Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/12/3/483 |
| _version_ | 1811186203178827776 |
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| author | Davide del Giudice Samuele Grillo |
| author_facet | Davide del Giudice Samuele Grillo |
| author_sort | Davide del Giudice |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:41:50Z |
| format | Article |
| id | doaj.art-3db123b812b241669dd7f16803f1ff86 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-11T13:41:50Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3db123b812b241669dd7f16803f1ff862022-12-22T04:21:13ZengMDPI AGEnergies1996-10732019-02-0112348310.3390/en12030483en12030483Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of DisturbanceDavide del Giudice0Samuele Grillo1Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, P.zza L. da Vinci 32, I-20133 Milano, ItalyPolitecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, P.zza L. da Vinci 32, I-20133 Milano, ItalyThe 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.https://www.mdpi.com/1996-1073/12/3/483inertia estimationreal-time estimationextended Kalman filterwindow-based estimation |
| spellingShingle | Davide del Giudice Samuele Grillo Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance Energies inertia estimation real-time estimation extended Kalman filter window-based estimation |
| title | Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance |
| title_full | Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance |
| title_fullStr | Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance |
| title_full_unstemmed | Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance |
| title_short | Analysis of the Sensitivity of Extended Kalman Filter-Based Inertia Estimation Method to the Assumed Time of Disturbance |
| title_sort | analysis of the sensitivity of extended kalman filter based inertia estimation method to the assumed time of disturbance |
| topic | inertia estimation real-time estimation extended Kalman filter window-based estimation |
| url | https://www.mdpi.com/1996-1073/12/3/483 |
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