Hierarchical Control With Voltage Balancing and Energy Management for Bipolar DC Microgrid

被引：15

作者：

Kim, Sung-Hun ^{[1
]}

Byun, Hyung-Jun ^{[1
]}

Jeong, Won-Sang ^{[1
]}

Yi, Junsin ^{[1
]}

Won, Chung-Yuen ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Coll Informat & Commun Engn, Dept Elect & Comp Engn, Suwon 440746, South Korea

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2023年 / 70卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

Artificial neural network (ANN); bipolar dc microgrid (MG); droop control; hierarchical control; secondary control; voltage balancing; UNBALANCE; STRATEGY; SYSTEM;

D O I：

10.1109/TIE.2022.3210517

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Bipolar dc microgrid (MG) based on two voltage levels with three wires has higher reliability and flexibility than unipolar dc MG. However, the voltages of bipolar buses are coupled and the voltage of the PN bus affects the voltages of the bipolar buses in bipolar dc MG. In this article, a hierarchical control with voltage balancing and energy management based on the characteristics of bipolar dc MG is proposed. To perform distributed power sharing with coupled voltages, droop-based primary controls for three buses and the coupling relationships between three buses are analyzed. Furthermore, in secondary control, balancing and voltage restoration controls are proposed to compensate for voltage drops caused by the balanced and unbalanced loads. To design the proposed hierarchical control, the stability analysis is performed. Additionally, a tertiary control based on an artificial neural network is proposed for state-of-charge management of bipolar dc MG. Experimental results of the proposed hierarchical control are verified by a lab-scale bipolar dc MG and performance analysis is performed with experimental and ideal results.

引用

页码：9147 / 9157

页数：11

共 30 条

[1] Sensorless Control of DC Microgrid Based on Artificial Intelligence [J].