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

被引：38

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

页码：65616 / 65623

页数：8

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