Zobrazeno 1 - 10
of 504
pro vyhledávání: '"power quality disturbance"'
Autor:
Sairam Mishra, Ranjan Kumar Mallick, Debadatta Amaresh Gadanayak, Pravati Nayak, Renu Sharma, Aymen Flah, Lukas Prokop, Habib Kraiem, Mohammad Kanan
Publikováno v:
IEEE Access, Vol 12, Pp 130833-130856 (2024)
The trend of integrating different distributed generation sources into the existing grid have increased the probability of power quality disturbances to a threatening level. Eventually, detection, protection and mitigation of these disturbances are e
Externí odkaz:
https://doaj.org/article/b1fd8d3ff82f4a998a384d060a293b5f
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 10, Iss 2, Pp 584-592 (2024)
In this paper, a novel signal processing method combining mathematical morphology (MM) and Walsh theory is proposed, which uses Walsh functions to control the structuring element (SE) and MM operators. Based on the Walsh-MM method, a scheme for power
Externí odkaz:
https://doaj.org/article/70f8ab20697b425c8d22ea7201d7f141
Autor:
Ahmad Alvi Syahrin, Dimas Okky Anggriawan, Eka Prasetyono, Epyk Sunarno, Endro Wahjono, Indhana Sudiharto, Suhariningsih Suhariningsih
Publikováno v:
Jurnal Rekayasa Elektrika, Vol 20, Iss 1 (2024)
Power quality disturbances cause equipment damage or financial losses. Therefore, the electric power system needs to identify and distinguish any power quality disturbances to reduce problems. This paper proposes hybrid methods combining FFT and ANFI
Externí odkaz:
https://doaj.org/article/82393cdc4b544557ad3527ffdddbe54a
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 512-521 (2023)
With the continuous development of distributed generation, power quality problems are more complex. In order to ensure that the power quality of the active distribution network meets the requirements of users, it is of great significance to accuratel
Externí odkaz:
https://doaj.org/article/a85667e69a234f60b44d3c93f570a90b
Publikováno v:
Energy Science & Engineering, Vol 11, Iss 9, Pp 3232-3249 (2023)
Abstract Aiming at the problems of noise interference and too many network parameters for power quality disturbances' (PQDs') classification based on deep learning, the lightweight convolutional neural network combining maximum likelihood Kalman filt
Externí odkaz:
https://doaj.org/article/818ffeaff5c844ce8c8a09cb9f6c444a
Publikováno v:
Energies, Vol 17, Iss 13, p 3227 (2024)
Power quality is an important metric for the normal operation of a power system, and the accurate identification of transient signals is of great significance for the improvement of power quality. The diverse types of power system transient signals a
Externí odkaz:
https://doaj.org/article/b8068ac888f44de8932393d095a2b067
Publikováno v:
IET Generation, Transmission & Distribution, Vol 17, Iss 13, Pp 3070-3083 (2023)
Abstract Large‐scale integration of distributed generation and widespread use of power electronic equipment make power quality disturbances (PQDs) more complicated. There are still unsolved problems for the classification of multiple power quality
Externí odkaz:
https://doaj.org/article/8a47eb79fcf249bf81f52056e47d80dc
Publikováno v:
Energies, Vol 17, Iss 6, p 1396 (2024)
There is some risk of power quality disturbances at many stages of production, transformation, distribution, and energy consumption. The cornerstone for dealing with power quality problems is the characterization of power quality disturbances (PQDs).
Externí odkaz:
https://doaj.org/article/bccdad45dbb24f6aab9947fd9e58d5cf
Akademický článek
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Autor:
Dewan Feng
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 6, Pp 1920-1928 (2023)
Systems powered by scattered sustainable power sources are highly susceptible to disturbances in the quality of power. Power Quality Disturbances (PQD) signals can degrade the functionality of grid-powered appliances. The older techniques for recogni
Externí odkaz:
https://doaj.org/article/772fed713d4c411f80b720524b0e3260