scholarly journals Study on the increase in power supply reliability for the consumers of electricity

2021 ◽  
Vol 939 (1) ◽  
pp. 012011
Author(s):  
A Rakhmatov
Keyword(s):  
Water Management ◽  
Chemical Composition ◽  
Power Supply ◽  
Power Transformer ◽  
The State ◽  
Transformer Oil ◽  
Power Transformers ◽  
Degree Of Damage ◽  
Physical And Chemical ◽  
Supply Systems

Abstract The issues of increasing the reliability of power transformers used in power supply systems for agriculture and water management were discussed in this article.The degree of damage to the insulation of power transformers by the physical and chemical composition of the transformer oil and insulation of other parts was also investigated, materials on the assessment of the state of insulation by the degree of damage to the insulation of individual units of the power transformer were presented.

Study of power transformer loading in rural power supply systems

2021 ◽  
Vol 13 (4) ◽  
pp. 282-289
Author(s):  
I. V. Naumov ◽  
D. N. Karamov ◽  
A. N. Tretyakov ◽  
M. A. Yakupova ◽  
E. S. Fedorinovа
Keyword(s):  
Energy Efficiency ◽  
Power Supply ◽  
Rural Areas ◽  
Power Transformer ◽  
Electric Energy ◽  
Power Transformers ◽  
Electric Networks ◽  
Load Factors ◽  
Optimal Load ◽  
Supply Systems

The purpose of this study is to study the effect of loading power transformers (PT) in their continuous use on their energy efficiency on a real-life example of existing rural electric networks. It is noted that the vast majority of PT in rural areas have a very low load factor, which leads to an increase in specific losses of electric energy when this is transmitted to various consumers. It is planned to optimize the existing synchronized power supply systems in rural areas by creating new power supply projects in such a way as to integrate existing power sources and ensure the most efficient loading of power transformers for the subsequent transfer of these systems to isolated ones that receive power from distributed generation facilities. As an example, we use data from an electric grid company on loading power transformers in one of the districts of the Irkutsk region. Issues related to the determination of electric energy losses in rural PT at different numerical values of their load factors are considered. A computing device was developed using modern programming tools in the MATLAB system, which has been used to calculate and plot the dependence of power losses in transformers of various capacities on the actual and recommended load factors, as well as the dependence of specific losses during the transit of 1 kVA of power through a power transformer at the actual, recommended and optimal load factors. The analysis of specific losses of electric energy at the actual, recommended and optimal load factors of PT is made. Based on the analysis, the intervals of optimal load factors for different rated power of PT of rural distribution electric networks are proposed. It is noted that to increase the energy efficiency of PT, it is necessary to reduce idling losses by increasing the load of these transformers, which can be achieved by reducing the number of transformers while changing the configuration of 0.38 kV distribution networks.

Power transformer oil recovery by antioxidant at SUEK-Khakassia

2018 ◽  
pp. 145-154
Author(s):  
M. A. Lifer ◽  
A. V. Konstantinov
Keyword(s):  
Economic Efficiency ◽  
Oil Recovery ◽  
Power Supply ◽  
Power Transformer ◽  
Economic Effect ◽  
Transformer Oil ◽  
Power Transformers ◽  
Operating Life ◽  
Chemical Protection ◽  
Operational Safety

The article discusses application of a procedure for recovery of operating processing of switch oil in 35-110 kV power transformers at objects of power supply at SUEK-Khakassia by using antioxidant Agidol. Details of process circuit, Agidol mechanisms, involved equipment maintenance, operational safety and economic efficiency of the procedure introduction in framework of implementation of basic engineering solutions are given. Entrance of oxidation inhibitor Agidol in switch oil greatly improves chemical protection of 35/110 kV power transformers from ageing and extends their operating life. This method is applicable to any TM grade oil transformers with operating life more than 10 years. The economic effect calculation proves validity of the procedure and its implementability by in-house personnel without outside contractors engaged.

Influence of electrical and thermal ageing on the mineral insulating oil performance for power transformer applications

2020 ◽  
Vol 62 (4) ◽  
pp. 222-231
Author(s):  
C Ranga ◽  
A Kumar ◽  
R Chandel
Keyword(s):  
Power Transformer ◽  
Stress Test ◽  
Oxidation Stability ◽  
Chemical Properties ◽  
Mineral Oil ◽  
Thermal Ageing ◽  
Test Cell ◽  
Transformer Oil ◽  
Power Transformers ◽  
Solid Dielectrics

In the present work, a new electrothermal combined stress test cell has been designed and fabricated to conduct accelerated electrothermal ageing. The fabricated test cell includes all possible real working conditions of the transformers. The effects of accelerated electrothermal ageing on the performance of power transformers with thermally upgraded Kraft (TUK), Nomex-910 and Nomex-410 solid dielectrics in conjunction with mineral oil have been investigated. The accelerated electrothermal ageing has been performed for a temperature range of 100°C to 220°C, along with 10 kV electrical stress. Subsequently, several electrical, thermal, mechanical and chemical properties of transformer oil and different paper dielectrics have been determined. It has been observed from the diagnostic test results that Nomex impregnated mineral oil samples have better electrothermal performance as well as oxidation stability when compared to the thermally upgraded Kraft oil samples. Therefore, Nomex insulating materials in conjunction with mineral oil are suggested as alternative solid dielectrics for power transformers in order to achieve better oxidation stability, improved thermal performance for long service runs and reduced operating and maintenance costs. It is envisioned that the present experimental study will be very beneficial to utility managers and end-users of power transformers.

scholarly journals Condition assessment of power transformers status based on moisture level using fuzzy logic techniques

2018 ◽  
Vol 9 (1) ◽  
pp. 17 ◽  
Author(s):  
Vezir Rexhepi ◽  
Petar Nakov
Keyword(s):  
Fuzzy Logic ◽  
Power System ◽  
Electrical Breakdown ◽  
Power Transformer ◽  
Condition Assessment ◽  
The State ◽  
Moisture Level ◽  
Power Transformers ◽  
Safe Operation ◽  
Fuzzy Logic Technique

Power transformers are one of the most expensive components; therefore the focus on their status and its continuous operation is the primary task. In the power systems, condition assessment of performance and reliability is based on the state of components, measurements, testing and maintenance as well as their diagnosis. Hence, condition assessment of power transformer parameters is the most important regarding their status and finding incipient failures. Among many factors, the most factors that affects the safe operation and life expentancy of the transformer is the moisture in oil. It is known that the low moisture oil in power transformers causes many problems including electrical breakdown, increase the amount of partial discharge, decreases the dielectric withstand strength and other phenomena. Thus, knowledge about the moisture concentration in a power transformer is significantly important for safe operation and lifespan. In this study, moisture level in oil is estimated and its status classification is proposed by using fuzzy logic techniques for the power transformer monitoring and condition assessment. Moreover, the goal of the study is to find methods and techniques for the condition assessment of power transformers status based on the state of moisture in oil using the fuzzy logic technique. These applied techniques increase the power system reliability, help to reduce incipient failures, and give the better maintenance plan using an algorithm based on logic rules. Also, by using the fuzzy logic techniques, it is easier to prevent failures which may have consequences not only for transformers but also for the power system as a whole.

scholarly journals Diagnostic methodology of power transformer’s failure

2018 ◽  
pp. 80-92
Author(s):  
Chinbat O
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Power Transformer ◽  
Production Quality ◽  
Supply System ◽  
Power Transformers ◽  
Stable Operation ◽  
Electricity Distribution ◽  
System Composition ◽  
End Products

Mining and energy sectors are considered to be the fundamental keystones of the Mongolian economy.Regarding the Erdenet enterprise LLC, which is acknowledged as the leading enterprise of mining sector, the ensuring continuous and uniform production serves as the basis for improving effeiciency and production quality end products. Smooth, uninterrupted reliable and stable operation of production is directly dependent on power supply system,its sub-system composition and power transformer application. Therefore, this study was conducted at the power transformers located in Erdenet Enterprise LLC and Ulaanbaatar Electricity Distribution Network with the aim to indentify damages and failure in transformers and develop diagnosing methodogy.

Rationalisation of the Operation Process of Power Supply Systems of Highway Telematics

2016 ◽  
Vol 817 ◽  
pp. 253-260
Author(s):  
Adam Rosiński
Keyword(s):  
Power Supply ◽  
Power Supply System ◽  
Supply System ◽  
The State ◽  
System Of Equations ◽  
Operation Process ◽  
Supply Systems

The paper presents the issues related to the operation of the operation process of the power supply system of highway telematics. A relationships graph was presented in the considered system, and the Kolmogorov-Chapman system of equations was derived to describe it. Drawing on those equations, relationships for calculating probability of the power supply system staying in state of complete usability SPZ, state of the impendency over safety SZB as well as the state of unreliability of safety SB were derived. Next, this enabled rationalisation of the operation process of the analysed systems.

scholarly journals Impact of Power Transformer Oil-Temperature on the Measurement Uncertainty of All-Acoustic Non-Iterative Partial Discharge Location

Materials ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1385
Author(s):  
Vladimir Polužanski ◽  
Nenad Kartalović ◽  
Boško Nikolić
Keyword(s):  
Measurement Uncertainty ◽  
Power Transformer ◽  
Partial Discharge ◽  
Transformer Oil ◽  
Power Transformers ◽  
Acoustic Sensors ◽  
Temperature Variations ◽  
Discharge Location ◽  
The Mean ◽  
And Control

In this paper, the influence of the variation in transformer oil temperature on the accuracy of the all-acoustic non-iterative method for partial discharge location in a power transformer is researched. The research can improve power transformers’ testing and monitoring, particularly given the large transformer oil temperature variations during real-time monitoring. The research is based on quantifying the contribution of oil temperature to the standard combined measurement uncertainty of the non-iterative algorithm by using analytical, statistical, and Monte Carlo methods. The contribution can be quantified and controlled. The contribution varied significantly with different mutual placements of partial discharge and acoustic sensors. The correlation between the contribution and the mean distance between partial discharge and acoustic sensors was observed. Based on these findings, the procedure to quantify and control the contribution in practice was proposed. The procedure considers the specificity of the method’s mathematical model (the assumption that the oil temperature is constant), the non-iterative algorithm’s nonlinearity, and the large variations in transformer oil temperature. Existing studies did not consider the significant effect of the oil temperature on the combined measurement uncertainty of partial discharge location influenced by those phenomena. The research is limited to partial discharge located in the transformer oil.

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