Research on Fourier and Prony analysis algorithm of inter-harmonic in power system

Lei, Hong; Huang, Ya; Jiang, Li; Gao, Ge; Zhang, Jie; Wu, Pingping

doi:10.1016/j.egyr.2022.02.204

Cited by 4 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The phase shift is calculated by formula (3). The ratio of the frequencies of signals (ω) and switching (Ω), that is, ω Ω must satisfy the condition ω>>Ω.…”

Section: Research Results and Discussionmentioning

confidence: 99%

“…A review and ge neralization of existing methods and means for measuring the phase characteristics of low-frequency harmonic signals makes it possible to reveal their potential. For example, to establish directions for their development and improvement to improve the characteristics of known systems and create new CPS to solve new problems [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, electromagnetic sounding is used for accurate detection of internal structural defects in construction, mechanical engineering, in quality control of the road surface, to search for underground archaeological sites, etc. Vortex systems at low frequencies require high sensitivity to small phase shifts caused by geological objects and other leading bodies [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Overview of methods and means of implementation of information and measuring components cyber-physical systems for electromagnetic probing

Buchma

Voichenko

2022

TAPR

View full text Add to dashboard Cite

The object of research is cyber-physical systems for the study of inhomogeneous environments, in particular, such as land and water depths, in order to find in them the leading bodies. One of the most problematic places in the creation of such systems is a highly sensitive meter of small phase shifts with a low sensitivity threshold. During the study, a review of methods for achieving a low threshold of sensitivity to phase shift. The main one is the method of converting the phase shift into the amplitude modulation coefficient. The implementation of the method is based on the sum-difference transformation with the preliminary introduction of the quadrature phase shift between the signals. The results concerning the methods of solving the following problems are obtained: – increasing the temperature stability of the quadrature phase shifter; – reducing the non-identity of the transmission coefficients of the sumo-difference scheme channels; – allocation of the amplitude of the amplitude-phase-modulated signal at low ratios of the frequencies of the input signals and switching. The first problem is partially solved by dividing the quadrature phase shifter into two equal halves, placed in different channels, with approximately the same phase temperature coefficients. The second problem is also solved by manual calibration before measurement. The most difficult task is to extract the bypass from the amplitude-phase-modulated signal, in which the carrier frequency is only several times greater than the bypass. The difficulty is that the detection produces combinational frequencies due to phase modulation. Therefore, it is difficult to separate them. Several methods of allocating the bypass, if the frequency of the input signals is fixed, are considered. This allows to get the sensitivity threshold(1·10–4÷3·10–5) of advice. Reducing the operating frequency of the signals increases the depth of research, but increases the impact of flicker noise. The minimum frequency is 10 Hz. Therefore, these methods are not suitable for frequencies of Hz units. Methods to reduce the impact of flicker noise will be considered in another paper.

show abstract

“…The phase shift is calculated by formula (3). The ratio of the frequencies of signals (ω) and switching (Ω), that is, ω Ω must satisfy the condition ω>>Ω.…”

Section: Research Results and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Overview of methods and means of implementation of information and measuring components cyber-physical systems for electromagnetic probing

Buchma

Voichenko

2022

TAPR

View full text Add to dashboard Cite

show abstract

“…Analyzing the parameters of harmonics to obtain real-time and accurate harmonic data is key to harmonic detection. Currently, power system harmonic analysis primarily relies on time-domain analysis [5], frequency-domain analysis [6], wavelet transform method [7], and Hilbert-Huang transform method [8]. In classical time-frequency domain analysis methods, spectral overlap occurs when weak power harmonic signals are overwhelmed by a wide spectrum of strong background noise.…”

Section: Introductionmentioning

confidence: 99%

“…The literature [5] utilizes the Prony algorithm to analyze power system harmonics and interharmonic signals in the time domain. While the Prony algorithm offers high frequency resolution, this method is easily affected by noise signals and can only accurately estimate the characteristic indexes of harmonic and interharmonic components in the absence of noise or with minimal noise.…”

Section: Introductionmentioning

confidence: 99%

Power System Signal-Detection Method Based on the Accelerated Unsaturated Stochastic Resonance Principle

Sun,

Qi,

Yuan

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

The classical bistable stochastic resonance algorithm has an inherent output saturation defect that restricts the amplitude of the output signal. This paper examines the causes of this phenomenon and its negative impact on the detection of weak signals. Proposing the Unsaturated Bistable Stochastic Resonance (UBSR) detection algorithm involves constructing a segmented potential function using a linear function to eliminate the effect of higher-order terms in the classical stochastic resonance algorithm. A new type of segmented potential function has been created by combining exponential and linear functions. This new function helps to eliminate the impact of higher-order terms in classical algorithms while also improving the noise immunity of the stochastic resonance system. This results in the development of the accelerated stochastic resonance (ASR) detection algorithm. In this paper, the Kramers escape rate and output signal-to-noise ratio of two improved stochastic resonance algorithms are theoretically derived and compared with the classical bistable stochastic resonance algorithms, and the proposed algorithms are able to effectively avoid the output saturation phenomenon and have more excellent detection performance under strong background noise.

show abstract

Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window

Chen

Yang

Wang

et al. 2023

2023 8th Asia Conference on Power and Electrical Engineering (ACPEE)

View full text Add to dashboard Cite

Research on Fourier and Prony analysis algorithm of inter-harmonic in power system

Cited by 4 publications

References 7 publications

Overview of methods and means of implementation of information and measuring components cyber-physical systems for electromagnetic probing

Overview of methods and means of implementation of information and measuring components cyber-physical systems for electromagnetic probing

Power System Signal-Detection Method Based on the Accelerated Unsaturated Stochastic Resonance Principle

Complex Harmonic Detection Based on MSLD Self-multiplication-convolution Window

Contact Info

Product

Resources

About