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作 者:Yang Wang Hanlu Yang Xiaorong Xie Xiaomei Yang Guanrun Chen
机构地区:[1]College of Electrical Engineering,Sichuan University,Chengdu,China [2]Department of Electrical Engineering,Tsinghua University,Beijing,China
出 处:《Journal of Modern Power Systems and Clean Energy》2023年第3期816-826,共11页现代电力系统与清洁能源学报(英文)
基 金:supported in part by the National Natural Science Foundation of China(No.51907133);in part by the Fundamental Research Funds for the Central Universities(No.YJ201911).
摘 要:In recent years,subsynchronous control interaction(SSCI)has frequently taken place in renewable-connected power systems.To counter this issue,utilities have been seeking tools for fast and accurate identification of SSCI events.The main challenges of SSCI monitoring are the time-varying nature and uncertain modes of SSCI events.Accordingly,this paper presents a simple but effective method that takes advantage of intrinsic time-scale decomposition(ITD).The main purpose is to improve the accuracy and robustness of ITD by incorporating the least-squares method.Results show that the proposed method strikes a good balance between dynamic performance and estimation accuracy.More importantly,the method does not require any prior information,and its performance is therefore not affected by the frequency constitution of the SSCI.Comprehensive comparative studies are conducted to demonstrate the usefulness of the method through synthetic signals,electromagnetic temporary program(EMTP)simulations,and field-recorded SSCI data.Finally,real-time simulation tests are conducted to show the feasibility of the method for real-time monitoring.
关 键 词:Subsynchronous control interaction(SSCI) intrinsic time-scale decomposition(ITD) wind power system realtime monitoring
分 类 号:TM614[电气工程—电力系统及自动化]
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