Power transformer health monitoring: A shift from off-line to on-line detection

Aburaghiega, Ehnaish; Farrag, Mohamed Emad; Hepburn, Donald M.; García, Belén

doi:10.1109/upec.2015.7339901

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Transformer monitoring system are often custom made for specific power transformer and have complex specifications and design [6] [7]. Status and key performance indicators are tracked using three major sources of data: current or temperature monitoring [8], overvoltage monitoring and gas analyses. For gas analysis and monitoring of overvoltage inside windings there needs to be specialty equipment inside tank, but current and temperature is often available at SCADA as a normal measurement.…”

Section: Transformer Measurement Datamentioning

confidence: 99%

Smart grid substation equipment maintenance management functionality based on control center SCADA data

Ivanković¹,

Peharda²,

Novosel

et al. 2022

joe

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Classic approach to preventive maintenance of equipment in power system substations was based on periodical maintenance according to regulations and best practices recommended by vendors. SCADA system in HOPS is used primary for real-time monitoring and control of the equipment in substations. Real time data available in SCADA databases contain useful information for substation maintenance optimization based on operational conditions. Malfunctions and failures in the substations are monitored via SCADA system. Analyses of these data can be used to evaluate maintenance strategy and plan the reconstructions and replacement of the equipment. This article presents current maintenance management approach in HOPS, which is the only transmission system operator in Croatia, and possible improvements in efficiency of equipment maintenance using SCADA data. Prerequisite for the analyses of these kinds of data is standardization and unification of information names and structures. HOPS put a lot of effort in standardization of SCADA data during last refurbishment of control centers. Use of SCADA data for analysis drives the need for standardization and vice versa. Examples of statistical analyses of the SCADA data are done on multiple levels. High level analyses is used to provide the global overview of the real time data. It can point to suspicious information that require detailed analyses. The signals that appear often in the list can indicate that there is a problem in the primary equipment, monitoring system or alarm configuration. Low level analyses can be done on target information important for equipment maintenance. In this paper some low level analyses are presented for switching equipment, transformer lifetime, equipment in operation, and tap changer operation. An analysis is made for number of switching operations for breakers and disconnectors in different operational conditions. Preventive maintenance should be done based on number of switching in normal operations and even more often for breakers that are often interrupting fault current. SCADA data can be used for availability of the equipment and duration of failures thus providing valuable information to managers. An analysis on RTU communication availability is shown.

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Section: Transformer Measurement Datamentioning

confidence: 99%

Smart grid substation equipment maintenance management functionality based on control center SCADA data

Ivanković¹,

Peharda²,

Novosel

et al. 2022

joe

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“…Failure in a transformer can lead to power outages, with inconvenience and damage to consumers. In this scenario, it is essential to monitor operational parameters during lifespan of the power transformers, especially the ones used in high voltage transmission lines, given their impact in the stability and reliability of the entire electric system [1].…”

Section: Introductionmentioning

confidence: 99%

Static and Dynamic Evaluation of a Winding Deformation FBG Sensor for Power Transformer Applications

Melo¹,

Benetti²,

Lacerda

et al. 2019

Sensors

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Power transformer is the most important and expensive equipment used in the electric power industry. Fiber Bragg grating (FBG) sensors has stood out as a flexible and particularly suitable tool for power transformer monitoring being a passive and dielectric sensor element. In this work we evaluated the performance of FBG pressure sensors developed to monitor the static and dynamic pressure in high voltage winding transformers during events such as short-circuit and inrush current. Two types of sensors packaging materials were evaluated in laboratory: polyether ether ketone (PEEK) and transformerboard (TB). The sensors have been tested for high intensity and short duration impacts similar to those occurring in short circuits. In addition, we evaluated the time response of sensors using an interrogation system with a 5 kHz sweep in order to analyze the short circuit response time properly. The results pointed that FBG pressure sensors using PEEK and TB are suitable for transformer winding monitoring. The static sensitivity obtained to PEEK based sensors was 0.911 pm/N, in the range of 800 N to 1500 N. This sensitivity is 4.47 higher than TB based sensors sensitivity. Dynamical tests performance showed an excellent repeatability for both sensors, in agreement with static observation.

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“…In [20], authors addressed the possibility of adopting online as a replacement of off-line condition monitoring of a power transformers based on the detection and monitoring of internal short circuit.…”

Section: Introductionmentioning

confidence: 99%

On-line Condition Monitoring of Power Transformer Health Status Enforced by Temperature and Electrical Signatures

Aburaghiega

Farrag

Gouda

2019

2019 21st International Middle East Power Systems Conference (MEPCON)

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Transformers play a vital role in the electrical power system network, loss of a power transformer has severe consequences on both the utility and customers depending on how long time it is out-of-service. Internal faults are said to be the most likely cause of disruption in transformer's performance and, consequently, interruption of power supplied. Developing an on-line method to monitor and investigate the health of a transformer will help asset managers to assess infrastructure while it is operational, leading to reduced running costs and increased component life. This research develops methods of on-line and on-going condition monitoring of power transformers based on monitoring the transformer signatures (voltage and current on both sides of the transformer), winding and core temperature. An experimental study has been conducted to investigate the behaviour of a transformer under healthy and unhealthy conditions. A transformer designed to provide access to sections/turns terminals was used to generate short circuit test in different locations during operational time, thermocouples are distributed across the transformer windings' discs in order to record their temperature during normal and abnormal operation. The results confirm the possibility of, in real time, detecting the presence of a short circuit fault, indicating its location and its severity. The correlation between the measured variables indicate the magnitude of the circulating current, thus the fault severity can be classified. The transformer temperature may also indicate the faulty windings and moreover which disc in each winding is short circuited.

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Power transformer health monitoring: A shift from off-line to on-line detection

Cited by 7 publications

References 11 publications

Smart grid substation equipment maintenance management functionality based on control center SCADA data

Smart grid substation equipment maintenance management functionality based on control center SCADA data

Static and Dynamic Evaluation of a Winding Deformation FBG Sensor for Power Transformer Applications

On-line Condition Monitoring of Power Transformer Health Status Enforced by Temperature and Electrical Signatures

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