4.7 Review

Modeling, Control, and Protection of Modular Multilevel Converter-based Multi-terminal HVDC Systems: A Review

期刊

CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
卷 3, 期 4, 页码 340-352

出版社

CHINA ELECTRIC POWER RESEARCH INST
DOI: 10.17775/CSEEJPES.2017.00440

关键词

DC circuit breaker (CB); DC-fault blocking; DC voltage droop control; detailed switching model; embedded HVDC; equivalent circuit model; high-voltage direct current (HVDC); meshed DC grids; modeling of MMC-MTDC; modular multilevel converter (MMC); multi-terminal direct current (MTDC); power oscillation damping

资金

  1. SGCC Science and Technology Program under project Research on Electromagnetic Transient Simulation Technology for Large-scale MMC-HVDC Systems

向作者/读者索取更多资源

Multi-terminal direct current (MTDC) grids provide the possibility of meshed interconnections between regional power systems and various renewable energy resources to boost supply reliability and economy. The modular multilevel converter (MMC) has become the basic building block for MTDC and DC grids due to its salient features, i.e., modularity and scalability. Therefore, the MMC-based MTDC systems should be pervasively embedded into the present power system to improve system performance. However, several technical challenges hamper their practical applications and deployment, including modeling, control, and protection of the MMC-MTDC grids. This paper presents a comprehensive investigation and reference in modeling, control, and protection of the MMC-MTDC grids. A general overview of state-of-the-art modeling techniques of the MMC along with their performance in simulation analysis for MTDC applications is provided. A review of control strategies of the MMC-MTDC grids which provide AC system support is presented. State-of-the art protection techniques of the MMC-MTDC systems are also investigated. Finally, the associated research challenges and trends are highlighted.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据