Signal processing techniques for synchrophasors considering short‐circuit signals: a comparative study

Lacerda, Vinícius Albernaz; Barbalho, Pedro Inacio; Monaro, Renato M.; Coury, Denis Vinicius

doi:10.1049/iet-gtd.2020.0208

Cited by 2 publications

(2 citation statements)

References 66 publications

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“…Any signal processing algorithm capable of providing a reliable frequency estimation [41], [42] can be used in the proposed distance protection, such as Discrete Fourier Transform (DFT), Least Mean Squares (LMS), Wavelet transform, Stockwell transform, ESPRIT, MUSIC, among others. In this work, the LMS was used, following the first method described in [43], due to its simplicity and precision.…”

Section: Measured Variablesmentioning

confidence: 99%

Nonunit Distance Protection Algorithm for Multiterminal MMC-HVdc Systems Using DC Capacitor Resonance Frequency

Lacerda

Monaro

Alzola

et al. 2022

IEEE Trans. Ind. Electron.

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High-voltage DC (HVDC) transmission has been largely used to interconnect asynchronous systems and integrate renewable energy resources into electrical grids. However, the high short-circuit currents and low-tolerance of power electronics equipment impose new challenges for these systems' protection. To address these challenges, a new distance protection algorithm for HVDC grids with Modular Multilevel Converters (MMCs) is proposed in this paper. The proposed algorithm identifies the faulty line/cable using the resonance frequency of a DC capacitor installed in each terminal. The technique was tested in a four-terminal HVDC grid with five cables and ten circuit breakers. The algorithm was highly selective for faults in the lines and provided fast identification, in less than 1 ms, without communication amongst terminals. The algorithm was tested in hardware under high-noise conditions and provided reliable results.

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Section: Measured Variablesmentioning

confidence: 99%

Nonunit Distance Protection Algorithm for Multiterminal MMC-HVdc Systems Using DC Capacitor Resonance Frequency

Lacerda

Monaro

Alzola

et al. 2022

IEEE Trans. Ind. Electron.

Self Cite

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“…It has been shown by benchmarks in the literature, e.g. vibration analysis [24] and power system synchrophasors [25], that ESPRIT exceeded other state-of-the-art alternatives in performance metrics but at a much higher computational cost. Thus, for problems requiring real-time usage, subspace methods would benefit from fast estimations of the signal subspace.…”

Section: Introductionmentioning

confidence: 99%

FFT-ESPRIT: a kernel-based subspace estimator for frequency super-resolution at quasi-linear time complexity

Kiser¹,

Margerit²,

Rébillat³

et al. 2023

Preprint

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<p>We introduce two FFT-based ESPRIT algorithms for line spectral estimation which have lower time complexities than the original ESPRIT algorithm's O(N^3). The preferred method, named FFT-ESPRIT, can be characterized as being a kernel-based subspace estimator that achieves super-resolution at O(N log N) for frequency estimates. First, we demonstrate two estimations of the signal subspace via an integral transformation on the row space of the data matrix and the data matrix itself. The subspace-based methods are approximate in nature, and yet perturbation bounds reveal a noise regime in which FFT-ESPRIT exceeds ESPRIT's performance. We demonstrate the behavior of the algorithm across different SNR regimes and show that the estimated signal subspace is statistically efficient. Numerical simulations show that FFT-ESPRIT is more robust than the ESPRIT algorithm at the very low SNRs, and has a nearly identical performance as ESPRIT at higher SNRs.</p>

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Signal processing techniques for synchrophasors considering short‐circuit signals: a comparative study

Cited by 2 publications

References 66 publications

Nonunit Distance Protection Algorithm for Multiterminal MMC-HVdc Systems Using DC Capacitor Resonance Frequency

Nonunit Distance Protection Algorithm for Multiterminal MMC-HVdc Systems Using DC Capacitor Resonance Frequency

FFT-ESPRIT: a kernel-based subspace estimator for frequency super-resolution at quasi-linear time complexity

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