对于提高电力系统的暂态稳定性起着至关重要的作用。针对多机电力系统励磁控制模型,设计模糊自适应控制器。考虑到电力系统的状态不可测及多变量、非线性等特点,设计状态观测器,而后根据多机电力系统互联的实际情况,运用蚁群算法的寻优功能优化模糊规则,一定程度上改善了多变量系统控制中模糊规则繁多的问题。此方法使系统在保证了良好暂态稳定性的同时,降低了控制器的设计难度。仿真结果表明所设计的控制器能够快速有效地改善系统在大干扰下的暂态稳定性。Excitation control of generator unit plays an important role to improve the transient stablity of the power system.Based on multi-machine excitation control models,a kind of fuzzy adaptive controller is designed.Considering the characteristic of the muti-machine system whose states are not available, multi-varibles, and nonlinear,a states observer is designed, then based on the practical situation of interconnected generators system the fuzzy rule is optimized by using the optimal searching function of ant colony algorithm,and the problem of large numbers of rules in multi-variable system is solved to some extent. The difficulty of designing a controller is reduced,and good trasient stability can be protected simutaneously.The simulation result shows that the controller can effectively improve power system trasient stability under big disturbance.

关 键 词：多机电力系统 模糊自适应控制 状态观测器 模糊规则 蚁群算法 

分 类 号：TM921.5[电气工程—电力电子与电力传动]