Detection and Comparison of Power Quality Disturbances using Different Techniques

Ingale, Rajesh; Tawade, Laxman

doi:10.5120/13353-0385

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…STFT is more suitable for disturbance signal analysis, while WT obtained better results for detection of disturbances. In [62], different PQ VDDaA methods are presented and compared. Between RMS, STFT and high pass filter, STFT showed the best results.…”

Section: Non-parametric Methodsmentioning

confidence: 99%

A Comprehensive Overview of Digital Signal Processing Methods for Voltage Disturbance Detection and Analysis in Modern Distribution Grids with Distributed Generation

Stanisavljević¹,

Katić²,

Dumnić³

et al. 2019

APH

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The rapid trends towards smart grids and implementation of distributed generation (DG) and renewable energy sources bring new challenges in power quality domain. Modern distribution grids have a higher amount of voltage disturbances due to DGs power converters, nonlinear loads and system faults. The ongoing research on development of new, faster and more reliable techniques for detection and analysis of voltage variations in order to prevent malfunction of equipment or to support gird and enhanced its operation, is at present very important topic. The paper presents a comprehensive overview of voltage disturbances detection and analysis methods, which use different digital signal processing techniques for use in modern distribution grids. Comprehensive, critical literature review encompassed wide range of methods, from standard, well-known ones over digital signal processing (DSP) ones to the advanced, hybrid methods. Simulation and laboratory evaluation of methods applied as part of gridtie inverter control is presented. Advantages and disadvantages are underlined and critical evaluation of selected methods is presented. The main criteria for evaluation of methods are the speed of detection, a reliability of methods, analysis capability and computational complexity (i.e. cost of application).

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Section: Non-parametric Methodsmentioning

confidence: 99%

A Comprehensive Overview of Digital Signal Processing Methods for Voltage Disturbance Detection and Analysis in Modern Distribution Grids with Distributed Generation

Stanisavljević¹,

Katić²,

Dumnić³

et al. 2019

APH

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“…These are classified into Fourier transform or wavelet transform based methods. 51,52 Some of these methods are very simple such as the discrete Fourier 53 windowing based DFT, 54 interpolation-based DFT, 54 and a S-transform-based sag detection. 55 Improved accuracy and detection time are reported by the wavelet transform (WT) 56 and Hilbert transform (HHT) 57 methods; however, it is challenging to implement these detectors on the hardware platform.…”

Section: Non-parametric Sag Detectionmentioning

confidence: 99%

“…51 have used the Fast Fourier transform FFT based sag detection with 100% true-positive sag detection. In Ref., 53 the short-time-Fourier-transform (STFT), the RMS, extended Kalman filter, wavelet-transform and high-pass-filter based sag detection methods are compared based on detection time and accuracy. The STFT outperforms the other methods, but its performance is degraded when there is a sag of smaller magnitude.…”

Section: Non-parametric Sag Detectionmentioning

confidence: 99%

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Talha

Amir

Raihan

et al. 2020

Int Trans Electr Energ Syst

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Background: Recent advancements in solar power generation technology have paved the way for a vast number of photovoltaic (PV) systems integration into the grid network. The global installed capacity of rooftop PV systems has already surpassed a 50 GW mark in 2020, while the total installed capacity of all types of PV systems is reaching beyond 500 GW. The influx of distributed PV-generators must be equipped with sophisticated control to ensure grid stability, especially during grid faults. A devastating grid outage may occur if the grid-tied PV inverters are not equipped with the "fault-ride-through" mechanism. Many countries have already enforced a mandatory grid code which includes a low-voltage-ride through requirements for PV-generators. Aim and Objective: This paper reviews the design of a rooftop PV inverters in the light of low-voltage-ride-through requirements.Materials and Methods: For the implementation of low-voltage-ride-through (LVRT), the design of low-voltage-sag detection, grid-synchronization, filterselection, and power-controllers are examined through simulations and literature survey. LVRT implementation issues are highlighted with an emphasis on the current controller performance during grid sags.Results and Discussion: From the review and analysis conducted in this study, this paper concludes that ensuring a stable DC-link and appropriate control-reference-signals during the grid faults are the keys to the LVRT implementation. Conclusion:In addition to robust power control, an autonomous PV generator should promptly detect the grid conditions and fulfils the ancillary services

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“…The revised version of Fourier transform is STFT; it is as well nomenclature as the sliding window version of the Fast Fourier Transform (FFT) which shows better results in terms of resolution and frequency sensitivity. In STFT, the signal is divided into small enough segments and these segments (portions) of the signal can be assumed to be stationary [Ingale, &Tawade, 2013;Mahela, Shaik, &Gupta, 2015a;Srividya, Muni Sankar, & Devaraju, 2013]. Bayesian Network being a probabilistic framework finds application in reliability studies particularly in the area of power system reliability assessment.…”

Section: Introductionmentioning

confidence: 99%

Power Quality Events Classification on Real-Time Voltage Waveform Using Short Time Fourier Transform and Bayes Classifier

Okelola¹

2018

IJAST

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Detection and Comparison of Power Quality Disturbances using Different Techniques

Cited by 11 publications

References 7 publications

A Comprehensive Overview of Digital Signal Processing Methods for Voltage Disturbance Detection and Analysis in Modern Distribution Grids with Distributed Generation

A Comprehensive Overview of Digital Signal Processing Methods for Voltage Disturbance Detection and Analysis in Modern Distribution Grids with Distributed Generation

Grid‐connected photovoltaic inverters with low‐voltage ride through for a residential‐scale system: A review

Power Quality Events Classification on Real-Time Voltage Waveform Using Short Time Fourier Transform and Bayes Classifier

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