Accelerating Dielectric Response Measurements on Power Transformers—Part II: A Regression Approach

Suriyah-Jaya, Michael

doi:10.1109/tpwrd.2014.2332822

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…The frequency response of the dielectric materials is being widely used as a diagnostic tool for insulation systems [51,[110][111][112][113][114][115][116][117][118][119]. The monitoring of the complex permittivity and the DF of transformer insulation, as function of frequency provides inside information concerning the state of insulation within the components.…”

Section: Frequency Domain Spectroscopymentioning

confidence: 99%

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Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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Abstract:The condition of the internal cellulosic paper and oil insulation are of concern for the performance of power transformers. Over the years, a number of methods have been developed to diagnose and monitor the degradation/aging of the transformer internal insulation system. Some of this degradation/aging can be assessed from electrical responses. Currently there are a variety of electrical-based diagnostic techniques available for insulation condition monitoring of power transformers. In most cases, the electrical signals being monitored are due to mechanical or electric changes caused by physical changes in resistivity, inductance or capacitance, moisture, contamination or aging by-products in the insulation. This paper presents a description of commonly used and modern electrical-based diagnostic techniques along with their interpretation schemes.

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Section: Frequency Domain Spectroscopymentioning

confidence: 99%

“…The same is true for the higher frequency range (>10 Hz). The central part of the response is, on the other hand, influenced by the properties of the oil, mainly by its conductivity [51,[110][111][112][113][114][115][116][117][118][119].…”

Section: Frequency Domain Spectroscopymentioning

confidence: 99%

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Fofana

Hadjadj

2016

Energies

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“…(10) where, m is the number of current bee, k is a random integer number between 1 to SN (number of bees), and mi φ is a random number with uniform distribution controlled by a neighborhood radius.…”

Section: Summary Of Abc Algorithmmentioning

confidence: 99%

“…x fit x fit P (11) Afterward, all onlooker bees can find one of the food sources in the previous repeat by the above equations: the position of neighbor food source is found by (10) and then proportion rate is calculated. This process continues till the finishing condition is met.…”

Section: Summary Of Abc Algorithmmentioning

confidence: 99%

“…Insulation parameters such as moisture of insulation paper, electrical conductivity of the oil (which represents the moisture content of oil) and insulation model dimensions (if not known), is determined using comparison of the insulation dielectric response with master curves [8]. Usually this is done by separating frequency ranges (SFR) [9], which in practice has a significant error and also this method can not accurately assess the condition of the insulation [10].…”

Section: Introductionmentioning

confidence: 99%

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Condition assessment of transformer insulation using dielectric frequency response analysis by artificial bee colony algorithm

Bigdeli

Aghajanloo

2016

Archives of Electrical Engineering

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Transformers are one of the most important components of the power system. It is important to maintain and assess the condition. Transformer lifetime depends on the life of its insulation and insulation life is also strongly influenced by moisture in the insulation. Due to importance of this issue, in this paper a new method is introduced for determining the moisture content of the transformer insulation system using dielectric response analysis in the frequency domain based on artificial bee colony algorithm. First, the master curve of dielectric response is modeled. Then, using proposed method the master curve and the measured dielectric response curves are compared. By analyzing the results of the comparison, the moisture content of paper insulation, electrical conductivity of the insulating oil and dielectric model dimensions are determined. Finally, the proposed method is applied to several practical samples to demonstrate its capabilities compared with the well-known conventional method.

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Assessing the moisture content of oil‐impregnated paper bushings with a simple and fast method

Ansari,

Vahedi

2023

IET Electric Power Appl

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Power outages can cause harm to both society and individual health. Among the crucial elements of power systems, power transformers play a vital role, and their failures can lead to incidents and disruptions. According to statistics, almost 50% of the explosions and fires in the power transformer are caused by oil‐impregnated paper (OIP) bushing failures. Moreover, moisture is a crucial factor that affects the health of OIP bushings, and assessing the moisture level in OIP bushings is vital to guarantee the safety of power systems. While the frequency‐domain dielectric spectroscopy (FDS) method has been widely used to assess the moisture content of OIP bushings on‐site, it has the disadvantage of requiring a long measurement time. Therefore, a novel technique was proposed in this study that involves measuring the OIP bushing dissipation factor (tanδ) at 1 Hz to estimate the moisture content in a significantly shorter time. Five samples of OIP with various moisture levels have been selected, and an equation based on the OIPs' value of tanδ at 1 Hz was proposed to assess the moisture level of OIP bushings. Furthermore, the validity of the proposed method was successfully verified, proving its precision and time efficiency.

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Accelerating Dielectric Response Measurements on Power Transformers—Part II: A Regression Approach

Cited by 22 publications

References 3 publications

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Electrical-Based Diagnostic Techniques for Assessing Insulation Condition in Aged Transformers

Condition assessment of transformer insulation using dielectric frequency response analysis by artificial bee colony algorithm

Assessing the moisture content of oil‐impregnated paper bushings with a simple and fast method

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