Experimentally Validated Extended Kalman Filter Approach for Geomagnetically Induced Currents Measurement
Behdani, Behzad; Tajdinian, Mohsen; Allahbakhshi, Mehdi; Popov, Marjan; Shafie-khah, Miadreza; Catalao, Joao P. S. (2021-07-07)
Behdani, Behzad
Tajdinian, Mohsen
Allahbakhshi, Mehdi
Popov, Marjan
Shafie-khah, Miadreza
Catalao, Joao P. S.
IEEE
07.07.2021
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021113058007
https://urn.fi/URN:NBN:fi-fe2021113058007
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vertaisarvioitu
©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Tiivistelmä
Geomagnetically induced currents (GICs) are referred to the quasi-DC current flows in power networks, driven by complex space weather-related phenomena. Such currents are a potential threat to the power delivery capability of electrical grids. To mitigate the detrimental impacts of GICs on critical infrastructures, the GICs should be monitored in power systems. Being inherently DC from the power frequency point of view, the components of GICs are, however, challenging and costly to monitor in AC power grids. This paper puts forward a novel methodology for the real-time estimation of GICs in power transformers. Such aim is attained by means of an extended Kalman filter (EKF)-based approach, mounted on the nonlinear state-space model of the transformer, whose parameters can be derived from standard tests. The proposed EKF-based algorithm employs the available measurements for the transformer differential protection. The proposed approach, relying on the differential current, can properly deal with the external sources of interference like harmonic excitation and loading. The EKF-based estimator presented is validated by simulation and experimental data. The results verify the ability of the proposed approach to robustly estimate the GIC level during various operating conditions.
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