New Identification Method for Power Transformer and Phase in Distribution Systems

2018 ◽  
Vol 878 ◽  
pp. 291-295 ◽  
Author(s):  
Hee Jung Byun ◽  
Yan Pung Zheng ◽  
Sang Jun Choi ◽  
Su Goog Shon
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Power Transformer ◽  
Data Communication ◽  
Identification System ◽  
Phase Identification ◽  
High Frequency Signal ◽  
Identification Method ◽  
Distribution Lines ◽  
Signal Injection

In city, identification for 3 phase-4 wires power distribution lines is difficult due to compound installation of overhead and underground lines, transposition, bad view caused by trees or big buildings. It is necessary that the correct and fast identification method is required for load balancing among distribution lines. Tracing off-line method with high power impulse signal injection has been used recently. Our proposed method uses to identify live lines with very small power high frequency signal injection based on data communication technology. Two end communication terminals are required to be synchronized between them for determination on electrically same phases. Challenging issue is to achieve synchronization without GPS providing synchronizing time. A novel power transformer and phase identification system is designed and implemented. The system consists of a transmitter and a receiver with power-line communication module. Some experiments are conducted to verify the theoretical concepts in a big commercial building.

Experimental studies of a phase identification system for distribution systems

2010 ◽  
Author(s):  
Thomas Dunmore ◽  
Eric Jaffe ◽  
Sean Kennedy ◽  
Dhruv M. Patel ◽  
Preet Soni ◽  
...  
Keyword(s):  
Distribution Systems ◽  
Experimental Studies ◽  
Identification System ◽  
Phase Identification

scholarly journals Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

2021 ◽  
Author(s):  
Nicholas Zaragoza ◽  
Vittal Rao
Keyword(s):  
Singular Value Decomposition ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Time Series Data ◽  
Singular Value ◽  
Identification Accuracy ◽  
Series Data ◽  
Phase Identification ◽  
Value Decomposition

Phase identification is the problem of determining what phase(s) that a load is connected to in a power distribution<br>system. However, real world sensor measurements used for phase identification have some level of noise that can hamper the ability to identify phase connections using data driven methods. Knowing the phase connections is important to keep the distribution system balanced so that parts of the system aren’t overloaded which can lead to inefficient operations, accelerated component degradation, and system destruction at worst. We use Singular Value Decomposition (SVD) with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements. This approach results in a reduction in frobenius error and an increase in average phase identification accuracy over a year of time series data. K-medoids clustering is used on the denoised voltage magnitude measurements to perform phase identification.<br>

Seismic Performance Assessment of an Ultra-High–Voltage Power Transformer

2019 ◽  
Vol 35 (1) ◽  
pp. 423-445 ◽  
Author(s):  
Guo-Liang Ma ◽  
Qiang Xie ◽  
Andrew Whittaker
Keyword(s):  
Seismic Performance ◽  
High Voltage ◽  
Power Distribution ◽  
Distribution Systems ◽  
Power Transformer ◽  
Active Regions ◽  
Power Grids ◽  
Power Distribution Systems ◽  
Seismic Performance Assessment ◽  
Ultra High Voltage

Ultra-high–voltage (UHV) power distribution systems are seeing increased use in the seismically active regions of developing world, including China, as backbone power grids are being built out over long distances. This paper presents a study of the seismic performance of a UHV power transformer. Construction details for a typical Chinese UHV power transformer are described. The seismic behavior of the UHV power transformer is evaluated numerically, including calculation of modal properties and response to design basis earthquake shaking. The amplification of ground motion to the points of attachment of the seismically vulnerable transformer bushings is characterized. Alternative configurations for the sidewall-mounted turrets are investigated to mitigate the dynamic response of the 1,100-kV bushing.

scholarly journals Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

2021 ◽  
Author(s):  
Nicholas Zaragoza ◽  
Vittal Rao
Keyword(s):  
Singular Value Decomposition ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Singular Value ◽  
Identification Accuracy ◽  
Series Data ◽  
Phase Identification ◽  
Power Distribution System ◽  
Value Decomposition

Phase identification is the problem of determining what phase(s) that a load is connected to in a power distribution system. However, real-world sensor measurements used for phase identification have some level of noise that can hamper the ability to identify phase connections using data-driven methods. Knowing the phase connections is important to keep the distribution system balanced so that parts of the system are not overloaded, which can lead to inefficient operations, accelerated component degradation, and system destruction at worst. We use Singular Value Decomposition (SVD) with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements. This approach reduces Frobenius error and increases the average phase identification accuracy over a year of time series data. K- medoids clustering is used on the denoised voltage magnitude measurements to perform phase identification.<br><br>

Strategy for Mitigating AC Voltage on Light Rail Systems’ Interactions With Utility AC Power Distribution Systems

2015 ◽  
Author(s):  
Manjit Singh Khalsa ◽  
Krishan Sabherwal
Keyword(s):  
Power Distribution ◽  
Distribution Systems ◽  
Light Rail ◽  
Power Distribution Systems ◽  
Distribution Lines ◽  
The Earth ◽  
Rail Systems ◽  
Ac Power ◽  
Power Substation ◽  
Traction Power

Light rail systems interact with utility AC power distribution systems in many areas where running rails run parallel to the utility AC power transmission and distribution lines. This interaction may produce a 60Hz voltage on the running rail relative to the earth, adjacent to that the running rail. Since the running rails on modern systems are reasonably well isolated, this can result in potentials that can cause significant AC voltage on the rail that can cause instrumentation problems and personnel safety issues working on right-of-way (ROW). This effect is generally seen in areas where electrical distribution lines (power lines) run parallel to the running rail. This paper will describe methodology used to mitigate the problems by selecting a suitable capacitor filter bank network that provides a highly conductive path for the induced AC voltages between the substation grounding grid and the running rail at the traction power substation location. The filter actually provides lower resistance to AC than the resistance to the ground, thus from an AC standpoint, the running rails are connected to the earth at that location. This drains much of the AC potential between running rail and the earth thus greatly lessening this potential even at significant distance from the substation. The filter network provides no path for DC current so it does not increase stray traction earth currents produced by rail drop voltage from an accelerating train. The adequate measurement and verification (M & V) techniques are adopted to achieve desired results. The paper describes a cost effective solution comprising of an RC network filter with NEMA 3R rating enclosure, along with monitoring devices for monitoring DC and AC voltages and currents at the negative rail. These devices are installed and tested to mitigate the stray current issues successfully at the Valley Transportation Authority’s (VTA) traction power substation #31.

scholarly journals Denoising with Singular Value Decomposition for Phase Identification in Power Distribution Systems

2021 ◽  
Author(s):  
Nicholas Zaragoza ◽  
Vittal Rao
Keyword(s):  
Singular Value Decomposition ◽  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Time Series Data ◽  
Singular Value ◽  
Identification Accuracy ◽  
Series Data ◽  
Phase Identification ◽  
Value Decomposition

Phase identification is the problem of determining what phase(s) that a load is connected to in a power distribution<br>system. However, real world sensor measurements used for phase identification have some level of noise that can hamper the ability to identify phase connections using data driven methods. Knowing the phase connections is important to keep the distribution system balanced so that parts of the system aren’t overloaded which can lead to inefficient operations, accelerated component degradation, and system destruction at worst. We use Singular Value Decomposition (SVD) with the optimal Singular Value Hard Threshold (SVHT) as part of a feature engineering pipeline to denoise data matrices of voltage magnitude measurements. This approach results in a reduction in frobenius error and an increase in average phase identification accuracy over a year of time series data. K-medoids clustering is used on the denoised voltage magnitude measurements to perform phase identification.<br>

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