scholarly journals Design of RLC Circuit Parameter and Fault Location Test Device

2021 ◽  
Vol 2085 (1) ◽  
pp. 012003
Author(s):  
Zihao Wang ◽  
Rui Wang ◽  
Kaiyu Wang
Keyword(s):  
Network Structure ◽  
Fault Location ◽  
Analog Circuit ◽  
Short Circuit ◽  
Impedance Analysis ◽  
Signal Acquisition ◽  
Circuit Parameter ◽  
Point Position ◽  
Rlc Circuit ◽  
Load Network

Abstract In order to improve the quality and performance of electronic equipment, circuit parameters and fault detection technology are also very important. The impedance value, which differs obviously under different input signals in the analog circuit, is also an important parameter. Through the analysis of this parameter, RLC circuit parameters and fault location detection can be realized. In this paper, STM32 is used as the main controller to control the signal source to generate sinusoidal signal. The signal processing is completed by designing the amplifier module, and the signal acquisition is completed by the digital to analog conversion module. In the controller, the impedance analysis, the measurement of component parameters, the detection of load network structure and the measurement of short-circuit point position are completed. Finally, the designed system was used to test different structural loads, and the detection results of component parameters, load network structure and short-circuit point position are accurate and reliable.

Short-Circuit Fault Location Interval Recognition Criteria in Electrical System

2019 ◽  
Vol 11 ◽  
pp. 33-39
Author(s):  
Yury Ya. LYAMETS ◽  
◽  
Mikhail V. MARTYNOV ◽  
Alexander N. MASLOV ◽  
◽  
...  
Keyword(s):  
Fault Location ◽  
Short Circuit ◽  
Electrical System ◽  
Short Circuit Fault

Line–Line Fault Analysis and Protection Challenges in Solar Photovoltaic Arrays

2013 ◽  
Vol 60 (9) ◽  
pp. 3784-3795 ◽  
Author(s):  
Ye Zhao ◽  
Jean-Francois De Palma ◽  
Jerry Mosesian ◽  
Robert Lyons ◽  
Brad Lehman
Keyword(s):  
Fault Location ◽  
Short Circuit ◽  
Fault Analysis ◽  
Small Scale ◽  
Solar Photovoltaic ◽  
Pv System ◽  
Safety Hazards ◽  
Point Tracking ◽  
Pv Inverter ◽  
Power Point

Fault analysis in solar photovoltaic (PV) arrays is a fundamental task to protect PV modules from damage and to eliminate risks of safety hazards. This paper focuses on line-line faults in PV arrays that may be caused by short-circuit faults or double ground faults. The effect on fault current from a maximum-power-point tracking of a PV inverter is discussed and shown to, at times, prevent overcurrent protection devices (OCPDs) to operate properly. Furthermore, fault behavior of PV arrays is highly related to the fault location, fault impedance, irradiance level, and use of blocking diodes. Particularly, this paper examines the challenges to OCPD in a PV array brought by unique faults: One is a fault that occurs under low-irradiance conditions, and the other is a fault that occurs at night and evolves during “night-to-day” transition. In both circumstances, the faults might remain hidden in the PV system, no matter how irradiance changes afterward. These unique faults may subsequently lead to unexpected safety hazards, reduced system efficiency, and reduced reliability. A small-scale experimental PV system has been developed to further validate the conclusions.

A Fault Location Method in Distribution Network Based on Firefly Algorithm

2014 ◽  
Vol 971-973 ◽  
pp. 1463-1466
Author(s):  
Qian Wang ◽  
Wei Huang
Keyword(s):  
Mathematical Model ◽  
Firefly Algorithm ◽  
Fault Location ◽  
Short Circuit ◽  
Distribution Network ◽  
Convergence Criterion ◽  
Information Distortion ◽  
Location Method ◽  
Network Fault ◽  
The Impact

In the distribution network fault location, the impact of information distortion needs to be to focus on, especially when the short-circuit current is used as the fault information. Considering the distortion or failure of real-time information and other issues, the quick location method of the failure point in distribution network is analyzed. Based on the mathematical model of distribution network fault location, firefly algorithm is applied. According to the characteristics of fault location objective function in distribution network, convergence criterion is proposed, which is suitable for fault location mathematical model.

Fault Location of Transmission Line Based on Discrete Wavelet Transforms

2011 ◽  
Vol 121-126 ◽  
pp. 1269-1273
Author(s):  
Wen Xiu Tang ◽  
Mo Zhang ◽  
Ying Liu ◽  
Xu Fei Lang ◽  
Liang Kuan Zhu
Keyword(s):  
Transmission Line ◽  
Transmission Lines ◽  
Wavelet Transforms ◽  
Fault Location ◽  
Short Circuit ◽  
Signal Transmission ◽  
Transient Signal ◽  
Discrete Wavelet ◽  
Novel Method ◽  
Non Stationary Signal

In this paper, a novel method is investigated to detect short-circuit fault signal transmission lines in strong noise environment based on discrete wavelet transform theory. Simulation results show that the method can accurately determine the fault position, can effectively analyze the non-stationary signal and be suitable for transmission line fault occurred after transient signal detection. Furthermore, it can effectively eliminate noise effects of fault signal so as to realize the transmission lines of accurate fault.

scholarly journals Short Circuit Faults Identification and Localization in IEEE 34 Nodes Distribution Feeder Based on the Theory of Wavelets

2018 ◽  
Vol 14 (1) ◽  
pp. 65-79
Author(s):  
Sara Authafa
Keyword(s):  
Fault Location ◽  
Short Circuit ◽  
Circuit Breaker ◽  
Discrete Wavelet ◽  
Detection Scheme ◽  
Protection Scheme ◽  
System Protection ◽  
Fault Type ◽  
Distribution Feeder ◽  
System States

In this paper a radial distribution feeder protection scheme against short circuit faults is introduced. It is based on utilizing the substation measured current signals in detecting faults and obtaining useful information about their types and locations. In order to facilitate important measurement signals features extraction such that better diagnosis of faults can be achieved, the discrete wavelet transform is exploited. The captured features are then utilized in detecting, identifying the faulted phases (fault type), and fault location. In case of a fault occurrence, the detection scheme will make a decision to trip out a circuit breaker residing at the feeder mains. This decision is made based on a criteria that is set to distinguish between the various system states in a reliable and accurate manner. After that, the fault type and location are predicted making use of the cascade forward neural networks learning and generalization capabilities. Useful information about the fault location can be obtained provided that the fault distance from source, as well as whether it resides on the main feeder or on one of the laterals can be predicted. By testing the functionality of the proposed scheme, it is found that the detection of faults is done fastly and reliably from the view point of power system protection relaying requirements. It also proves to overcome the complexities provided by the feeder structure to the accuracy of the identification process of fault types and locations. All the simulations and analysis are performed utilizing MATLAB R2016b version software package.

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