Academic Journal

Data-Driven Interarea Oscillation Analysis for a 100% IBR-Penetrated Power Grid

التفاصيل البيبلوغرافية
العنوان: Data-Driven Interarea Oscillation Analysis for a 100% IBR-Penetrated Power Grid
المؤلفون: Miao Zhang, Zhixin Miao, Lingling Fan, Shahil Shah
المصدر: IEEE Open Access Journal of Power and Energy, Vol 10, Pp 93-103 (2023)
بيانات النشر: IEEE, 2023.
سنة النشر: 2023
المجموعة: LCC:Production of electric energy or power. Powerplants. Central stations
مصطلحات موضوعية: Inverter-based resources, admittance model, modal analysis, oscillations, Distribution or transmission of electric power, TK3001-3521, Production of electric energy or power. Powerplants. Central stations, TK1001-1841
الوصف: In this research, a 100% inverter-based resource (IBR)-penetrated bulk power system (BPS) is examined for possible interarea oscillations. A testbed of a BPS constructed in PSCAD, with both grid-forming inverter (GFM)-based IBRs and grid-following inverter (GFL)-based IBRs, is utilized for simulation. For linear analysis, a data-driven method is used to obtain the $dq$ admittance models of the IBRs. This information, combined with our knowledge of the network admittance, leads to eigenvalue analysis of the power grid. Furthermore, for the dominant 3-Hz mode, extended frequency-domain mode shape analysis, along with subgroup effect analysis, and network decomposition analysis are conducted. The analysis results can precisely tell the influencing factors of the oscillation mode. This mode is identified as an interarea oscillation mode. It has a different characteristics compared to the traditional electromechanical interarea mode. Specifically, the network decomposition analysis provides new insights on interarea oscillation modes. The analysis results are all confirmed by the electromagnetic transient (EMT) simulation results.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2687-7910
Relation: https://ieeexplore.ieee.org/document/9989426/; https://doaj.org/toc/2687-7910
DOI: 10.1109/OAJPE.2022.3230007
URL الوصول: https://doaj.org/article/8bf2220e39124205a10d0cc2ea4bb05c
رقم الانضمام: edsdoj.8bf2220e39124205a10d0cc2ea4bb05c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26877910
DOI:10.1109/OAJPE.2022.3230007