Simulation Design of Transformer Differential Protection Based on Mat Lab

2013 ◽  
Vol 722 ◽  
pp. 282-286
Author(s):  
Hong Hua He

The microprocessor-relay protection device has gradually replaced regular simulation relay protection it is also difficult to visually determine protection device malfunction or tripping. Therefore, the use of the Mat lab toolbox to build transformer differential protection simulation model, the simulation results show that two-line ratio brake can correctly identify internal fault current, and rapidly remove fault, and the system also can provide convenient for microprocessor transformer protection.

2014 ◽  
Vol 960-961 ◽  
pp. 995-999
Author(s):  
Wei Cai ◽  
Lin Sun ◽  
Hua Ren Wu

This paper establishes a simulation model of a simplified power system with transformer differential protection based on an embedded Matlab function block. The differential protection consists of percentage restraint differential protection, second harmonic restraint, differential current instantaneous trip protection and over-excitation protection. The model is able to correctly simulate the transformer’s inrush current and internal and external faults. The results from the simulation show that the circuit breaker correctly operates for a transformer internal fault and provides a good braking effect for an external fault. In addition, the protection model is able to identify the inrush current of the transformer and avoid a protection mis-trip event.


2012 ◽  
Vol 229-231 ◽  
pp. 863-867
Author(s):  
Mao Fa Gong ◽  
Wen Hua Xia ◽  
Guo Liang Li ◽  
Xing Zhen Bai ◽  
Lan Bing Li

Sympathetic inrush may cause the mal-operation of differential protection. Aiming at this problem, based on the characteristic that sympathetic inrush contains a lot of aperiodic component and high harmonics, this paper proposes to use Hilbert Huang transform to identify sympathetic inrush. Firstly, the mathematical model of sympathetic inrush is established to analyze its characteristic. Then Hilbert transform is used to obtain harmonic contents of sympathetic inrush and internal fault current. According to the proportion of fundamental to current, sympathetic current can be identified and differential protection can be blocked. The simulation results show that this method has better reliability and sensitivity than the second harmonic restraint scheme. Besides, it has a good ability against TA saturation.


2014 ◽  
Vol 1021 ◽  
pp. 181-185
Author(s):  
Bing Shen ◽  
Hong Zhi Zhang ◽  
Xin Yi Jiang ◽  
Guo Shun Xu

In order to ensure the safe operation of the ship in the medium-voltage grid, transformer protection is particularly important. Using Matlab/Simulink, this paper established transformer and its differential protection simulation model of the medium-voltage ship. To achieve differential protection function, this paper uses the M-file to program the differential protection S-function. The simulation results indicate that the differential protection models can achieve their protection functions and have better quick-acting and stability.


2021 ◽  
Vol 16 ◽  
pp. 308-315
Author(s):  
Ziyad S. Almajali

or successful transformer differential protection employment, correct discrimination between inrush current and fault current is essential. It is one of the main focuses of research and one of the main challenges for transformer protection. In this paper, a discrimination method based on utilizing chromatic monitoring of the box dimension algorithm outcome curve for transformer differential current in time-domain analysis is proposed. The x-L chromatic mapping is employed for general detection of fault cases, while the x-y chromatic mapping result is used for distinguishing inrush current from the fault current cycles. The preliminary results show that the proposed method can effectively provide correct discrimination of the current type within quite a short time and thus help in providing efficient decision-making supportive protection tool.


2017 ◽  
Vol 2017 ◽  
pp. 1-6
Author(s):  
Maofa Gong ◽  
Ran Zheng ◽  
Linyuan Hou ◽  
Jingyu Wei ◽  
Na Wu

Magnetizing inrush current can lead to the maloperation of transformer differential protection. To overcome such an issue, a method is proposed to distinguish inrush current from inner fault current based on box dimension. According to the fundamental difference in waveform between the two, the algorithm can extract the three-phase current and calculate its box dimensions. If the box dimension value is smaller than the setting value, it is the inrush current; otherwise, it is inner fault current. Using PSACD and MATLAB, the simulation has been performed to prove the efficiency reliability of the presented algorithm in distinguishing inrush current and fault current.


2012 ◽  
Vol 241-244 ◽  
pp. 389-395
Author(s):  
Tian Min Wang ◽  
Bo Gao

Based on the analysis of a 110kV digital substation main transformer differential protection action situation,pointing out that the malfunction cause of the trip, give out the improvement program,improve the understanding of the GPS in the digital,and recognize the the importance of intelligent substation.Provides a theoretical and application for the proper preparation of the same type of protection device,thus effectively avoid the protection device in the series malfunction again.


Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4693
Author(s):  
Daniel Bejmert ◽  
Klaus Boehme ◽  
Matthias Kereit ◽  
Waldemar Rebizant

This paper presents the results of research related to the issues arising from DC excitation of power transformers due to geomagnetically induced currents (GIC). First, the GIC phenomena and their influence on power system operation are discussed. Then, a recorded case of tripping of the transformer differential protection due to geomagnetic disturbances (GD), as well as simulation signals from a developed model of a transformer subjected to a GD are analyzed. Next, two algorithms for GIC detection utilizing the rate of change of transformer differential currents and the DC component in the neutral current are proposed, thoroughly tested, and recommended.


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