A review on model predictive control techniques applied to hierarchical control of AC microgrids

被引：0

作者：

Vigneswaran T. ^{[1
]}

Jayapragash R. ^{[1
]}

机构：

[1] School of Electrical Engineering, Vellore Institute of Technology, Chennai

来源：

International Journal of Power and Energy Conversion | 2022年 / 13卷 / 01期

关键词：

centralised model predictive control; distributed model predictive control; hierarchical microgrid control; model predictive control; MPC;

D O I：

10.1504/ijpec.2022.125228

中图分类号：

学科分类号：

摘要：

A microgrid (MG) is an advantageous option in the integration of distributed generation and in smart grid networking solutions. MG does not implement any fixed topologies. Therefore, a sophisticated control system with a good dynamic response, easy inclusion of constraints with nonlinearities, resiliency in case of system parameter changes, and stability are required. Traditional linear cascade control does not meet the above requirements. It also requires a complex tuning mechanism for changes in the system and also lags in fast dynamic response. The present trend is to focus on finite control set model predictive control (FCS-MPC) applied to power electronics, which acts as an alternative option compared to the century-old linear cascade control strategy. In this review article, FCS-MPC is reviewed for AC MG hierarchical control. Survey of MPC control strategy on converter level, grid-level their limitations and design constraints are reviewed as well as challenges of MPC applied to hierarchical control for AC MG environment are also discussed. © 2022 Inderscience Enterprises Ltd.

引用

页码：60 / 98

页数：38

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