Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sopheap Key"'
Publikováno v:
Energies, Vol 17, Iss 4, p 963 (2024)
The reliability and stability of differential protection in power transformers could be threatened by several types of inferences, including magnetizing inrush currents, current transformer saturation, and overexcitation from external faults. The rob
Externí odkaz:
https://doaj.org/article/6890c139bcc441148e9cc783cd4cdc21
Publikováno v:
Energies, Vol 16, Iss 3, p 1528 (2023)
Malfunctions in relay protection devices are predominantly caused by current transformer (CT) saturation which produces distortion in current measurements and disturbances in power system protection. The development of deep learning in power system p
Externí odkaz:
https://doaj.org/article/5b03d889ea804616af133dae677ee675
Publikováno v:
IEEE Access, Vol 9, Pp 154731-154739 (2021)
Current transformer saturation has a negative effect on the operation of IEDs, resulting in their malfunction. Here, we present a technique to compensate for saturated waveforms using Bayesian Deep Neural Network (BDNN) comprising Deep Neural Network
Externí odkaz:
https://doaj.org/article/4147964eba1148ce94d3571bf1d32501
Publikováno v:
Energies, Vol 14, Iss 3, p 722 (2021)
We developed an International Electrotechnical Commission (IEC) 61850-based centralized protection scheme to prevent single line-to-ground (SLG) faults in the feeders and busbars of ungrounded distribution systems. Each feeder intelligent electronic
Externí odkaz:
https://doaj.org/article/f7f2d2da5a454e878e9e6f2f8cedea5f
Publikováno v:
IEEE Access, Vol 9, Pp 154731-154739 (2021)
Current transformer saturation has a negative effect on the operation of IEDs, resulting in their malfunction. Here, we present a technique to compensate for saturated waveforms using Bayesian Deep Neural Network (BDNN) comprising Deep Neural Network
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
Current transformer saturation is a key issue for power systems because it negatively affects the operation of relays, resulting in the malfunction of protection devices. Recently, deep learning has been used in many academic fields with promising re
Autor:
Su-Hwan Kim, Sopheap Key, Soon-Ryul Nam, Young Ik Son, Vattanak Sok, Chang-Sung Ko, Nam-Ho Lee
Publikováno v:
15th International Conference on Developments in Power System Protection (DPSP 2020).
The amount of electrical consumption rises gradually every year which puts an enormous strain on electrical power systems and electrical protective systems. Dealing with this issue, automatic protective systems have been developed relentlessly; howev
Publikováno v:
2019 IEEE 8th International Conference on Advanced Power System Automation and Protection (APAP).
Current Transformer (CT) saturation is regarded as one of the major problems in power system field due to the reason that it negatively impacts the operation of relays, resulting in malfunction protective devices. Recently, deep learning methods have