The Role of Model Predictive Control in Microgrid Power Quality - A Survey

被引：0

作者：

Babayomi, Oluleke ^{[1
]}

Li, Zhen ^{[1
]}

Zhang, Zhenbin ^{[1
]}

Sun, Yuanxiang ^{[1
]}

Dragicevic, Tomislav ^{[2
]}

Rodriguez, Jose ^{[3
]}

机构：

[1] Shandong Univ, Sch Elect Engn, Jinan 250061, Peoples R China

[2] Tech Univ Denmark, Ctr Elect Power & Energy, DK-2800 Lyngby, Denmark

[3] Univ Andres Bello, Fac Ingn, Santiago 8370146, Chile

来源：

2020 IEEE 11TH INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS FOR DISTRIBUTED GENERATION SYSTEMS (PEDG) | 2020年

基金：

中国国家自然科学基金;

关键词：

Microgrid; Model predictive control; Power quality; Voltage harmonics; Current distortion; Voltage unbalance; Power ripples; OPERATION; INVERTERS;

D O I：

10.1109/pedg48541.2020.9244364

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Modern microgrids (MGs) are designed with a high penetration of renewable energy sources that are interfaced with power converters. This feature, as well as the large number of nonlinear loads, deteriorates the power quality of the system. Therefore, effective control methods to ameliorate this challenge are essential. Existing linear control techniques for power quality in MGs are faced with a consistent challenge of control of power quality at the expense of accurate sharing of load current harmonics. Model predictive control (MPC) offers advantages of multi-variable control with fast and robust dynamic response. This paper is a survey of the MPC-based control techniques for voltage unbalances and current harmonics in MGs. The study shows that MPC can simultaneously satisfy multiple stringent requirements for voltage balance and harmonics; it is also more intuitive to implement than classical control techniques.

引用

页码：340 / 345

页数：6

共 32 条

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