{"title":"A Realigned Instantaneous Frequency Approach for SSCI Oscillation Localization in Power Networks","authors":"Taimur Zaman;Mazheruddin Syed;Zhiwang Feng;Graeme Burt","doi":"10.1109/TPWRS.2024.3474177","DOIUrl":null,"url":null,"abstract":"The detection and localization of the grid oscillations stemming from subsynchronous control interactions (SSCI) presents notable challenges. These include the limited reporting rate of Phasor Measurement Units, spectral leakage, and picket fence effects, which inadvertently misreport the amplitude and frequency of modes constituting these complex oscillations. To accurately detect the oscillations and localize the participating sources, a systematic approach employing synchro-waveforms is proposed. Firstly, the modes of oscillations are extracted using a time-frequency transformation, where, a realigned instantaneous frequency-based synchro transform is developed to address noise and time-varying constraints. This is further improved by employing an adaptive window which improves the energy concentration to retain the reconstruction of modes for strongly time-varying signals with significant noise. A decoupled admittance model is then extracted from the modes obtained at varying operating conditions. Consequently, a global admittance matrix is constructed identifying the active/reactive source of complex oscillation in the network. The efficacy and robustness of the proposed method against the state-of-the-art are proven by employing numerical simulations on sample networks and real-world data obtained from networks experiencing SSCI oscillations.","PeriodicalId":13373,"journal":{"name":"IEEE Transactions on Power Systems","volume":"40 3","pages":"2217-2229"},"PeriodicalIF":7.2000,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Power Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10705040/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
The detection and localization of the grid oscillations stemming from subsynchronous control interactions (SSCI) presents notable challenges. These include the limited reporting rate of Phasor Measurement Units, spectral leakage, and picket fence effects, which inadvertently misreport the amplitude and frequency of modes constituting these complex oscillations. To accurately detect the oscillations and localize the participating sources, a systematic approach employing synchro-waveforms is proposed. Firstly, the modes of oscillations are extracted using a time-frequency transformation, where, a realigned instantaneous frequency-based synchro transform is developed to address noise and time-varying constraints. This is further improved by employing an adaptive window which improves the energy concentration to retain the reconstruction of modes for strongly time-varying signals with significant noise. A decoupled admittance model is then extracted from the modes obtained at varying operating conditions. Consequently, a global admittance matrix is constructed identifying the active/reactive source of complex oscillation in the network. The efficacy and robustness of the proposed method against the state-of-the-art are proven by employing numerical simulations on sample networks and real-world data obtained from networks experiencing SSCI oscillations.
期刊介绍:
The scope of IEEE Transactions on Power Systems covers the education, analysis, operation, planning, and economics of electric generation, transmission, and distribution systems for general industrial, commercial, public, and domestic consumption, including the interaction with multi-energy carriers. The focus of this transactions is the power system from a systems viewpoint instead of components of the system. It has five (5) key areas within its scope with several technical topics within each area. These areas are: (1) Power Engineering Education, (2) Power System Analysis, Computing, and Economics, (3) Power System Dynamic Performance, (4) Power System Operations, and (5) Power System Planning and Implementation.