An embedded impedance measurement for DC microgrids based on a Lock-In Amplifier

Paz, Francisco; Ordonez, Martin

doi:10.1109/pedg.2016.7527088

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…The technique shown in [19] by Paz and Ordonez is particularly interesting as it uses a lock-in amplifier [20] combined with the heavy filtering properties of the moving average filter (MAF) [21]. This technique has been successfully used in land-based DC microgrid [19], [22]- [25] and solar applications [26], [27] but never in IT grounding for aircraft. Considerations on its relation to the sliding discrete Fourier Transform (SDFT) were not explained in these references.…”

Section: Introductionmentioning

confidence: 99%

First-Fault Detection in DC Distribution With IT Grounding Based on Sliding Discrete Fourier-Transform

Peña-Alzola

Sztykiel

Jones

et al. 2021

IEEE Trans. Power Electron.

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Dc distribution minimises the number of power conversion stages and hence it lowers the overall cost, power losses and weight of a power system. Critical systems use IT grounding because it is tolerant to the first-fault. Hence, this is an attractive option for hybrid electric aircraft (HEA), which combines gas engines with electric motors driven by power electronic converters. This letter proposes an accurate implementation for the procedure of first-fault detection with IT grounding. Ac component injection along with the Sliding Discrete Fourier Transform (SDFT) is used to estimate the fault impedance. The procedure is very accurate due to the heavy filtering of the implicit moving average filter (MAF). Further computation savings are obtained by using the double look-up tables and the Goertzel algorithm for the SDFT. Results are validated by simulations and experiments.

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Section: Introductionmentioning

confidence: 99%

First-Fault Detection in DC Distribution With IT Grounding Based on Sliding Discrete Fourier-Transform

Peña-Alzola

Sztykiel

Jones

et al. 2021

IEEE Trans. Power Electron.

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“…In References 34-36, the high voltage line protection scheme using mathematical morphology has been proposed. 37 In this paper, a high-speed and high-precision protection methodology is proposed to locate, detect, and classify various types of faults in MTDC microgrids using the current injection technique, mathematical morphology, and online wavelet transform. Using the traveling waves of the fault current derivative, online wavelet, and mathematical morphology transform, fault occurrence, and faults type are identified.…”

Section: Introductionmentioning

confidence: 99%

Fault detection, location, and classification method on compressed air energy storages based inter‐connected micro‐grid clusters using traveling‐waves, current injection method, on‐line wavelet, and mathematical morphology

Dodangeh

Ghaffarzadeh

2021

Int Trans Electr Energ Syst

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A new current injection technique and traveling-waves-based fast and accurate method for fault detection, location, and classification on interconnected compressed air energy storages based micro-grid clusters presented in this paper.The compressed air energy storages based micro-grid clusters increase due to some issues such as DC sources and loads expanding, energy-saving, and the power quality developing. It is necessary to recognize the fault type and location to continue service and prevent outages expansion. In this method, a circuit kit joined to the network. Fault detection is done by analyzing the coupled kits currents and the traveling-waves of the fault current and applying them to a mathematical morphology filter, in the Fault time. Determine the fault location and type done by using a mathematical morphology filter, circuit equations, and current calculations. DC pole to ground and pole to pole faults in lines, loads, and resources are considered as MTDC microgrid disturbances.The presented method was tested in a DC interconnected micro-grid clusters connected to several energy storages and renewable resources with many faults. The results represent the validity of the proposed method. The main advantages of the proposed fault location and classification technique are higher speed and accuracy than conventional approaches. This method robustly works to variations in fault resistance, sampling frequency, and operates very fine in high impedance fault conditions.

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Prognostic Health Monitoring of DC Microgrid with Fault Detection and Localization using Machine Learning Techniques

Bohara,

Krishnamoorthy

2023

2023 IEEE Energy Conversion Congress and Exposition (ECCE)

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An embedded impedance measurement for DC microgrids based on a Lock-In Amplifier

Cited by 7 publications

References 13 publications

First-Fault Detection in DC Distribution With IT Grounding Based on Sliding Discrete Fourier-Transform

First-Fault Detection in DC Distribution With IT Grounding Based on Sliding Discrete Fourier-Transform

Fault detection, location, and classification method on compressed air energy storages based inter‐connected micro‐grid clusters using traveling‐waves, current injection method, on‐line wavelet, and mathematical morphology

Prognostic Health Monitoring of DC Microgrid with Fault Detection and Localization using Machine Learning Techniques

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