New Identification Method for Power Transformer and Phase in Distribution Systems

Abstract

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.

Phase topology identification in low-voltage distribution networks: A Bayesian approach

“…The traditional approach to deal with phase connection identification by DSOs is to perform field-side testing, in which an O&M operator goes to the customer's supply point to check the actual phase in which it is connected. The identification is usually performed by injecting highfrequency signals into each phase line at the secondary distribution substation and verifying which of the signals is received at the customer's supply point [7]. This approach has several disadvantages: it is costly, time-consuming, needs specific hardware and requires welltrained workers.…”

A model for identifying the feeder-transformer relationship in distribution grids using a data-driven machine-learning algorithm

“…In hardware-based identification, a commonly used approach is to use a specialized signal injection device. This method involves using a micro-synchronous phase generator to inject high-frequency characteristic signals, which are then monitored and analyzed for topology recognition of the distribution network (Alam et al, 2014;Byun et al, 2018;Wu et al, 2021). However, this option requires substantial hardware support and manual analysis of the signals, resulting in time-consuming, inefficient, and costly processes, particularly for large-scale distribution networks.…”