Grid Voltage Amplitude and Frequency Real-Time Estimation using Linear Kalman Filter

Kunac, Antonijo; Petrović, Goran; Despalatović, Marin; Sarajčev, Petar

doi:10.23919/splitech55088.2022.9854381

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…(1) Long short-term memory (LSTM) networks LSTM networks are used for their ability to capture temporal dependencies in time-series data. They are particularly effective in detecting patterns that span over long sequences, making them ideal for identifying faults and cyberattacks in the grid [57][58][59].…”

Section: Machine Learning Techniques Employedmentioning

confidence: 99%

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A Machine Learning-Based Smart Grid Protection and Control Framework Using Kalman Filters for Enhanced Power Management

Dayananda,

Srikantaswamy,

Nagaraju

et al. 2024

JESA

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Section: Machine Learning Techniques Employedmentioning

confidence: 99%

“…A positive-definite state weighting matrix and a control weighting matrix are denoted by 𝑂 ℵ and 𝐵 ℵ , respectively, in this context [53][54][55][56][57][58][59]. F represents the state feedback gain matrix.…”

Section: A Proposed Framework For Estimating and Controllingmentioning

confidence: 99%

A Machine Learning-Based Smart Grid Protection and Control Framework Using Kalman Filters for Enhanced Power Management

Dayananda,

Srikantaswamy,

Nagaraju

et al. 2024

JESA

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Fault Diagnosis of Current Sensor in Grid-Connected Inverter Based on Sliding Mode Observer

Jin

Xia

et al. 2023

2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

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Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an Adaptive Kalman Filter

Martínez-Navarro,

Orts-Grau,

Alfonso-Gil

et al. 2024

Applied Sciences

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The effects of harmonics, interharmonics, and subharmonics on low-voltage distribution networks, leading to a deterioration in electrical power quality, have become more evident in recent years. The main harmonic sources are power electronic devices due to their implicit nonlinearity. Interharmonic and subharmonic components are mainly caused by a lack of synchronization between the grid frequency and the switching frequency of the power converters. This can be caused by asynchronous modulated devices, or more commonly by fluctuations in the fundamental grid frequency. Interharmonic currents cause interharmonic voltage distortions that affect grid-synchronized or frequency-dependent systems. The IEC-61000-4-7 proposes a general guide on harmonics, interharmonic measurements, and instrumentation in current supply systems. However, the techniques proposed in the standard are intended for measurement and do not enable a precise identification of the interharmonic components in a signal. This work proposes new definitions for the spectral energy aggrupation to improve signal component detection for the IEC standard. Furthermore, an adaptive Kalman filter algorithm is developed that enables the exact identification in real time of the frequency, amplitude, and phase of these components. The proposed system will become the basis for the implementation of a new range of measurement systems that provide improved accuracy and real-time operation. The work is supported by simulated results analysing various scenarios (including transients after changes in harmonic content in the grid voltage) that demonstrate the effectiveness of the proposed method.

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Grid Voltage Amplitude and Frequency Real-Time Estimation using Linear Kalman Filter

Cited by 3 publications

References 20 publications

A Machine Learning-Based Smart Grid Protection and Control Framework Using Kalman Filters for Enhanced Power Management

A Machine Learning-Based Smart Grid Protection and Control Framework Using Kalman Filters for Enhanced Power Management

Fault Diagnosis of Current Sensor in Grid-Connected Inverter Based on Sliding Mode Observer

Synchronized Measurement of the Fundamental Voltage and Harmonic, Interharmonic, and Subharmonic Components of the Electrical Grid Using an Adaptive Kalman Filter

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