Dual‐Frequency Coordinated Dynamic Time‐Domain Distance Protection for Renewable Energy Transmission Lines Considering the Influence of Distributed Capacitance

Abstract Distance protection for inverter‐interfaced renewable energy transmission lines faces challenges from weak infeed characteristics and distributed capacitive currents. Existing time‐domain methods struggle to balance noise immunity with dynamic tracking capability, particularly under weak‐injection conditions where effective signals are easily submerged. To address this, a dual‐frequency synergistic dynamic distance protection scheme is proposed. By constructing a unified state‐space model that integrates power‐frequency and low‐frequency information, the proposed method leverages the high signal‐to‐noise ratio of power‐frequency components to compensate for the limitations of weak active injection. Furthermore, an adaptive Kalman filter (KF) is employed to recursively estimate fault distance and resistance, eliminating the ‘data window effect’ of static algorithms. Simulation results demonstrate superior robustness: under a 20 dB noise environment, the steady‐state error is constrained within 0.5 km; under 2% weak injection with a 300 Ω high‐resistance fault, the relative error is reduced to 1.7%. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

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Publication Details

Journal
IEEJ Transactions on Electrical and Electronic Engineering
Published
2026-06-28
DOI
https://doi.org/10.1002/tee.70355
Primary Topic
Power Systems Fault Detection
Type
article
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article

Dual‐Frequency Coordinated Dynamic Time‐Domain Distance Protection for Renewable Energy Transmission Lines Considering the Influence of Distributed Capacitance

Weijian Jiang, Yue Wang, Lei Wang, Xianda Huang
IEEJ Transactions on Electrical and Electronic Engineering
Power Systems Fault Detection
article

Dual‐Frequency Coordinated Dynamic Time‐Domain Distance Protection for Renewable Energy Transmission Lines Considering the Influence of Distributed Capacitance

Weijian Jiang, Yue Wang, Lei Wang, Xianda Huang
article en

Abstract

Abstract Distance protection for inverter‐interfaced renewable energy transmission lines faces challenges from weak infeed characteristics and distributed capacitive currents. Existing time‐domain methods struggle to balance noise immunity with dynamic tracking capability, particularly under weak‐injection conditions where effective signals are easily submerged. To address this, a dual‐frequency synergistic dynamic distance protection scheme is proposed. By constructing a unified state‐space model that integrates power‐frequency and low‐frequency information, the proposed method leverages the high signal‐to‐noise ratio of power‐frequency components to compensate for the limitations of weak active injection. Furthermore, an adaptive Kalman filter (KF) is employed to recursively estimate fault distance and resistance, eliminating the ‘data window effect’ of static algorithms. Simulation results demonstrate superior robustness: under a 20 dB noise environment, the steady‐state error is constrained within 0.5 km; under 2% weak injection with a 300 Ω high‐resistance fault, the relative error is reduced to 1.7%. © 2026 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.

IEEJ Transactions on Electrical and Electronic Engineering
Shanghai University of Electric Power (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 7%
Power Systems Fault Detection
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Dual‐Frequency Coordinated Dynamic Time‐Domain Distance Protection for Renewable Energy Transmission Lines Considering the Influence of Distributed Capacitance — Weijian Jiang, Yue Wang, et al. · IEEJ Transactions on Electrical and Electronic Engineering (2026) | TGRS Research Map | TGRS