A Modular Measurement Integrity Verification for Transformer Currents with Applications in Hardware in-the-Loop Digital Twin

TL;DR

This paper introduces a recursive, adaptive Kalman filter-based method for verifying the integrity of transformer current measurements, enabling accurate reconstruction during transients for hardware-in-the-loop digital twin applications.

Contribution

It presents a novel recursive approach combining adaptive Kalman filtering and parameter validation for high-rate, accurate transformer current measurement verification in digital twin systems.

Findings

Accurately estimates transformer currents during transients

Reconstructs noiseless measurements with high fidelity

Demonstrates effectiveness through simulation results

Abstract

This paper proposes a recursive method for integrity verification of measured transformer currents, which is suitable for the modular development of Hardware-In-the-Loop Digital Twins (HIL DTs). The Differential Equations (DEs) describing transformer transients are relatively complex, requiring the use of numerical DE solvers with small time steps. This implies that replicating transformers with HIL DTs requires a continuous flow of accurate measurement samples with a high sampling rate. The proposed method utilizes the Adaptive Extended Kalman Filter to estimate the parameters of transformer currents which can be non-sinusoidal during transients such as transformer energization. Then, after evaluating the validity of estimations, the proposed method utilizes the estimated parameters to reconstruct noiseless measurements with desirable sampling rates. The performance of the proposed method is evaluated using EMTP-RV for simulating transformers and Matlab for executing the proposed method. The simulation results demonstrate that the method is able to accurately estimate and closely track the current measurements.