A Review on Controller Scalability for VSC-MTDC Grids: Challenges and Applications

IF 2.4 Q2 MULTIDISCIPLINARY SCIENCES
Lokesh Garg, Sheetla Prasad
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引用次数: 3

Abstract

ABSTRACT This paper addresses the controller design potentials, challenges, and scope of improvements, which are used to control various VSC-MTDC grids effectively even in presence of renewable energy resources. Advantages of VSC-MTDC systems are high-speed power reversal capability, asynchronous interconnection, no need of reactive power compensation, more economical and flexible, etc. Hence, the different developed control schemes are discussed and summarized in terms of scalability of VSC-MTDC grid topologies. Based on different VSC-MTDC topologies, several controllers such as conventional PI controllers, optimal controllers, robust controllers, and intelligent controllers design potentials with their limitations has been discussed in this study. In order to minimize greenhouse effect, the renewable energy plants, i.e wind farms, solar plants, tidal energy plants, etc. are also integrated to VSC-MTDC grids. Due to uncertainties in renewable energy plants, it is necessary to use robust and intelligent control strategy for the optimal power sharing among terminals and also to maintain the stability of the system. Hence, scope of improvements, design potentials, challenges, integration of renewable energy resources, and limitations based on VSC-MTDC model topologies has been discussed.
VSC-MTDC电网控制器可扩展性研究综述:挑战与应用
摘要本文论述了控制器的设计潜力、挑战和改进范围,即使在可再生能源存在的情况下,也可用于有效控制各种VSC-MTDC电网。VSC-MTDC系统的优点是具有高速功率反向能力、异步互联、无需无功补偿、更经济、更灵活等。因此,从VSC-MTTDC电网拓扑的可扩展性角度讨论和总结了不同的控制方案。基于不同的VSC-MTDC拓扑,本文讨论了几种控制器,如传统PI控制器、最优控制器、鲁棒控制器和智能控制器的设计潜力及其局限性。为了最大限度地减少温室效应,可再生能源发电厂,即风电场、太阳能发电厂、潮汐能发电厂等也被整合到VSC-MTDC电网中。由于可再生能源发电厂的不确定性,有必要使用鲁棒和智能的控制策略来实现终端之间的最优功率共享,并保持系统的稳定性。因此,讨论了基于VSC-MTDC模型拓扑的改进范围、设计潜力、挑战、可再生能源的整合和限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Science
Smart Science Engineering-Engineering (all)
CiteScore
4.70
自引率
4.30%
发文量
21
期刊介绍: Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials
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