Fuzzy Logic Based Calculation and Analysis of Health Index for Power Transformer Installed in Grid Stations

Idrees, Muhammad; Riaz, Muhammad Tanveer; Waleed, Aashir; Paracha, Zahir Javed; Raza, Hassan; Khan, Muhammad Abbas; Hashmi, Wajahat Saleem

doi:10.1109/raee.2019.8887016

Cited by 34 publications

(16 citation statements)

References 17 publications

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“…Although DPM demonstrated the highest success rate in diagnosing incipient faults, it is not suitable for identifying multiple faults. Another difficulty lies in the fact that the faults found at the limits of internal borders are in areas of fuzzy transition and are challenging to interpret because they share information between one fault and another [33]. The results of combining the Duval guidelines in the FDIp provided helpful information on the Identification of multiple incipient failures since three cases could be correctly identified experimentally, which validates the feasibility of the proposal.…”

Section: Analysis Of the Resultsmentioning

confidence: 62%

“…The authors of [29]- [32] develop fault diagnosis systems aimed at power transformers, which focus only on raising the fault diagnosis capacity through DGA analysis, limiting the diagnosis that serves as the basis for improving aspects such as efficiency in maintenance and availability of electrical systems. These reasons justify the need to continue improving, using modern techniques, the FDI systems based on the estimation of maintenance tasks [33].…”

Section: Ii1 1 St Stage Classification Based On the Key Gas Methodsmentioning

confidence: 99%

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A Proposal for the Diagnosis of Incipient Faults in Power Transformers Using Fuzzy Logic Techniques

Fernández¹,

Corrales-Barrios

Benítez-Pina

et al. 2022

IREE

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The availability of power transformers is essential for the safety and continuity of electrical service. Today's fault diagnosis methods use intelligent techniques such as neural networks, support machines, hybrid techniques, among others. Although they present good results, these techniques find restrictions in the ability to determine the precise moment in the event of multiple and small-magnitude faults. The proposal includes a new algorithm based on fuzzy rules that incorporates the daily increase of dissolved gases in the transformer oil that improves the classification of incipient faults. With reliable samples of gas dissolved in oil, the method proposed in the research can obtain a total precision rate of 91.4%. In contrast, this degree of precision is lower in other conventional methods reported in the bibliography. In addition, its performance in the classification of multiple failures is 97.5%. The method uses fuzzy logic tools to suggest actions aimed at preventive maintenance by monitoring the total of combustible gases dissolved in the oil. The proposal is a simple and easy solution to implement in practice that allows determining the status of the transformer in service without affecting the continuity of the electricity supply.

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Section: Analysis Of the Resultsmentioning

confidence: 62%

Section: Ii1 1 St Stage Classification Based On the Key Gas Methodsmentioning

confidence: 99%

A Proposal for the Diagnosis of Incipient Faults in Power Transformers Using Fuzzy Logic Techniques

Fernández¹,

Corrales-Barrios

Benítez-Pina

et al. 2022

IREE

View full text Add to dashboard Cite

show abstract

“…Other components such as the cooling system, core, and operational errors do not have a significant impact. In papers [5][6][7], the statistical data of component failures are collected from 350 power transformers to establish a three-level model of failure mechanism, failure linkages, and failure modes. Even though power transformer and distribution transformer have the same main working principles and key components such as insulation, windings, core, etc, these transformers differ in complexity and size.…”

Section: Distribution Transformer Failure Modesmentioning

confidence: 99%

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

et al. 2020

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Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

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“…FLC has been employed as a maximum power point tracking tool in [9]. The FLC was also used as a tool for power management in the standalone PV power system described in [10]. The work presented in [11] shows that the stand alone a hybrid power system and can be improved with FLC when it is used as management power for the best operation.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Logic Control Management with Stand Alone Photovoltaic – Fuel Cell System

Zakaria¹,

Arafa²,

Nashed³

et al. 2020

Adv. sci. technol. eng. syst. j.

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In this paper, a Hybrid System introduced (HS), which consists of Solar Photo-Voltaic (PV) system and the Fuel Cell (FC) System as alternative source of electrical power. The HS is used to supply the required electricity to a Single-Phase load with the help of Pulse Width Modulation Voltage Source Inverter (PWM-VSI). The PV provide the FC system with the required power to be used when it is needed to feed the loads during the absent of the solar sun lights. The FC system generate the Hydrogen (H2) from electrolyzer which Supplied with the Photo-Voltaic energy and water (H2O). While, the generated H2 is reserved in a Tank which provides the FC Stack by the required Hydrogen level. The output voltage from the FC Stack then, Boosted and converted to AC voltage suitable for the loads using a PWM-VSI. The fuzzy logic control (FLC) is designed to control management between level of tank H2 and power demand of load. The individual components are simulated in MATLAB/Simulink environment and tested, also, complete system modeling is presented, and the results obtained are found to be satisfactory.

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Fuzzy Logic Based Calculation and Analysis of Health Index for Power Transformer Installed in Grid Stations

Cited by 34 publications

References 17 publications

A Proposal for the Diagnosis of Incipient Faults in Power Transformers Using Fuzzy Logic Techniques

A Proposal for the Diagnosis of Incipient Faults in Power Transformers Using Fuzzy Logic Techniques

A Review of Health Assessment Techniques for Distribution Transformers in Smart Distribution Grids

Fuzzy Logic Control Management with Stand Alone Photovoltaic – Fuel Cell System

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