电力系统保护与控制2011，Vol.39Issue(10)：5-10,26,7.
多机电力系统模糊自适应控制
Fuzzy adaptive control for multi-machine power system
摘要
Abstract
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.This work is supported by National Natural Science Foundation of China (No. 60874023).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Key words
multi-machine power system/ fuzzy adaptive control/ states observer/ fuzzy rules/ ant colony algorithm分类
信息技术与安全科学引用本文复制引用
吴忠强,姚源,窦春霞..多机电力系统模糊自适应控制[J].电力系统保护与控制,2011,39(10):5-10,26,7.基金项目
国家自然科学基金资助项目(60874023) （60874023）
