Distributed Secondary Voltage Control of Islanded Microgrids Based on RBF-Neural-Network Sliding-Mode Technique

被引：35
|
作者：
Shen, Xueqiang [1 ]
Wang, Haiqing [1 ]
Li, Jian [1 ]
Su, Qingyu [1 ]
Gao, Lan [1 ]
机构：
[1] Northeast Elect Power Univ, Sch Automat Engn, Jilin 132012, Jilin, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
Islanded microgrids; secondary voltage control; distributed; RBF-neural-network sliding-mode control; INVERTER-BASED MICROGRIDS; FREQUENCY CONTROL; STABILITY; SYSTEMS;
D O I：
10.1109/ACCESS.2019.2915509
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The secondary voltage control problem of inverter-based islanded microgrid (MG) is proposed in this paper. First, the dynamics of the distributed generation (DG) with primary control is analyzed and modeled. Then, an RBF-neural-network (RBF-NN) sliding-mode controller is designed to eliminate the voltage deviation caused by primary control. The output voltage of all DGs can restore to a reference value and remains stable. Finally, taking an MG consisting of four DGs as an example, the experimental results validate the designed secondary control strategy.
引用
收藏
页码：65616 / 65623
页数：8
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