A High-Precision and Wideband Fundamental Frequency Measurement Method for Synchronous Sampling Used in the Power Analyzer

Wang, Yifan; Chen, Kai; Gou, Xuan; He, Renjun; Zhou, Wenjian; Sheng, Yang; Qiu, Gen

doi:10.3389/fenrg.2021.652386

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Figure 1 a shows the classic feature extraction execution scheme [ 6 , 9 , 10 , 12 , 13 , 14 , 15 , 16 , 17 , 20 ]. It is a straightforward procedure.…”

Section: Methodsmentioning

confidence: 99%

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

Hernandez-Gonzalez,

Montiel-Caminos,

Sosa

et al. 2024

Sensors

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This paper describes the design and optimization of a smart algorithm based on artificial intelligence to increase the accuracy of an ocean water current meter. The main purpose of water current meters is to obtain the fundamental frequency of the ocean waves and currents. The limiting factor in those underwater applications is power consumption and that is the reason to use only ultra-low power microcontrollers. On the other hand, nowadays extraction algorithms assume that the processed signal is defined in a fixed bandwidth. In our approach, belonging to the edge computing research area, we use a deep neural network to determine the narrow bandwidth for filtering the fundamental frequency of the ocean waves and currents on board instruments. The proposed solution is implemented on an 8 MHz ARM Cortex-M0+ microcontroller without a floating point unit requiring only 9.54 ms in the worst case based on a deep neural network solution. Compared to a greedy algorithm in terms of computational effort, our worst-case approach is 1.81 times faster than a fast Fourier transform with a length of 32 samples. The proposed solution is 2.33 times better when an artificial neural network approach is adopted.

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“…Figure 1 a shows the classic feature extraction execution scheme [ 6 , 9 , 10 , 12 , 13 , 14 , 15 , 16 , 17 , 20 ]. It is a straightforward procedure.…”

Section: Methodsmentioning

confidence: 99%

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

Hernandez-Gonzalez,

Montiel-Caminos,

Sosa

et al. 2024

Sensors

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“…Except for the shared definitions, the IEC 61000-4-30 standard establishes reliable methods for measuring and interpreting electromagnetic parameters in electrical grids. In [24], the author also mentioned and defined the indicators of PQD events. PQ events are classified according to the status of PQS in the power grid.…”

Section: Power Qualitymentioning

confidence: 99%

A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

Yan¹,

Chen²,

Geng³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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With increasing global concerns about clean energy in smart grids, the detection of power quality disturbances (PQDs) caused by energy instability is becoming more and more prominent. It is well acknowledged that the PQD effects on power grid equipment are destructive and hazardous, which causes irreversible damage to underlying electrical/electronic equipment of the concerned intelligent grids. In order to ensure safe and reliable equipment implementation, appropriate PQD detection technologies must be adopted to avoid such adverse effects. This paper summarizes the newly proposed and traditional PQD detection techniques in order to give a quick start to new researchers in the related field, where specific scenarios and events for which each technique is applicable are also clearly presented. Finally, comments on the future evolution of PQD detection techniques are given. Unlike the published review articles, this paper focuses on the new techniques from the last five years while providing a brief recap on traditional PQD detection techniques so as to supply researchers with a systematic and state-of-the-art review for PQD detection.

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“…The power analyzer is commonly utilized for testing electrical equipment's power performance, encompassing various aspects such as standby power consumption, startup inrush behavior, operational efficiency, power factor, harmonic interference and load regulation [8][9][10][11]. The standby power consumption of household appliances ranges from 0.2 W to 10 W [12,13], while their rated power consumption can vary from a few watts to several kilowatts.…”

Section: Introductionmentioning

confidence: 99%

Current-Sensing Topology with Multi Resistors in Parallel and Its Protection Circuit

et al. 2023

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Current-sensing topology with multi resistors in series has limitations in improving the dynamic range of current acquisition, so a sensing topology with multi resistors in parallel is proposed. The overcurrent state of a parallel shunt circuit cannot be latched, resulting in protection hiccups. A dual threshold-detection circuit is designed to achieve protection state latching and self-recovery. The rectified mean circuit is applied for overcurrent magnitude detection and its validity is proved. But the delay and ripple of the output waveform of the rectified mean circuit may also cause protection hiccups. Combining Fourier series representation, Fourier transform and inverse transform, the time domain expressions of the output of the rectified mean circuit for three common waveforms are obtained. Furthermore, the estimation formulas for the residual ripple amplitude of the three waveforms are derived. In an experiment, the protection hiccup issue in parallel sensing topology was eliminated, while the time constants and hysteresis ratios of the protection circuits were properly set according to theoretical calculation results. With five parallel sensing resistors, the ratio of the maximum to minimum range of the single current channel reaches 1.28×104, which is higher than counterparts with multiple series sensing resistors. The advantages of parallel sensing topology in improving dynamic range are confirmed.

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A High-Precision and Wideband Fundamental Frequency Measurement Method for Synchronous Sampling Used in the Power Analyzer

Cited by 6 publications

References 21 publications

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

An Edge Computing Application of Fundamental Frequency Extraction for Ocean Currents and Waves

A Review on Intelligent Detection and Classification of Power Quality Disturbances: Trends, Methodologies, and Prospects

Current-Sensing Topology with Multi Resistors in Parallel and Its Protection Circuit

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