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Online Inertia Estimation Using Electromechanical Oscillation Modal Extracted from Synchronized Ambient Data

Bo Wang, Deyou Yang, Guowei Cai, Jin Ma, Zhe Chen, Lixin Wang

2022Journal of Modern Power Systems and Clean Energy23 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

InertiaModalOscillation (cell signaling)Computer scienceTracking (education)EstimationModal analysisControl theory (sociology)EngineeringArtificial intelligencePhysicsControl (management)Structural engineeringMaterials scienceFinite element methodPsychologyPedagogySystems engineeringBiologyGeneticsClassical mechanicsPolymer chemistryStructural Health Monitoring TechniquesStructural Engineering and Vibration AnalysisVibration and Dynamic Analysis