Laboratory Investigations of Parallel Connected Inverters Feeding Medium Voltage Transformer

2018 ◽  
Author(s):  
Maciej Kozak
Keyword(s):  
Voltage Transformer ◽  
Medium Voltage ◽  
Laboratory Investigations ◽  
Feeding Medium

Interruption of small, medium-voltage transformer current with a vacuum circuit breaker

2020 ◽  
Vol 187 ◽  
pp. 106502
Author(s):  
Alain Xemard ◽  
Bruno Jurisic ◽  
Michel Rioual ◽  
Arthur Olivier ◽  
Eric Sellin
Keyword(s):  
Circuit Breaker ◽  
Voltage Transformer ◽  
Medium Voltage ◽  
Vacuum Circuit Breaker

scholarly journals Leak Current Monitoring System On The Ground Cables Medium Voltage Transformer 150/20 kV

2018 ◽  
Vol 218 ◽  
pp. 01008
Author(s):  
A. Sofwan ◽  
A. Multi ◽  
R. Soleman ◽  
Sugianto ◽  
A.Kusuma Septian
Keyword(s):  
Leakage Current ◽  
Short Circuit ◽  
Electrical Power ◽  
Voltage Transformer ◽  
Power Outage ◽  
Thermal Failure ◽  
Protection Relay ◽  
Medium Voltage ◽  
Current Monitoring ◽  
T Phase

On January, 2017 there had been fault trip at PMT 150/20 kV transformer in Jatirangon substation. For fault detection, that rele differential phase T and REF 20 kV have worked to detect this fault. The resulted impact of this fault is Power outage in feeder a 1350 A, 35 MW and 5 Mvar. The cause of this fault is the occurrence of breakdown on ground cables 20kV T-phase-core 1. This results in a short circuit to the ground so that the differential protection relay and REF 20kV work because the relay detects a fault in the ptotection zone. The result of this research is the design of an early detection monitoring tool. This tool is used to determine the amount of leakage current on the ground cable in order to minimize the occurrence of interference that causes the occurrence of electrical power outage. The result of the leakage current monitor on the ground phase cable T obtained a current of 0.6A with temperature 35 °C. With thermal failure calculation method for leakage current obtained result of 0,56180A with temperature 35 °C. Comparison of the calculation with the measurement of leakage current on the ground cable T phase is obtained at 6.36%.

scholarly journals Application of Machine Learning in Transformer Health Index Prediction

Energies ◽  
2019 ◽  
Vol 12 (14) ◽  
pp. 2694 ◽  
Author(s):  
Alhaytham Alqudsi ◽  
Ayman El-Hag
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Prediction Models ◽  
Health Condition ◽  
Test Results ◽  
Health Index ◽  
Voltage Transformer ◽  
Gulf Region ◽  
Strong Basis ◽  
Medium Voltage

The presented paper aims to establish a strong basis for utilizing machine learning (ML) towards the prediction of the overall insulation health condition of medium voltage distribution transformers based on their oil test results. To validate the presented approach, the ML algorithms were tested on two databases of more than 1000 medium voltage transformer oil samples of ratings in the order of tens of MVA. The oil test results were acquired from in-service transformers (during oil sampling time) of two different utility companies in the gulf region. The illustrated procedure aimed to mimic a realistic scenario of how the utility would benefit from the use of different ML tools towards understanding the insulation health index of their transformers. This objective was achieved using two procedural steps. In the first step, three different data training and testing scenarios were used with several pattern recognition tools for classifying the transformer health condition based on the full set of input test features. In the second step, the same pattern recognition tools were used along with the three training/testing scenarios for a reduced number of test features. Also, a previously developed reduced model was the basis to reduce the needed number of tests for transformer health index calculations. It was found that reducing the number of tests did not influence the accuracy of the ML prediction models, which is considered as a significant advantage in terms of transformer asset management (TAM) cost reduction.

Traceability of Low-Power Voltage Transformer for Medium Voltage Application

2014 ◽  
Vol 63 (12) ◽  
pp. 2804-2812 ◽  
Author(s):  
Gaetano Pasini ◽  
Lorenzo Peretto ◽  
Paolo Roccato ◽  
Angelo Sardi ◽  
Roberto Tinarelli
Keyword(s):  
Low Power ◽  
Voltage Transformer ◽  
Medium Voltage ◽  
Voltage Application

scholarly journals Modeling Capacitive Low-Power Voltage Transformer Behavior over Temperature and Frequency

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1719
Author(s):  
Alessandro Mingotti ◽  
Federica Costa ◽  
Gaetano Pasini ◽  
Lorenzo Peretto ◽  
Roberto Tinarelli
Keyword(s):  
High Frequency ◽  
Renewable Energy Sources ◽  
Electronic Devices ◽  
Measurement Instruments ◽  
Voltage Measurement ◽  
Voltage Transformer ◽  
Medium Voltage ◽  
Wide Range ◽  
Power Frequency ◽  
Intelligent Electronic Devices

The use of capacitive dividers (CDs) in medium-voltage (MV) networks started as simple voltage detectors and as rough voltage measurement instruments for protective purposes. Now, with the spread of intelligent electronic devices and renewable energy sources at the distribution level, capacitive dividers are designed and installed to perform accurate voltage measurements. Such a requirement is mandatory when the power quality has to be assessed. Therefore, CDs are currently being used either for power frequency or for high-frequency (supraharmonic- or partial-discharge-level) measurements. In this paper, typical off-the-shelf CDs are studied and modeled to understand how they behave in a wide range of frequencies and when the temperature varies. To this purpose, specific setups and tests have been developed and performed. From the results, it is clear that with proper modeling of CDs, it is possible to exploit them for measuring phenomena in a wide range of frequencies, including the effects due to temperature variations and self-resonances.

scholarly journals On single pole instrument voltage transformer overheating

2021 ◽  
Vol 72 (1) ◽  
pp. 29-34
Author(s):  
František Janíček ◽  
Lukáš Český ◽  
Filip Skudřík
Keyword(s):  
The State ◽  
Voltage Transformer ◽  
Output State ◽  
Medium Voltage ◽  
Instrument Transformers ◽  
Nominal Voltage ◽  
Instrument Transformer

Abstract The paper deals with calculation of overheating of a voltage instrument transformer used in medium voltage substations. Calculation of the primary and secondary windings is compared with measured values. These values are evaluated according to IEC 618691:2007, IEC 61869-3:2011 and IEC 60085:2007. In evaluation we focused on the state 1.9 × nominal voltage and thermal limiting output state. The article also compares the results for various parameters of instrument transformers that are necessary for clarification of calculation.

scholarly journals Resilience Modeling of Flood Induced Electrical Distribution Network Failures: Munich, Germany

2021 ◽  
Vol 9 ◽  
Author(s):  
Jorge Leandro ◽  
Shane Cunneff ◽  
Lorenz Viernstein
Keyword(s):  
Low Voltage ◽  
Distribution Network ◽  
Heavy Precipitation ◽  
Electrical Network ◽  
Voltage Transformer ◽  
Medium Voltage ◽  
Electrical Distribution ◽  
Electrical Distribution Network ◽  
Flooding Events ◽  
Severe Flooding

Of many defining characteristics for a flood resilient city and its infrastructure networks, mitigating flooding impacts and recovering quickly to a pre-flood state are to be considered of high importance. With a likely increase in the frequency and intensity of future heavy precipitation and flooding events in Europe, the vulnerability of the electrical distribution network of Maxvorstadt, Munich will also increase. These facts justify the need for quantifying how the electrical distribution network would respond to flooding, and more so, how stakeholders can better prepare for such an event. For a synthetic electrical distribution network of Maxvorstadt, the timing and location of network components failure due to flooding and affected persons without power have been computed for a combination of realistic future flooding events via the Electrical Network Flood Resilience Model developed in this study. It has been learned that most buildings, and therefore their inhabitants, lose power due to the failure of a specific component, Medium Voltage—Low Voltage transformer buses, and that flood risk solutions should focus on protecting network components from inundation to ensure its functionality through flooding events. Solutions like dry proofing such components before severe flooding occurs is recommended for several neighborhoods analyzed in this study.

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