Study on Dynamic Simulation of 4-Bundle Ice-Coated Conductor Galloping Based on 3-D Model

2011 ◽  
Vol 105-107 ◽  
pp. 474-477
Author(s):  
Shi Jing Wu ◽  
Zeng Lei Zhang ◽  
Zhen Hao Liu ◽  
Ji Cai Hu
Keyword(s):  
Transmission Lines ◽  
Power Transmission ◽  
Low Frequency ◽  
Element Model ◽  
Wake Flow ◽  
Power Transmission Lines ◽  
Ansys Software ◽  
Frequency Coupling ◽  
D Model ◽  
The Finite Element Model

Galloping of power transmission lines is a low frequency self-oscillation with large amplitude. The aerodynamic effect on each sub-conductor of 4-bundle conductor is different due to wake-flow-influence. In order to explore the reasons leading to galloping, a 3-D model for power transmission line is built. A two-node quadratic beam element in 3-D and a structure mass element are applied to establish the finite element model of iced 4-bundle conductor in ANSYS software. Then dynamic transient response calculations are made on this model. According to the results, difference in vibration of sub-conductors and frequency coupling of torsional and transverse vibration can be confirmed. The simulation results illustrate the wake-flow-influence effect and the coupled motions effect on galloping of 4-bundle conductor.

scholarly journals CALCULATION OF POWER LINE FIELDS BETWEEN CIRCULAR CONDUCTORS

2012 ◽  
Vol 04 (01) ◽  
pp. 1250025
Author(s):  
ANDREW SEAGAR ◽  
SALAKCHIT NILBOWORN
Keyword(s):  
Electric Field ◽  
Transmission Lines ◽  
Power Transmission ◽  
Circular Cross Section ◽  
Low Frequency ◽  
Test Cases ◽  
Power Transmission Lines ◽  
System Matrix ◽  
High Voltage Direct Current ◽  
Frequency Components

It is important to calculate the electric field at the surface of high voltage direct current power transmission lines, since it is this field which governs the onset of corona discharge and the power loss arising therefrom. A method is presented here to calculate the electric field based on an implementation of the boundary element method for conductors of strictly circular cross section. Given the circular geometry it is possible to resolve all integrals involved analytically. A Galerkin approach is adopted, giving the solution in the spatial frequency domain. That allows a controlled truncation of the system matrix by choice of which frequency components to keep. It transpires that the low frequency components are the most important ones. Two test cases are used to quantify the accuracy of the solution with respect to truncation and distance from the surface. It is found that the accuracy increases with distance from the surface, but for all distances can be controlled by choosing an appropriate level of truncation.

ESTIMATION OF THERMAL POWER PLANT WORKERS EXPOSURE TO MAGNETIC FIELDS AND SIMULATION OF HAZARD ZONES

2020 ◽  
Vol 190 (3) ◽  
pp. 289-296
Author(s):  
Majid Bagheri Hosseinabadi ◽  
Narges Khanjani ◽  
Mohammad Hossein Ebrahimi ◽  
Jamal Biganeh
Keyword(s):  
Power Plant ◽  
Magnetic Fields ◽  
Transmission Lines ◽  
Thermal Power Plant ◽  
Power Transmission ◽  
Thermal Power ◽  
Low Frequency ◽  
Exposure Level ◽  
Power Transmission Lines ◽  
Indoor Space

Abstract Extremely low-frequency magnetic fields (ELF-MFs) have raised some concerns due to their possible effects on workers’ health. In this study ELF-MFs were measured in different units of the thermal power plant based on gridding the indoor space. The exposure level was measured by spot measurement based on the IEEE Std C95.3.1 and then simulated in units with the highest magnetic field intensity by using ArcGIS software. The operators and balance of plant (BOP) technicians (12.64 ± 9.74 μT) and office workers (2.41 ± 1.22 μT) had the highest and lowest levels of both measured and estimated ELF-MFs exposure. The highest measured ELF-MFs were in the vicinity of the power transmission lines in the transformers’ building (48.2 μT). Our simulation showed the high and low exposure areas and ranked exposure well; but, the actual measurements of ELF-MFs exposure were in all cases higher than the estimated values, which means we still need to improve our estimations.

scholarly journals Research on Temperature Monitoring Method of Cable on 10 kV Railway Power Transmission Lines Based on Distributed Temperature Sensor

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3705
Author(s):  
Kai Chen ◽  
Yi Yue ◽  
Yuejin Tang
Keyword(s):  
Transmission Lines ◽  
Temperature Sensor ◽  
Power Transmission ◽  
Element Model ◽  
Power Cable ◽  
Operational Experience ◽  
Power Cables ◽  
Power Transmission Lines ◽  
Monitoring Method ◽  
On Line

Railway power transmission lines (RPTL) are power lines that provide nontraction power supply for railways, such as communications and signals along the railway. With the advancement of technology, power cables are being used more and more widely. Operational experience has shown that during the operation of power cables, abnormal heat is often caused by fault factors such as poor joint crimping and severe partial discharge caused by insulation defects, leading to cable burns in extreme cases. Distributed temperature sensors (DTS), a kind of spatial continuous temperature sensor using sensing optical fiber, can measure the temperature along the cable and are expected to realize on-line monitoring and positioning of cable heating faults. This paper first builds a finite element model of the cable under various faults to calculate the distribution characteristics of the temperature field of the faulty cable. Then the results are verified through experiments with the external sensing fiber and the artificially manufactured heating points of the cable. The conclusions show that it is feasible to use a distributed sensing fiber to monitor and locate the heating fault of power cable.

scholarly journals Hybrid Pattern Recognition and Multi-resolution Analysis (MRA) Based Fault Location in Power Transmission Lines

2019 ◽  
pp. 1-14
Author(s):  
Jude I. Aneke ◽  
O. A. Ezechukwu ◽  
P. I. Tagboh
Keyword(s):  
Neural Network ◽  
Pattern Recognition ◽  
Transmission Lines ◽  
High Frequency ◽  
Fault Location ◽  
Power Transmission ◽  
Low Frequency ◽  
Power Transmission Lines ◽  
Multi Resolution Analysis ◽  
Resolution Analysis

This paper proposes a fault (line-to-line) location on Ikeja West – Benin 330kV electric power transmission lines using wavelet multi-resolution analysis and neural networks pattern recognition abilities. Three-phase line-to-line current and voltage waveforms measured during the occurrence of a fault in the power transmission-line were pre-processed first and then decomposed using wavelet multi-resolution analysis to obtain the high-frequency details and low-frequency approximations. The patterns formed based on high-frequency signal components were arranged as inputs of the neural network, whose task is to indicate the occurrence of a fault on the lines. The patterns formed using low-frequency approximations were arranged as inputs of the second neural network, whose task is to indicate the exact fault type. The new method uses both low and high-frequency information of the fault signal to achieve an exact location of the fault. The neural network was trained to recognize patterns, classify data and forecast future events. Feed forward networks have been employed along with back propagation algorithm for each of the three phases in the Fault location process. An analysis of the learning and generalization characteristics of elements in power system was carried using Neural Network toolbox in MATLAB/SIMULINK environment. Simulation results obtained demonstrate that neural network pattern recognition and wavelet multi-resolution analysis approach are efficient in identifying and locating faults on transmission lines as the average percentage error in fault location was just 0.1386%. This showed that satisfactory performance was achieved especially when compared to the conventional methods such as impedance and travelling wave methods.

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