{"title":"An improved prediction method of subsequent commutation failure of an LCC-HVDC considering sequential control response","authors":"Jinxin Ouyang, Xinyu Pan, Junjun Ye, Chao Xiao, Yanbo Diao, Qingwu Zhang","doi":"10.1186/s41601-023-00323-9","DOIUrl":null,"url":null,"abstract":"Abstract Subsequent commutation failure (SCF) can be easily generated during the first commutation failure (CF) recovery process in a line-commutated converter-based high voltage direct-current system. SCF poses a significant threat to the safe and stable operation of power systems, and accurate prediction of CF is thus important. However, SCF is affected by the operating characteristics of the main circuit and the coupling effects of sequential control response in the inverter station. These are difficult to predict accurately. In this paper, a new SCF prediction method considering the control response is proposed based on the physical principle of SCF. The time sequence and switching conditions of the controllers at different stages of the first CF recovery process are described, and the corresponding equations of commutation voltage affected by different controllers are derived. The calculation method of the SCF threshold voltage is proposed, and the prediction method is established. Simulations show that the proposed method can predict SCF accurately and provide useful tools to suppress SCF.","PeriodicalId":51639,"journal":{"name":"Protection and Control of Modern Power Systems","volume":"27 1","pages":"0"},"PeriodicalIF":8.7000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Protection and Control of Modern Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s41601-023-00323-9","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Subsequent commutation failure (SCF) can be easily generated during the first commutation failure (CF) recovery process in a line-commutated converter-based high voltage direct-current system. SCF poses a significant threat to the safe and stable operation of power systems, and accurate prediction of CF is thus important. However, SCF is affected by the operating characteristics of the main circuit and the coupling effects of sequential control response in the inverter station. These are difficult to predict accurately. In this paper, a new SCF prediction method considering the control response is proposed based on the physical principle of SCF. The time sequence and switching conditions of the controllers at different stages of the first CF recovery process are described, and the corresponding equations of commutation voltage affected by different controllers are derived. The calculation method of the SCF threshold voltage is proposed, and the prediction method is established. Simulations show that the proposed method can predict SCF accurately and provide useful tools to suppress SCF.
期刊介绍:
Protection and Control of Modern Power Systems (PCMP) is the first international modern power system protection and control journal originated in China. The journal is dedicated to presenting top-level academic achievements in this field and aims to provide a platform for international researchers and engineers, with a special focus on authors from China, to maximize the papers' impact worldwide and contribute to the development of the power industry. PCMP is sponsored by Xuchang Ketop Electrical Research Institute and is edited and published by Power System Protection and Control Press.
PCMP focuses on advanced views, techniques, methodologies, and experience in the field of protection and control of modern power systems to showcase the latest technological achievements. However, it is important to note that the journal will cease to be published by SpringerOpen as of 31 December 2023. Nonetheless, it will continue in cooperation with a new publisher.