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of 9
pro vyhledávání: '"Mohammad Djamali"'
Autor:
Stefan Tenbohlen, Sebastian Coenen, Mohammad Djamali, Andreas Müller, Mohammad Hamed Samimi, Martin Siegel
Publikováno v:
Energies, Vol 9, Iss 5, p 347 (2016)
With the increasing age of the primary equipment of the electrical grids there exists also an increasing need to know its internal condition. For this purpose, off- and online diagnostic methods and systems for power transformers have been developed
Externí odkaz:
https://doaj.org/article/d79d819821e14619bba100919e9ae9a8
Publikováno v:
2020 28th Iranian Conference on Electrical Engineering (ICEE).
The purpose of this paper is to present an advanced physical thermal model to accurately predict the top oil temperature (TOT) according to laboratory measurement data. The measurands are the ambient temperature (AT), TOT, and loading factor. An impo
Publikováno v:
IEEE Transactions on Power Delivery. 33:1134-1142
With the integration of the renewable energy-based distributed small power plants, whose generated energies are uncertain, in addition to the increasing usage of the charging stations for electric vehicles, the determination of the dynamic loading of
Publikováno v:
International Journal of Electrical Power & Energy Systems. 128:106748
Early detection of internal faults within the transformer reduces the outage and repair costs by planning the repair procedure according to the circumstances and prior to a catastrophic failure. Thermal faults are types of internal faults, which lead
Autor:
Stefan Tenbohlen, Mohammad Djamali
Publikováno v:
IET Generation, Transmission & Distribution. 11:2731-2739
Loading capability of transformers depends strongly on their thermal conditions which can be investigated by means of a dynamic thermal model. It is typically a set of simple differential equations representing very complex physical phenomena; howeve
Autor:
Mohammad Djamali, Stefan Tenbohlen
Publikováno v:
International Journal of Thermal Sciences. 116:224-233
With the integration of the renewable energy-based power plants into the power system, and due to their volatile nature, the overloading of power transformers is inevitable for economical reasons. Under a specified loading condition, the operation of
Autor:
Stefan Tenbohlen, Mohammad Djamali
Publikováno v:
IEEE Transactions on Power Delivery. 32:1058-1067
In order to make the best use of the existing assets, monitoring of power transformers provides the ability to continuously assess the overload capability of transformers. This can be more economically advantageous than the extension of the network b
A priori metrics to select best training dataset of top-oil temperature models of power transformers
Autor:
Mohammad Djamali, Stefan Tenbohlen
Publikováno v:
2014 ICHVE International Conference on High Voltage Engineering and Application.
In order to use top-oil temperature models in an online thermal monitoring system, the unknown parameters of the models should be determined. Moreover, the values of these parameters differ for different transformers and different datasets; therefore
Autor:
Mohammad Djamali, Martin Siegel, S. Coenen, Mohammad Hamed Samimi, Stefan Tenbohlen, Andreas Müller
Publikováno v:
Energies, Vol 9, Iss 5, p 347 (2016)
With the increasing age of the primary equipment of the electrical grids there exists also an increasing need to know its internal condition. For this purpose, off- and online diagnostic methods and systems for power transformers have been developed