Experimentally Validated Extended Kalman Filter Approach for Geomagnetically Induced Current Measurement
نویسندگان
چکیده
Geomagnetically induced currents (GICs) are referred to as the quasi-dc current flows in power networks, driven by complex space weather-related phenomena. Such a potential threat delivery capability of electrical grids. To mitigate detrimental impacts GICs on critical infrastructures, should be monitored systems. Being inherently dc from frequency point view, components are, however, challenging and costly monitor ac This article puts forward novel methodology for real-time estimation transformers. aim is attained means an extended Kalman filter (EKF)-based approach, mounted nonlinear state-space model transformer, whose parameters can derived standard tests. The proposed EKF-based algorithm employs available measurements transformer differential protection. relying current, properly deal with external sources interference like harmonic excitation loading. estimator presented validated simulation experimental data. results verify ability approach robustly estimate GIC level during various operating conditions.
منابع مشابه
The Particle Filter and Extended Kalman Filter methods for the structural system identification considering various uncertainties
Structural system identification using recursive methods has been a research direction of increasing interest in recent decades. The two prominent methods, including the Extended Kalman Filter (EKF) and the Particle Filter (PF), also known as the Sequential Monte Carlo (SMC), are advantageous in this field. In this study, the system identification of a shake table test of a 4-story steel struct...
متن کاملExtended Kalman Filter Tutorial
In the following we assume that the random vector wk captures uncertainties in the model and vk denotes the measurement noise. Both are temporally uncorrelated (white noise), zero-mean random sequences with known covariances and both of them are uncorrelated with the initial state x0. E[wk] = 0 E[wkw T k ] = Qk E[wkw T j ] = 0 for k 6= j E[wkx T 0 ] = 0 for all k (3) E[vk] = 0 E[vkv T k ] = Rk ...
متن کاملMobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
متن کاملMonetary Policy Reaction Functions in Iran: An Extended Kalman Filter Approach
Estimates of instrumental rules can be utilized to describe central bank's behavior and monetary policy stance. In the last decade, considerable attention has been given to time-varying parameter (TVP) specification of monetary policy rules. Constant-parameter reaction functions likely ignore the impact of model uncertainty, shifting preferences and nonlinearities of policymaker's choices. This...
متن کاملUltrasonic-Based Distance Measurement Through Discrete Extended Kalman Filter
Ultrasonic-based measurements are extensively used both in research and production field, spanning in endless applications: environment sensing of autonomous mobile robots, high definition imaging of biomedical devices, precise location of micro-flaws in materials, accurate estimation of the level of flammable fluids or dangerous rivers, and so on. The reason of this success mainly relies upon ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Industrial Electronics
سال: 2022
ISSN: ['1557-9948', '0278-0046']
DOI: https://doi.org/10.1109/tie.2021.3094488