Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance

Davide del Giudice and Samuele Grillo
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Davide del Giudice: Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, P.zza L. da Vinci 32, I-20133 Milano, Italy
Samuele Grillo: Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, P.zza L. da Vinci 32, I-20133 Milano, Italy

Energies, 2019, vol. 12, issue 3, 1-19

Abstract: The frequency behavior of an electric power system right after a power imbalance is determined by its inertia constant. The current shift in generation mix towards renewable energy sources is leading to a smaller and more variable inertia, thereby compromising the frequency stability of modern grids. Therefore, real-time inertia estimation methods would be beneficial for grid operators, as their situational awareness would be enhanced. This paper focuses on an inertia estimation method specifically tailored for synchronous generators, based on the extended Kalman filter (EKF). Such a method should be started at the time of disturbance, which must be estimated accurately, otherwise additional errors could be introduced in the inertia estimation process. In this paper, the sensitivity of the EKF-based inertia estimation method to the assumed time of disturbance is analyzed. It is shown that such sensitivity is influenced by the initially assumed inertia constant, the use time of the filter and by the time required for primary frequency regulation to be activated.

Keywords: inertia estimation; real-time estimation; extended Kalman filter; window-based estimation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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