New Approach to Harmonic Overvoltages Reduction during Transformer Energization via Controlled Switching

Sadeghkhani, Iman; Ketabi, Abbas; Feuillet, R.

doi:10.1109/isap.2009.5352837

Cited by 15 publications

(9 citation statements)

References 15 publications

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“…Non-sinusoidal modes are characterized by the appearance of higher harmonics of current and voltage [4,6,[9][10][11]. The distortions of voltage and current waveforms in the case of non-sinusoidal modes appear due to nonlinearity of the magnetization shunts of unloaded autotransformer.…”

Section: Definitionmentioning

confidence: 99%

“…The main direction of previous studies was focused on the development and application of mathematical models in order to obtain quantitative results for practical use [10,11]. They have not found the exact cause of overvoltages in the higher harmonic components, although cases of this type are known for a long time.…”

Section: Definitionmentioning

confidence: 99%

“…They have not found the exact cause of overvoltages in the higher harmonic components, although cases of this type are known for a long time. From these results [10,11] is unclear and unknown, themselves or switching modes lead to overvoltages at the higher harmonic. An investigation in area of overvoltages was performed with great simplification, because this type of overvoltages depends on many factors.…”

Section: Definitionmentioning

confidence: 99%

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The resonance overvoltages in nonsinusoidal modes of extra high voltage transmission lines

Kuchanskyi

2017

Electronics and Communications

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Abstract-Due to the rising role of overhead lines extra high voltage there is a need of application of modern electronic devices that allow controlling modes of bulk electricity system. Durable resonance overvoltage may cause damage of electrical power equipment. This kind of overvoltage is caused by properties of the network and can be eliminated by changing the ratio between the parameters of the network and its mode. Unlike switching overvoltage that exist centiseconds, resonance overvoltage not only occur unexpectedly, but they may go on for a long time until the automatic action or action of personnel will not change electrical schemes or operation modes. The resonance overvoltage are neglected when selecting insulation or parameters for high-voltage surge arrester as this protective measure is calculated to limit switching overvoltage, not to extinguish a long resonance process. Therefore, the probability and development of system accidents due to resonance overvoltage is significant. One of the main causes of equipment failure in the main electrical network is overvoltage.

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Section: Definitionmentioning

confidence: 99%

Section: Definitionmentioning

confidence: 99%

Section: Definitionmentioning

confidence: 99%

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The resonance overvoltages in nonsinusoidal modes of extra high voltage transmission lines

Kuchanskyi

2017

Electronics and Communications

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“…The estimation of temporary over voltages which are occurred during the energization of transformer in the process of restoration is beneficial in designing the minimum rating of devices to be used. The temporary over voltages are reduced by controlling switching, the evaluations of inrush currents for single phase transformer are done on the basis of automatic procedure [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Judgment of Temporary over Voltages during Transformer Refurbishment

Peesapati¹,

Kumar²,

Yadav³

2014

IJCA

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In this research work Radial Basis Function (RBF) Neural Network (NN) and Regression models are used to estimate Temporary over Voltages (TOVs) that are occurred during the reenergization of lightly loaded transformer. Assessment of the TOVs are carried out in order to control the high peak voltage up to a safe operating point to ensure the safety of the power system equipments. The proposed approaches are applied to the standard IEEE 30 bus test system to evaluate its efficacy. The statistical approach is applied to examine the robustness of the forecasting results. Results show that the methods conveyed in this research are better and could be helpful for power system restoration planning.

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“…The purpose of a protective relays is to clear the fault as quickly as possible, minimize the damage caused due to fault and restore the line quickly. As a result of this it is important to know about the nature of the fault that occurred in the line and its exact location [11][12][13][14][15][16][17][18][19]. The purpose of this paper is to remedy this situation by developing an FDS for transmission networks based on ANN methodology.…”

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confidence: 99%

The Use of Artificial Neural Networks in the Theoretical Investigation of Faults in Transmission Lines

Madueme

Wokoro

2015

Nig. J. Tech.

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ABSTRACT ABSTRACTThis paper describes the development of a fast, efficient, artificial neural network (ANN) based fault diagnostic This paper describes the development of a fast, efficient, artificial neural network (ANN) based fault diagnostic This paper describes the development of a fast, efficient, artificial neural network (ANN) based fault diagnostic This paper describes the development of a fast, efficient, artificial neural network (ANN) based fault diagnostic system (FDS) for the system (FDS) for the system (FDS) for the system (FDS) for the location of fault on transmission lines. The principal functions of this diagnostic system are location of fault on transmission lines. The principal functions of this diagnostic system are location of fault on transmission lines. The principal functions of this diagnostic system are location of fault on transmission lines. The principal functions of this diagnostic system are: : : : detection of fault occurrence, detection of fault occurrence, detection of fault occurrence, detection of fault occurrence, identification of faulted sections and classification of faults into types. This has been identification of faulted sections and classification of faults into types. This has been identification of faulted sections and classification of faults into types. This has been identification of faulted sections and classification of faults into types. This has been achieved through a cascaded, multilayer ANN structure using the back achieved through a cascaded, multilayer ANN structure using the back achieved through a cascaded, multilayer ANN structure using the back achieved through a cascaded, multilayer ANN structure using the back----propagation (BP) learning algorithm. This propagation (BP) learning algorithm. This propagation (BP) learning algorithm. This propagation (BP) learning algorithm. This paper shows that the FDS accurately identifies High Imp paper shows that the FDS accurately identifies High Imp paper shows that the FDS accurately identifies High Imp paper shows that the FDS accurately identifies High Impedance Faults, which are relatively difficult to identify with edance Faults, which are relatively difficult to identify with edance Faults, which are relatively difficult to identify with edance Faults, which are relatively difficult to identify with other methods. Test results are simulated and generated in MATLAB using Apo 132KV transmission line in Apo other methods. Test results are simulated and generated in MATLAB using Apo 132KV transmission line in Apo other methods. Test results are simulated and generated in MATLAB using Apo 132KV transmission line in Apo other methods. Test results are simulated and generated in MATLAB using Apo 132KV transmission line in Apo transmission substation, Abuja. These results amply demonstrate the capability of the transmission substation, Abuja. These results amply demonstrate the capability of the transmission substation, Abuja. These results amply demonstrate the capability of the transmission ...

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New Approach to Harmonic Overvoltages Reduction during Transformer Energization via Controlled Switching

Cited by 15 publications

References 15 publications

The resonance overvoltages in nonsinusoidal modes of extra high voltage transmission lines

The resonance overvoltages in nonsinusoidal modes of extra high voltage transmission lines

Judgment of Temporary over Voltages during Transformer Refurbishment

The Use of Artificial Neural Networks in the Theoretical Investigation of Faults in Transmission Lines

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