A risk assessment method of transformer considering the economy and reliability of power network

Lin, Dan; Xu, Yao-Yu; Liang, Yu; Li, Yuan; Liu, Ning; Zhang, Guanjun

doi:10.1109/icempe.2017.7982167

Cited by 9 publications

(4 citation statements)

References 5 publications

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“…Also, in the works [23][24][25] of the authors H. Suna, R. M. Velasquez; J.W.M. Lara; Dong Ling; Yao-Yu Xu; Yu Liang; Yuan Li; Ning Liuand Quan and Jun Zhang were reviewed methods of intelligent diagnostics of transformers that use fuzzy logic and in the future can be applied to improve diagnostic systems and other power equipment.…”

Section: Discussion Of the Results Of Transformation Ratios Of Ees Trmentioning

confidence: 99%

Determination of Optimal Transformation Ratios of Power System Transformers in Conditions of Incomplete Information Regarding the Values of Diagnostic Parameters

Demianovych¹,

Evgeniovich²,

Oleksandrivna³

2020

Fuzzy Logic

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On the base of damage rate analysis of power transformers and methods of electrical energy system (EES) modes control the necessity of using the results of online diagnostics of LTC transformers not only for determinations of the expending of further operation or equipment repair but also for calculation of optimal transformation coefficients (with account of the suggested RRCT) for their application in the process of modes control has been proved. Improved method of determination of control action, realized by the LTC transformers by means of comparative analysis of the results calculation of EES modes with quasi resistances of the circuit branches. Such peculiarity of the suggested method of determination of control actions by LTC transformers, as the account of RRCT, in the process of EES mode control provides such advantages as reduction of the damage rate of the equipment, reduction of active power losses in EES. Due to the peculiarities of the method of determination of control actions by LTC transformers, with the account of their technical state, perspectives of the development and introduction in EES modern microprocessor-based systems of automatic control of transformers LTC open.

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Section: Discussion Of the Results Of Transformation Ratios Of Ees Trmentioning

confidence: 99%

Determination of Optimal Transformation Ratios of Power System Transformers in Conditions of Incomplete Information Regarding the Values of Diagnostic Parameters

Demianovych¹,

Evgeniovich²,

Oleksandrivna³

2020

Fuzzy Logic

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“…The recommendations according to the index obtained are: acquire a new asset, use it normally, perform maintenance, relocate, reduce its working regime, refurbish, repower, or perform the final disposal of the transformer. Lin and Xu [20] propose the use of the Markov approximation principle with the historical operation and maintenance data considering a failure's influence on the network economy and reliability. For high-risk index transformers, a load reduction is proposed to ensure the safety and availability of the network.…”

Section: Risk Index Methodologiesmentioning

confidence: 99%

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Balanta,

Rivera,

Romero

et al. 2023

Energies

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The power transformer is one of the most critical assets in power systems; therefore, planning and optimizing the economic investment for its replacement is crucial for the financial efficiency of the utility. A compilation of the main approaches reported in the literature for the replacement of oil-immersed power transformers is presented in this article. A chronological description of procedures presented in the literature for the determination of risk index, useful life evaluation, and transformer replacements is provided. Methodologies that use the theoretical basis of the degree of polymerization of the solid insulation of the units through the oxidation aging process to estimate their condition bring together the best tools currently available to achieve this objective. However, it is important and pertinent to complement these methodologies by considering the aging processes by pyrolysis and hydrolysis together and by incorporating economic analyses for appropriate replacement and management of these aged units.

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“…Питання діагностування технічного стану силових трансформаторів розглядали в багатьох роботах [2,5,6,[8][9][10][11][12][13]. У [7] визначено інтегральний показник технічного стану за результатами комплексу вимірювань і випробувань. У [2,5,6,14] вирішувались задачі визначення індексу технічного стану, ідентифікацію та рівень розвитку дефекту в умовах детермінованого, ймовірнісного та нечіткого характеру інформації.…”

Section: вступunclassified

Determination of “Weak” by Power Transformers Reliability of Power Systems According to the Results of Failure Risk Assessment Under External Short Circuits

Bardik¹,

Bolotniy²,

Koval³

2021

KPI SN

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Background. The increase of technological violation intensity and its consequences severity is caused mainly by objectively existing aging and service life depletion of electrical equipment. The power industry liberalization exacerbates the reliable operation problem of the power system and requires identification of power system operation accompanied by the maximum emergency risk with possible cascade accidents development. Therefore, the model development task for assessment of the equipment failure risk based on the diagnostic results of technical condition in particular under short circuit in the external network is relevant today. Objective. The aim of the work is to develop a fuzzy mathematical model for probability assessment of power transformer failure in the presence of a windings defect, short circuit in external network and emergency risk assessment under power transformers out of service. Methods. The fuzzy set theory and fuzzy logic were used for developing a mathematical model of risk assessment of power trans- former failure. The problems of determining the “weak” in terms of power transformers reliability of power systems based on the results of failure risk assessment due to external short circuits were solved by methods of fuzzy logic and probabilistic-statistical simulation of electric power system modes. Results. The necessity of complex simulation of electric power system modes is substantiated for probability assessment of power transformer failure under electrical network disturbances. The simulation of technical condition of power transformer windings was carried out. The short circuit influence on operability level of power transformers of electric power system was investigated. The quantitative indicators of operational risk of electric power system were determined under power transformers out of service. Conclusions. The linguistic mathematical model for estimating the failure probability of power transformer windings in the presence of defect and short circuit in electrical network has been developed to determine the quantitative indicators of emergency risk in power system.

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A risk assessment method of transformer considering the economy and reliability of power network

Cited by 9 publications

References 5 publications

Determination of Optimal Transformation Ratios of Power System Transformers in Conditions of Incomplete Information Regarding the Values of Diagnostic Parameters

Determination of Optimal Transformation Ratios of Power System Transformers in Conditions of Incomplete Information Regarding the Values of Diagnostic Parameters

Planning and Optimizing the Replacement Strategies of Power Transformers: Literature Review

Determination of “Weak” by Power Transformers Reliability of Power Systems According to the Results of Failure Risk Assessment Under External Short Circuits

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