The Analysis of Power Transformer Population Working in Different Operating Conditions with the Use of Health Index

Bohatyrewicz, Patryk; Mrozik, A.

doi:10.3390/en14165213

Cited by 13 publications

(6 citation statements)

References 18 publications

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“…This pursues to limit the number of interruptions in the grid and thus avoid economic penalties that can be severe. More specifically, only one large power transformer's shutdown can lead to direct and indirect losses that would far exceed its price [7].…”

Section: Oil-immersed Large Power Transformers: Abnormal Operating Co...mentioning

confidence: 99%

“…One must recognize several review studies in the literature on monitoring, fault detection, and diagnosis of power transformers. However, those reviews are general approaches in terms of power transformers as recent examples of reviews published in [7][8][9][10][11], reviews focusing on the application of a specific class of techniques again for general power transformers as in [12][13][14], and reviews centered in applying different technologies like fiber optics in [15], thermal cameras in [16], vibration sensors in [16,17], but all within general power transformers' perspective.…”

Section: Introductionmentioning

confidence: 99%

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Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques

2022

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Several review studies exist in the literature about monitoring, fault detection, and diagnosis of power transformers. However, they are general approaches in terms of power transformers. Some only focus on applying a specific class of techniques, but again, for general power transformers. Other reviews focus on applying different technologies such as fiber optics, thermal cameras, and vibration sensors, but all within the perspective of general power transformers. A significant question remains: among all types of power transformers, which specific techniques should be used, and why are they more adequate? What are the uncertainties that can decrease their precision? What about the balance, in terms of costs, associated with applying a certain technique and the return needed for a particular type of transformer? In this context, this paper is not only a literature review of well-known problems related to power transformers. Here, we do not just center on large power transformers (100 MVA or higher). Still, we describe a case study of a phase-shifting 1400 MVA-400 kV three-phase transformer that currently connects two European countries that began to show signs of abnormal operating conditions in 2012. In this way, the need to detect and identify anomalies in their initial stage of development for a possible preventive maintenance action is more than justified, which is essentially achieved with continuous monitoring models of the transformer, as concluded in this paper.

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Section: Oil-immersed Large Power Transformers: Abnormal Operating Co...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques

2022

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“…By evaluating factors such as temperature, oil quality, and insulation, the health index enables maintenance teams to make informed decisions and take proactive measures to ensure the longevity and optimal functioning of power transformers [4]. The most common application of HIs is in interpreting oil test results [5], although some also incorporate paper insulation quality [6], while others are used for analyzing a large population of transformers with multiple diagnostic methods [7]. Currently, numerous numerical indices have been described in the literature that can be employed for analyzing FRA or VM results separately [8].…”

Section: Introductionmentioning

confidence: 99%

Quality Index for Assessment of the Mechanical Condition of Transformers’ Active Part with Frequency Response and Vibroacoustic Measurements

Kornatowski,

Banaszak,

Molenda

2024

Energies

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The paper describes the application of the numerical tool quality index for an objective evaluation of complementary frequency response analysis (FRA) and vibroacoustic method (VM) test methods. These diagnostic methods are used in the industrial practice of transformer diagnostics for the assessment of the mechanical condition of windings and a core. The quality index is based on a numerical comparison of the curve obtained from measurements and the reference curve in a frequency domain. The quality index is based on estimators for the covariance, variance, and expected values. First, both methods of analysis were applied to a group of transformers of similar construction, leading conclusions on quality index values being quickly drawn. Next, it was applied to another transformer’s FRA and VM measurement results. The results showed problems with its mechanical condition, thus confirming that the proposed methods can be used in the practical assessment of transformers with these two diagnostic methods. The assessment of transformer’s active-part mechanical condition with complementary FRA and VM methods can be performed much more easily with the proposed quality indices.

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“…Researcher [6] notes that high-voltage equipment is a special category of complex equipment subject to continuous diagnosis. In that category, it is power transformers that require most attention and regular checkups.…”

Section: Introductionmentioning

confidence: 99%

Expert system for improving and controlling insulation system of service transformers using fuzzy logic controller

David Chigozie Madumere,

Evans C. Ashigwuike,

N.B. Gafai

2024

Global J. Eng. Technol. Adv.

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Implementation of the smart transformer concept is critical for the deployment of IOT-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 set points 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). This research work examined the acidity of distribution transformer oil in service through laboratory tests using a case study of installed distribution transformers at Abuja metropolis network comprising ten Feeders. The result shows the minimum breakdown voltage of 40KV/mm and maximum breakdown voltage of 58KV/mm. The maximum transformer oil Acidity is 0.1143mgKOH/g and the minimum transformer oil Acidity level is 0.0954mgKOH/g. The transformer efficiency without fuzzy is 82.89% and transformer efficiency with fuzzy controller is 98.10%.

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The Analysis of Power Transformer Population Working in Different Operating Conditions with the Use of Health Index

Cited by 13 publications

References 18 publications

Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques

Large-Power Transformers: Time Now for Addressing Their Monitoring and Failure Investigation Techniques

Quality Index for Assessment of the Mechanical Condition of Transformers’ Active Part with Frequency Response and Vibroacoustic Measurements

Expert system for improving and controlling insulation system of service transformers using fuzzy logic controller

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