Parameter Adaptive Control of Virtual Synchronous Generator Based on Ant Colony Optimization Fuzzy

被引：0
|
作者：
Yao Linping [1 ]
Li Mengda [1 ]
Liang Zhichao [1 ]
Zheng Xubin [1 ]
机构：
[1] Shanghai DianJi Univ, Sch Elect Engn, Shanghai 201306, Peoples R China
来源：
ADVANCED INTELLIGENT TECHNOLOGIES FOR INDUSTRY | 2022年 / 285卷
关键词：
D O I：
10.1007/978-981-16-9735-7_34
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The introduction of virtual inertia and damping coefficient of the virtual synchronous generator effectively improves the frequency response characteristics of the system. After the microgrid is disturbed by the load, the output power of the system will overshoot and oscillate. According to the relationship between the angular frequency deviation and quotiety of vary of the synchronous generator and the virtual inertia and damping coefficient, a fuzzy controller is devised. On that basis, the ant colony algorithm is accustomed to optimize the membership function and fuzzy rules in the fuzzy control. Compared with the traditional VSG fuzzy control strategy, the ant colony optimization fuzzy strategy has smaller overshoot and oscillation, and the system recovery adjustment time is shorter, which makes the system robust. Through Matlab/Simulink simulation, comparing the traditional VSG fuzzy control and the ant colony optimization fuzzy virtual synchronous generator parameter adaptive control, the validity of the control method is verified.
引用
收藏
页码：339 / 349
页数：11
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