Circuit Breaker Arc Fault Detection Based on Fault Recording Data in HVDC Converter Station

2020 ◽  
Author(s):  
Bin Wang ◽  
Xinzhou Dong ◽  
Bin Yu ◽  
Min Xie ◽  
Haigang Wang
Keyword(s):  
Fault Detection ◽  
Circuit Breaker ◽  
Fault Recording

RNN-based Fault Detection Method for MMC Photovoltaic Grid-connected System

2021 ◽  
Vol 14 ◽  
Author(s):  
Yuqi Pang ◽  
Gang Ma ◽  
Xiaotian Xu ◽  
Xunyu Liu ◽  
Xinyuan Zhang
Keyword(s):  
Fault Detection ◽  
Detection Method ◽  
Circuit Breaker ◽  
Detection Methods ◽  
Multilevel Converters ◽  
Modular Multilevel Converters ◽  
Dc Circuit Breaker ◽  
Linear Elements ◽  
Hidden Layer ◽  
Analytical Expressions

Background: Fast and reliable fault detection methods are the main technical challenges faced by photovoltaic grid-connected systems through modular multilevel converters (MMC) during the development. Objective: Existing fault detection methods have many problems, such as the inability of non-linear elements to form accurate analytical expressions, the difficulty of setting protection thresholds and the long detection time. Method: Aiming at the problems above, this paper proposes a rapid fault detection method for photovoltaic grid-connected systems based on Recurrent Neural Network (RNN). Results: The phase-to-mode transformation is used to extract the fault feature quantity to get the RNN input data. The hidden layer unit of the RNN is trained through a large amount of simulation data, and the opening instruction is given to the DC circuit breaker. Conclusion: The simulation verification results show that the proposed fault detection method has the advantage of faster detection speed without difficulties in setting and complicated calculation.

Electric Discharges Localization for Substation Fault Monitoring Using Two Elements Sensor

2020 ◽  
Vol 17 (2) ◽  
pp. 1009-1013
Author(s):  
Lorothy Morrison Buah Singkang ◽  
Kismet Anak Hong Ping ◽  
P. R. P. Hoole
Keyword(s):  
Fault Detection ◽  
Power Transformer ◽  
Circuit Breaker ◽  
Electric Power System ◽  
Array Antenna ◽  
Electric Discharges ◽  
Localization Accuracy ◽  
Fault Monitoring ◽  
Electromagnetic Signals ◽  
Element Array

A substation is an important unit in the electric power system. Thus, the monitoring process must be carried out effectively to detect the operation status of the equipment, and pre-fault threat detection is necessary for safe operation. Many methods and intelligent techniques have been developed to provide a better way of fault detection. However, power authorities unwilling to adopt those techniques due to the high cost of installation and more sensors required to improve localization accuracy. Therefore, to reduce cost and increase the speed of detection, this paper presents a 2-element array antenna acted like a sensor to detect and localize the electric discharges from abnormal radiated electromagnetic activities in the substation based on the direction of arriving angle (DOA) received by the array antenna. Software implemented signal processor was used to obtain the radiation patterns for different value of DOA relative to the normalized Array Factor (AFN). This 2-element Sensor was proven to eliminate the undesired signals (such as electromagnetic signals from outside the substation) and maximize the signals in the direction of the desired signal by detecting the DOA of abnormal radiation from power apparatus (such as power transformer or circuit breaker bushings) inside the substation. It was proven that this cohesive unit was able to perform the two tasks by simultaneously eliminating or maximizing signals with very small (such as 0.0873 radians) angle difference between external radiation and radiation from apparatus inside the substation. By performing these tasks, the 2-element Sensor was promisingly able to detect and localize the abnormal electrical activities such as Electric Corona and Electric Arcs discharges that may occur in any substation based on the identified DOA from the power apparatus within the substation as a preventative approach for substation breakdown and to improve the efficiency and the performance of fault detection technique in future Substation Fault Monitoring.

A Model-Based Fault Detection Methodology for Vacuum Circuit Breaker

2013 ◽  
Vol 321-324 ◽  
pp. 739-742
Author(s):  
Yu Huang Zheng
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Dynamic Model ◽  
Test Data ◽  
High Speed ◽  
Circuit Breaker ◽  
Theoretical Data ◽  
Experimental Results ◽  
Model Based ◽  
Vacuum Circuit Breaker

Vacuum circuit breaker becomes more and more complicated, integrated, high-speed and intellectualized. To insure vacuum circuit breaker in its good conditions, the function of fault diagnosis gets more important than before in the process of repairing. This paper is addressed a model-based fault detection methodology for vacuum circuit breaker. At first, the dynamic model of vacuum circuit breaker is built. Secondly, DTW algorithm is introduced to compute the similarity value between the test data and the theoretical data. At last, the value comparison between the similarity and the threshold concludes whether a fault has occurred or the vacuum circuit breaker has potential hazardous effects. The experimental results show that this method is effective.

scholarly journals An Adaptive Protection for Radial AC Microgrid Using IEC 61850 Communication Standard: Algorithm Proposal Using Offline Simulations

Energies ◽  
2020 ◽  
Vol 13 (20) ◽  
pp. 5316
Author(s):  
Aushiq Ali Memon ◽  
Kimmo Kauhaniemi
Keyword(s):  
Fault Detection ◽  
Reactive Power ◽  
Low Voltage ◽  
Circuit Breaker ◽  
Iec 61850 ◽  
Overcurrent Protection ◽  
Adaptive Protection ◽  
Power Substation ◽  
Communication Standard ◽  
Ac Microgrid

The IEC 61850 communication standard is getting popular for application in electric power substation automation. This paper focuses on the potential application of the IEC 61850 generic object-oriented substation event (GOOSE) protocol in the AC microgrid for adaptive protection. The focus of the paper is to utilize the existing low-voltage ride through characteristic of distributed generators (DGs) with a reactive power supply during faults and communication between intelligent electronic devices (IEDs) at different locations for adaptive overcurrent protection. The adaptive overcurrent IEDs detect the faults with two different preplanned settings groups: lower settings for the islanded mode and higher settings for the grid-connected mode considering limited fault contributions from the converter-based DGs. Setting groups are changed to lower values quickly using the circuit breaker status signal (XCBR) after loss-of-mains, loss-of-DG or islanding is detected. The methods of fault detection and isolation for two different kinds of communication-based IEDs (adaptive/nonadaptive) are explained for three-phase faults at two different locations. The communication-based IEDs take decisions in a decentralized manner, using information about the circuit breaker status, fault detection and current magnitude comparison signals obtained from other IEDs. However, the developed algorithm can also be implemented with the centralized system. An adaptive overcurrent protection algorithm was evaluated with PSCAD (Power Systems Computer Aided Design) simulations, and results were found to be effective for the considered fault cases.

scholarly journals Decentralized Plug-and-Play Protection Scheme for Low Voltage DC Grids

Energies ◽  
2020 ◽  
Vol 13 (12) ◽  
pp. 3167
Author(s):  
Nils H. van der Blij ◽  
Pavel Purgat ◽  
Thiago B. Soeiro ◽  
Laura M. Ramirez-Elizondo ◽  
Matthijs T. J. Spaan ◽  
...  
Keyword(s):  
Solid State ◽  
Fault Detection ◽  
Low Voltage ◽  
Circuit Breaker ◽  
Circuit Breakers ◽  
Plug And Play ◽  
Zero Crossing ◽  
Protection Scheme ◽  
Selective Protection ◽  
Solid State Circuit Breaker

Since the voltages and currents in dc grids do not have a natural zero-crossing, the protection of these grids is more challenging than the protection of conventional ac grids. Literature presents several unit and non-unit protection schemes that rely on communication, or knowledge about the system’s topology and parameters in order to achieve selective protection in these grids. However, communication complicates fast fault detection and interruption, and a system’s parameters are subject to uncertainty and change. This paper demonstrates that, in low voltage dc grids, faults propagate fast through the grid and interrupted inductive currents commutate to non-faulted sections of the grid, which both can cause circuit breakers in non-faulted sections to trip. A decentralized plug-and-play protection scheme is proposed that ensures selectivity via an augmented solid-state circuit breaker topology and by utilizing the proposed time-current characteristic. It is experimentally shown that the proposed scheme provides secure and selective fault interruption for radial and meshed low voltage dc grids under various conditions.

Hybrid Circuit Breaker-based Fault Detection and Interruption in 380V DC Test-setup

2018 ◽  
Author(s):  
Christoph Klosinski ◽  
Dirk Bosche ◽  
Patrick Ross ◽  
G. A. Nasser Hemdan ◽  
Michael Kurrat ◽  
...  
Keyword(s):  
Fault Detection ◽  
Circuit Breaker ◽  
Test Setup ◽  
Hybrid Circuit

scholarly journals Fast Fault Detection and Current Limiting Strategy of HVDC Circuit Breaker

2018 ◽  
Vol 394 ◽  
pp. 042107
Author(s):  
Wei Li ◽  
Xueguang Wu ◽  
Dong Liu ◽  
Bin Chang ◽  
Le Zou
Keyword(s):  
Fault Detection ◽  
Circuit Breaker ◽  
Current Limiting
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