Strong-Tracking Observation of Generator Relative Rotor Angle for Transient Control of Cross-Voltage-Level Back-to-Back Converter Stations

Transient control of back-to-back (BTB) converter stations requires a generator relative-rotor-angle signal that remains responsive to post-fault swings while resisting measurement noise. Noisy rotor-angle measurements can trigger premature control actions, whereas excessive filtering can delay exit decisions. This study develops a power-corrected strong-tracking observer for generator relative rotor angle. Starting from a reduced-order relative-angle dynamic model, the observer introduces an AC-power recovery correction coefficient and an active-power measurement constraint to form a three-state observation model. A strong-tracking factor and a Huber-type innovation saturation mechanism are incorporated to retain fast post-fault tracking while suppressing strong-noise disturbances. Offline and closed-loop PSCAD simulations on a three-machine nine-bus system with a 500 MVA BTB station show that, under two-degree rotor-angle measurement noise, the proposed observer improves full-period estimation accuracy relative to a standard extended Kalman filter and a two-state strong-tracking EKF, while preserving low fault-window errors across fault durations. Closed-loop tests further show that the observer avoids premature emergency-power-control exit caused by noisy direct input and delayed exit caused by low-pass-filter lag. Under five-degree noise across ten tested random seeds, the observer reduces the observed counts of delayed exit and instability in the considered PSCAD cases, providing a real-time input for transient control of the tested BTB system.

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Publication Details

Journal
Energies
Published
2026-11-09
DOI
https://doi.org/10.3390/en19215367
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
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article

Strong-Tracking Observation of Generator Relative Rotor Angle for Transient Control of Cross-Voltage-Level Back-to-Back Converter Stations

Sun Donglei, Canran Yang, Zhenhua Yuan, Yongzhi Zhou et al.
Energies
Power System Optimization and Stability
article

Strong-Tracking Observation of Generator Relative Rotor Angle for Transient Control of Cross-Voltage-Level Back-to-Back Converter Stations

Sun Donglei, Canran Yang, Zhenhua Yuan, Yongzhi Zhou, Bin Yang, Hongli Zheng, Tong Liu
article en

Abstract

Transient control of back-to-back (BTB) converter stations requires a generator relative-rotor-angle signal that remains responsive to post-fault swings while resisting measurement noise. Noisy rotor-angle measurements can trigger premature control actions, whereas excessive filtering can delay exit decisions. This study develops a power-corrected strong-tracking observer for generator relative rotor angle. Starting from a reduced-order relative-angle dynamic model, the observer introduces an AC-power recovery correction coefficient and an active-power measurement constraint to form a three-state observation model. A strong-tracking factor and a Huber-type innovation saturation mechanism are incorporated to retain fast post-fault tracking while suppressing strong-noise disturbances. Offline and closed-loop PSCAD simulations on a three-machine nine-bus system with a 500 MVA BTB station show that, under two-degree rotor-angle measurement noise, the proposed observer improves full-period estimation accuracy relative to a standard extended Kalman filter and a two-state strong-tracking EKF, while preserving low fault-window errors across fault durations. Closed-loop tests further show that the observer avoids premature emergency-power-control exit caused by noisy direct input and delayed exit caused by low-pass-filter lag. Under five-degree noise across ten tested random seeds, the observer reduces the observed counts of delayed exit and instability in the considered PSCAD cases, providing a real-time input for transient control of the tested BTB system.

EnergiesVol. 19(21)
State Grid Shandong Electric Power Company (China) (CN), Zhejiang University (CN)
Power System Optimization and Stability
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