scholarly journals Mitigation of Inrush Current in Three Phase Power Transformer by Prefluxing Technique

2019 ◽  
Vol 8 (3S) ◽  
pp. 580-585
Keyword(s):  
Power System ◽  
Power Transformer ◽  
Electrical Energy ◽  
Inrush Current ◽  
System Quality ◽  
Transformer Protection ◽  
Controlled Switching ◽  
Three Phase ◽  
Electrical Loads ◽  
Wave Switching

Transformers are major component for electrical energy transfer in power system. Sta¬bility and security of the transformer protection are important to system operation. At the time of transformer energization, a high current will be drawn by the transformer. The mentioned current is called transient inrush current and it may rise to ten times the nominal full load current of transformer during operation. Energization transients can produce me-chanical stress to the transformer, cause protection system malfunction and it often affects the power system quality and may disrupt the operation of sensitive electrical loads such as computers and medical equipment connected to the system. Re¬duction and the way to control of energization transient currents have become im-portant concerns to the power industry for engineers. One of the methods to reduce inrush current is use of point on wave switching at the time transformer is initially connected to supply. It is called controlled switching or point-on-wave switching. In the point on wave switching, the energization of three phases is controlled ac-cording to the residual flux which remains in the transformer. Conven¬tionally, controlled switching or point on wave switching was the method being used to counter this problem, but this method required the knowledge of residual fluxes of transformer before energization which is quite tedious to get. So a technique has been pro-posed to mitigate inrush current in three phase transformer, by a process called pre-fluxing. After setting the in-itial fluxes of transformer it is energized by conventional controlled switching. A system of power transformer of specified rating is simulated in MATLAB simulink and results were obtained. This Paper describes the mod-eling of inrush current of 3- phase, 300 MVA, 11/400 KV, 50 Hz transformer, and mitigation of inrush current with both techniques using point on wave switching and prefluxing. The simulation is done in MATLAB..

Inter-turn fault stability enrichment and diagnostic analysis of power system network using wavelet transformation-based sample data control and fuzzy logic controller

2021 ◽  
pp. 014233122110070
Author(s):  
Arunesh Kumar Singh ◽  
Abhinav Saxena ◽  
Nathuni Roy ◽  
Umakanta Choudhury
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Wavelet Transformation ◽  
Fuzzy Logic Controller ◽  
Power Transformer ◽  
Harmonic Distortion ◽  
Inrush Current ◽  
Data Control ◽  
Sample Data ◽  
Z Transformation

In this paper, performance analysis of power system network is carried out by injecting the inter-turn fault at the power transformer. The injection of inter-turn fault generates the inrush current in the network. The power system network consists of transformer, current transformer, potential transformer, circuit breaker, isolator, resistance, inductance, loads, and generating source. The fault detection and termination related to inrush current has some drawbacks and limitations such as slow convergence rate, less stability and more distortion with the existing methods. These drawbacks motivate the researchers to overcome the drawbacks with new proposed methods using wavelet transformation with sample data control and fuzzy logic controller. The wavelet transformation is used to diagnose the fault type but contribute lesser for fault termination; due to that, sample data of different signals are collected at different frequencies. Further, the analysis of collected sample data is assessed by using Z-transformation and fuzzy logic controller for fault termination. The stability, total harmonic distortion and convergence rate of collected sample data among all three methods (wavelet transformation, Z-transformation and fuzzy logic controller) are compared for fault termination by using linear regression analysis. The complete performance of fault diagnosis along with fault termination has been analyzed on Simulink. It is observed that after fault injection at power transformer, fault recovers faster under fuzzy logic controller in comparison with Z-transformation followed by wavelet transformation due to higher stability, less total harmonic distortion and faster convergence.

Transient Phenomena during the Three-Phase 300MVA Transformer Energization on the Transmission Network

2016 ◽  
Vol 6 (6) ◽  
pp. 2499
Author(s):  
Emir Alibašić ◽  
Predrag Marić ◽  
Srete N Nikolovski
Keyword(s):  
Negative Impact ◽  
Time Moment ◽  
Inrush Current ◽  
Transient Phenomena ◽  
Transformer Protection ◽  
Voltage Drops ◽  
Large Current ◽  
Saturation Region ◽  
Three Phase ◽  
Transformer Core

<p>Connecting the transformer to the network may incur inrush current, which is significantly higher than the rated current of the transformer. The main cause of this phenomenon lies in the nonlinearity of the magnetic circuit. The value of the inrush current depends of the time moment of the energization and the residual magnetism in the transformer core. While connecting, the operating point of the magnetization characteristic can be found deep in the saturation region resulting in occurrence of large transformer currents that can trigger the transformer protection. Tripping of protection immediately after the transformer energization raises doubts about the transformer health. Inrush current can cause a number of other disadvantages such as the negative impact on other transformers connected on the same busbar; the increase of the transformer noise due to the large current value, the increase of the voltage drops in the network. The paper presents a simulation of the 300 MVA transformer energization using the MATLAB/Simulink software.</p><p> </p><p> </p>

Phenomena Analysis of Ferroresonance and Self-Excitation in Subsea Power Systems

2020 ◽  
Author(s):  
Diego De S. de Oliveira ◽  
Gustavo Cezimbra B. Leal ◽  
João Adolpho V. da Costa ◽  
Emanuel L. van Emmerik ◽  
Mauricio Aredes
Keyword(s):  
Power Systems ◽  
Distribution System ◽  
Power Transformer ◽  
Induction Machines ◽  
Synchronous Generators ◽  
Power Electronic Converters ◽  
Three Phase ◽  
Electrical Loads ◽  
Umbilical Cable ◽  
Base Network

This article addresses the study regarding the emergence of ferroresonance and selfexcitation phenomena in Subsea Power Systems - SPS, composed essentially of synchronous generators installed on a platform (Topside), a three-phase umbilical cable and the electrical loads, the latter constituted by induction machines located on the seabed and connected to the umbilical through a power transformer and power electronic converters. Such phenomena are conceptually stated and characterized in the scope of SPS and the simulations are carried out in the PSCAD/EMTDC software, in its parallel processing environment, to verify indications of the existence of problems in the base network of the subsea distribution system.

A New Algorithm for Three-Phase Power Transformer Differential Protection Considering Effect of Ultra-Saturation Phenomenon Based on Discrete Wavelet Transform

2018 ◽  
Vol 20 (1) ◽  
Author(s):  
Bahram Noshad
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Power Transformer ◽  
Discrete Wavelet ◽  
Inrush Current ◽  
Differential Protection ◽  
Inductive Load ◽  
Saturation Phenomenon ◽  
Three Phase ◽  
Transformer Differential Protection

Abstract One of transient phenomena that lead to the false trip of the power transformer differential protection during the energization of a loaded power transformer is the ultra-saturation phenomenon. This paper presents, at first, a new algorithm for three-phase power transformer differential protection considering effect of the ultra-saturation phenomenon based on Discrete Wavelet Transform (DWT). To model the ultra-saturation phenomenon, the nonlinear characteristic of the transformer core and the effect of the saturation of the current transformers are taken into account. It is assumed that the load of the transformer is a resistive and inductive load. In this algorithm, the ultra-saturation phenomenon, the external and internal faults of power transformer and the magnetic inrush current are simulated. To distinguish between these phenomena, appropriate criteria using DWT by the use of standard deviation of coefficients are presented. Also, one of the most important criteria for the digital relays is the time for making a decision. Thus, to determine the time of decision, the experimental results will be presented.

scholarly journals Studi Analisa Pengaruh Total Harmonic Distortion (THD) terhadap Rugi-Rugi, Efisiensi, dan Kapasitas Kerja Transformator pada Penyulang Kerobokan

2019 ◽  
Vol 6 (2) ◽  
pp. 121
Author(s):  
I Putu Adi Wirajaya ◽  
I Wayan Rinas ◽  
I Wayan Sukerayasa
Keyword(s):  
Power System ◽  
Measurement Method ◽  
Harmonic Distortion ◽  
Electrical Energy ◽  
Work Capacity ◽  
Total Power ◽  
Power Losses ◽  
Distribution Transformers ◽  
Direct Measurement Method ◽  
Electrical Loads

Kerobokan feeder supply electrical energy in the area of Kerobokan. This feeder supplies 67 distribution transformers that serve a variety of customers with nonlinier electrical loads. Nonlinier electrical loads cause harmonics which adversely affect customers and power system equipment, especially distribution transformers. In Kerobokan feeder, only 3 (4.5%) of the 67 transformers has THDi content that according with the IEEE 519-2014 standard and 64 (95.5%) of the 67 transformers has a high THDi content and exceed the IEEE 519-2014 standard. For this reason, the power losses, efficiency, and work capacity of the transformer are analyzed due to the effect of THDi. This study uses a direct measurement method in all transformers in the Kerobokan feeder and simulation on the ETAP Powerstation program. The results of the analysis showed that total power losses without being affected by THDi for all transformers were 49.4 kW and after being affected by THDi were 591.71 kW. The highest THDi content is in the KA 0992 transformer is 24.8% which results in an increased in power losses is 12.02 kW or 12.02% of its capacity and a decreased in efficiency is 12.66% and has a decreased in work capacity is 19.9%. While the smallest THDi content is found in the DB 449 transformer is 6.8% which results in an increased in power losses is 2.2 kW or 0.88% of its capacity and a decreased efficiency is 1.01% and has a decreased in work capacity is 2.7%.

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