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Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data
An ambient modal framework for inertia estimation using synchrophasor data is proposed in this letter. Specifically, an analytical formulation is developed for the estimation of inertia based on the frequency and damping ratio modes extracted from ambient data. An advantage of the proposed framework is that it can rely on synchronized ambient data under non-disturbed conditions for online estimation and tracking of inertia. Ultimately, numerical simulation studies and physical experiments demonstrate the feasibility of the proposed approach.
Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data
An ambient modal framework for inertia estimation using synchrophasor data is proposed in this letter. Specifically, an analytical formulation is developed for the estimation of inertia based on the frequency and damping ratio modes extracted from ambient data. An advantage of the proposed framework is that it can rely on synchronized ambient data under non-disturbed conditions for online estimation and tracking of inertia. Ultimately, numerical simulation studies and physical experiments demonstrate the feasibility of the proposed approach.
Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data
Bo Wang (Autor:in) / Deyou Yang (Autor:in) / Guowei Cai (Autor:in) / Jin Ma (Autor:in) / Zhe Chen (Autor:in) / Lixin Wang (Autor:in)
2022
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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