Intelligent, sensor-based condition monitoring of transformer stations in the distribution network

Nicolaou, Christina; Mansour, Ahmad; Jung, Philipp; Schellenberg, Max; Würde, Andre; Walukiewicz, Alexander; Kahlen, Jannis Nikolas; Shekow, Marius; Laerhoven, Kristof Van

doi:10.1109/ssi52265.2021.9466985

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…In the substation room, a large amount of heat is generated by various equipment during operation. Once the temperature is too high it will cause certain losses to the service life of electronic components and equipment, constantly reducing the mechanical strength of materials and causing deformation of some electrical materials [6] . Humidity is also an important environmental factor affecting the performance of various electrical equipment.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Environmental Monitoring System for Substation Based on Internet of Things

Li,

Liu,

Chen

2023

J. Phys.: Conf. Ser.

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At present, the environmental monitoring of the substation suffers from complex wiring, low intelligence, high staff work intensity, and a lack of information-based overall management. Moreover, the distribution of substations is relatively scattered, making it complex and costly to set up a dedicated communication network. In response to these problems, this paper combines modern communication technology, sensor technology, and mobile intelligent terminal development technology to study an overall information-based substation environmental monitoring system. The monitoring system proposed in this paper includes a main controller, a data collection terminal, and a mobile communication terminal. The environmental data collected by the main controller is sent to the server through the communication method of subscription and substation using wireless communication technology, and the interface of the mobile communication terminal can display indoor environmental monitoring data. When the environmental data of the Substation exceeds the set threshold value to issue an early warning alert, the user can control it remotely through the mobile communication terminal to improve the indoor environment of the Substation. The system has a simple operation interface, low power consumption, and strong expansion compatibility, which effectively realizes remote monitoring and control of the substation environment and has good engineering application value.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of Environmental Monitoring System for Substation Based on Internet of Things

Li,

Liu,

Chen

2023

J. Phys.: Conf. Ser.

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Fuzzy Algorithms for Diagnosis of Furnace Transformer Insulation Condition

et al. 2022

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Implementation of the smart transformer concept is critical for the deployment of IIoT-based smart grids. Top manufacturers of power electrics develop and adopt online monitoring systems. Such systems become part of high-voltage grid and unit transformers. However, furnace transformers are a broad category that this change does not affect yet. At the same time, adoption of diagnostic systems for furnace transformers is relevant because they are a heavy-duty application with no redundancy. Creating any such system requires a well-founded mathematical analysis of the facility’s condition, carefully selected diagnostic parameters, and setpoints thereof, which serve as the condition categories. The goal hereof was to create an expert system to detect insulation breach and its expansion as well as to evaluate the risk it poses to the system; the core mechanism is mathematical processing of trends in partial discharge (PD). We ran tests on a 26-MVA transformer installed on a ladle furnace at a steelworks facility. The transformer is equipped with a versatile condition monitoring system that continually measures apparent charge and PD intensity. The objective is to identify the condition of the transformer and label it with one of the generally recognized categories: Normal, Poor, Critical. The contribution of this paper consists of the first ever validation of a single generalized metric that describes the condition of transformer insulation based on the online monitoring of the PD parameters. Fuzzy logic algorithms are used in mathematical processing. The proposal is to generalize the set of diagnostic variables to a single deterministic parameter: insulation state indicator. The paper provides an example of calculating it from the apparent charge and PD power readings. To measure the indicativeness of individual parameters for predicting further development of a defect, the authors developed a method for testing the diagnostic sensitivity of these parameters to changes in the condition. The method was tested using trends in readings sampled whilst the status was degrading from Normal to Critical. The paper also shows a practical example of defect localization. The recommendation is to broadly use the method in expert systems for high-voltage equipment monitoring.

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Intelligent, sensor-based condition monitoring of transformer stations in the distribution network

Cited by 2 publications

References 4 publications

Design and Implementation of Environmental Monitoring System for Substation Based on Internet of Things

Design and Implementation of Environmental Monitoring System for Substation Based on Internet of Things

Fuzzy Algorithms for Diagnosis of Furnace Transformer Insulation Condition

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