FDST‐based PQ event detection and energy metering implementation on FPGA‐in‐the‐loop and NI‐LabVIEW

Jaiswal, Supriya; Ballal, Makarand Sudhakar

doi:10.1049/iet-smt.2016.0481

Cited by 17 publications

(8 citation statements)

References 20 publications

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“…In this situation, using an effective and fast method is necessary to take in consideration those distortions when the current and voltage RMS values are being calculated. For this purpose, Fourier-based methods have been proposed [1]. Although these methods have shown a very good performance; they are not suitable for non-stationary waveforms analysis.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Real Time RMS Measurement System based on Wavelet Transform Using adsPIC-type Microcontroller

Guia¹,

Soukkou²,

Meneceur³

et al. 2020

IJIGSP

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Real Time RMS Measurement System based on Wavelet Transform Using adsPIC-type Microcontroller

Guia¹,

Soukkou²,

Meneceur³

et al. 2020

IJIGSP

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“…72 Biswal et al 73 proposed a PQD&C technique using hyperbolic ST (HST) for feature extraction and genetic algorithm-based fuzzy C-means (FCM) for automatic recognition of events. 78 Here, a comparison of FDST-based energy metering process with existing algorithms like FFT and filter-based design was carried out. The ST with module time-frequency matrix using maximum similarity principle was suggested by Xiao et al 75 as a PQD&C approach.…”

Section: Stockwell Transform and Its Variants' Based Methodsmentioning

confidence: 99%

“…FDST with automatic scaling for correct detection of PQ disturbances and energy metering was digitally implemented in Jaiswal and Ballal. 78 Here, a comparison of FDST-based energy metering process with existing algorithms like FFT and filter-based design was carried out. The outcomes prove that FDST-based energy metering scheme performs outstanding compared with other recent algorithms in terms of accuracy, adaptability, and complexity under PQ events.…”

Section: Stockwell Transform and Its Variants' Based Methodsmentioning

confidence: 99%

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

Mishra

2019

Int Trans Electr Energ Syst

138

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Summary Power quality (PQ) studies have gained huge attention from the academics and the industry over the past three decades. The main objective of this article is to provide a comprehensive review on the state‐of‐the‐art techniques based on digital signal processing (DSP) and machine learning for automatic recognition of PQ events. It is aimed to present extensive information on the status of detection and classification of PQ events to the academics following a line of investigation on the similar domain. On the other hand, microgrid is one of the emerging architecture under the umbrella of smart grid infrastructure. In microgrid environment, the integration of renewable energy sources and distributed generators boosts the application of power electronic technology, which is the main cause of various PQ issues. Therefore, various PQ detection and classification (PQD&C) schemes for microgrid application using DSP and machine learning techniques have been reviewed in this article. Moreover, a comparative assessment on various PQD&C techniques has been carried out in details considering several criteria, such as type of data used (synthetic or real world), type of PQ disturbance studied (single or multiple), and performance in terms of accuracy (both noiseless and noisy environment). Hence, several types of research work in PQD&C area, such as the detection principles, benefits, and weaknesses of former works related to each PQD&C technique, are tinted in this manuscript. Therefore, from this review, the opportunities in PQD&C research domain in the power system can be explored further.

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“…Multiple PV panels are connected in series and parallel to obtain desired voltages and currents. However, these PV panels become ineffective and inefficient due to panel mismatch, partial shading and hot spot effects [3][4][5]. To overcome these problems, a modular DC-DC resonant converter is introduced as shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of high efficient dual control modular resonant converter for DC microgrid

Reddy¹,

Suryawanshi²,

Talapur³

et al. 2020

IET Power Electronics

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A modular structured 12-kW resonant converter with effective zero voltage switching (ZVS) is proposed to integrate renewable energy lower voltage source to the microgrid. In this study, duty cycle control is adopted until ZVS fails and thereafter, sequential and parallel adjustment of duty cycle and the switching frequency is proposed for effective output voltage regulation. The proposed control logic ensures ZVS and output voltage regulation over wide load range even at very light loads compared to conventional control methods. Further, it maintains very high system efficiency with narrow range of frequency operation. Hence, it is easy to implement using a conventional digital controller. To minimise ripple current, each of the four converters is provided with 90° phase delayed gate pulses under the proposed control scheme. This study presents an optimal design of the tank circuit elements assimilating high permeable powder cores to reduce magnetic loss and operation with IGBT switches at an optimum point to reduce conduction loss for enhanced system efficiency. A 12-kW, 400-1600 V developed prototype is tested and experimental results are discussed.

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FDST‐based PQ event detection and energy metering implementation on FPGA‐in‐the‐loop and NI‐LabVIEW

Cited by 17 publications

References 20 publications

Design and Implementation of Real Time RMS Measurement System based on Wavelet Transform Using adsPIC-type Microcontroller

Design and Implementation of Real Time RMS Measurement System based on Wavelet Transform Using adsPIC-type Microcontroller

Power quality disturbance detection and classification using signal processing and soft computing techniques: A comprehensive review

Design and implementation of high efficient dual control modular resonant converter for DC microgrid

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