{"title":"A Review on Controller Scalability for VSC-MTDC Grids: Challenges and Applications","authors":"Lokesh Garg, Sheetla Prasad","doi":"10.1080/23080477.2022.2045787","DOIUrl":null,"url":null,"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.","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2022-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Smart Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23080477.2022.2045787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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.
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