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Enhancing Conventional Directional Protection through Stationary Wavelet Transform in SG-IBR Integrated Networks
Dissertation

Enhancing Conventional Directional Protection through Stationary Wavelet Transform in SG-IBR Integrated Networks

AMANI A ALOMARI
Doctor of Philosophy (PHD), University of Idaho - College of Graduate Studies
08/2026

Abstract

The increasing penetration of inverter-based resources (IBRs) is challenging conventionaldirectional protection schemes that were originally developed for synchronous generator (SG)-dominated power systems. Converter current limiting, altered fault-current characteristics, and the suppression of sequence-current components can reduce the dependability of traditional phasor-based directional elements, particularly during highresistance and unbalanced fault conditions. This dissertation investigates the application of the real-time stationary wavelet transform (RT-SWT) as a fast and reliable directional protection technique for hybrid SG-IBR transmission systems. The proposed framework constructs phase-, positive-, negative-, and zero-sequence directional indicators through a wavelet-domain torque-factor formulation computed directly from scaling-coefficient energies, with the wavelet (detail) coefficients providing fast transient detection at fault inception. For the sequence-domain elements, the directional contributions of phases A, B, and C are aggregated into single total positive- and negative-sequence signals, reducing phase-dependent variation and improving the stability of the directional response. By operating directly in the wavelet domain, the method eliminates the need for full-cycle phasor estimation, enabling faster directional decisions during transient conditions while maintaining sensitivity in converter-dominated environments. The RT-SWT framework is implemented using PSCAD/EMTDC simulations with MATLAB-based COMTRADE post-processing and evaluated across 440 fault cases per system configuration, spanning different fault types, fault locations, and fault resistances in both SG-dominated and hybrid SG-IBR transmission systems, including targeted cases with negative-sequence current injection disabled and with the inverter operating at 10%, 50%, and 100% of rated output. The performance of the proposed approach is compared with conventional discrete Fourier transform (DFT)-based directional elements. Results demonstrate that the positive- and zero-sequence RT-SWT directional indicators provide the most reliable and consistent directional response across the investigated fault conditions. The positive-sequence indicator additionally enables dependable discrimination of balanced three-phase faults, for which negative-sequence information is unavailable, while the zerosequence indicator produces distinctive signatures for ground faults and maintains dependable directional performance. The negative-sequence indicator operates reliably for unbalanced faults when sufficient negative-sequence current is available, but may lose dependability under high-resistance faults or when inverter controls suppress negativesequence current injection. The phase power-factor indicator generally provides correct directional identification but exhibits reduced robustness in some high-resistance fault scenarios. Compared with conventional DFT-based directional elements, the RT-SWT approach produces smoother and more stable directional responses under transient and converter-limited conditions. While the DFT-based method can reach the directional threshold marginally earlier in some hybrid SG-IBR cases, these early crossings often occur during the transient oscillatory period; the principal advantage of the RT-SWT approach in converter-dominated systems is therefore improved directional dependability rather than raw operating speed. These simulation-validated findings indicate that RT-SWT-based directional protection is an effective directional protection technique for hybrid SG-IBR transmission networks. The positive- and zero-sequence wavelet-domain signatures provide reliable directional classification across the investigated fault conditions, while the distinctive behavior of the phase power-factor signature suggests its potential application for fault-type classification in future research.
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