Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers
Introduction. Ensuring the operational reliability of power transformers is an urgent task for the power industry in Ukraine and for most foreign countries. One of the ways to solve this problem is the correction of maximum permissible values of insulation parameters. However, such a correction is f...
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| Дата: | 2021 |
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| Автори: | , |
| Формат: | Стаття |
| Мова: | English Ukrainian |
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National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine”
2021
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| Онлайн доступ: | http://eie.khpi.edu.ua/article/view/239261 |
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| Назва журналу: | Electrical Engineering & Electromechanics |
Репозитарії
Electrical Engineering & Electromechanics| id |
eiekhpieduua-article-239261 |
|---|---|
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ojs |
| institution |
Electrical Engineering & Electromechanics |
| collection |
OJS |
| language |
English Ukrainian |
| topic |
трансформаторне масло показники масел тривалість експлуатації статистичний аналіз закони розподілу критерії згоди функції щільності розподілу розподіл Вейбула transformer oil oil indicators operating time statistical analysis distribution laws goodness-of-fit criteria Weibull distribution density functions |
| spellingShingle |
трансформаторне масло показники масел тривалість експлуатації статистичний аналіз закони розподілу критерії згоди функції щільності розподілу розподіл Вейбула transformer oil oil indicators operating time statistical analysis distribution laws goodness-of-fit criteria Weibull distribution density functions Shutenko, O. Ponomarenko, S. Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| topic_facet |
трансформаторне масло показники масел тривалість експлуатації статистичний аналіз закони розподілу критерії згоди функції щільності розподілу розподіл Вейбула transformer oil oil indicators operating time statistical analysis distribution laws goodness-of-fit criteria Weibull distribution density functions |
| format |
Article |
| author |
Shutenko, O. Ponomarenko, S. |
| author_facet |
Shutenko, O. Ponomarenko, S. |
| author_sort |
Shutenko, O. |
| title |
Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| title_short |
Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| title_full |
Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| title_fullStr |
Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| title_full_unstemmed |
Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers |
| title_sort |
analysis of distribution laws of transformer oil indicators in 110-330 kv transformers |
| title_alt |
Аналіз законів розподілу показників трансформаторних масел в трансформаторах 110-330 кВ |
| description |
Introduction. Ensuring the operational reliability of power transformers is an urgent task for the power industry in Ukraine and for most foreign countries. One of the ways to solve this problem is the correction of maximum permissible values of insulation parameters. However, such a correction is fundamentally impossible without an analysis of the laws of distribution of diagnostic indicators in the equipment with different states. The purpose of the research is to analyse the laws of distribution of the quality indicators of transformer oil with different states in 110 and 330 kV transformers. Novelty. It was found that both 330 kV autotransformers and 110 kV transformers have the displacements between the mathematical expectations of the distribution density of usable oil indicators. It caused by different service life of the analysed transformers and different values of load factors. This indicates the need to consider the influence of these factors when correcting the maximum permissible values of oil indicators. Also, the presence of displacement between the distribution densities of some indicators of usable oil in 110 kV transformers and 330 kV autotransformers has been revealed. It indicates a different intensity of oxidation reactions in transformers with different voltage class. In order to reduce the heterogeneity of initial data the procedure of statistical processing of in-service test results has been proposed as a method. This procedure combines the use of a priori information about the service life of equipment and values of load factors with the elements of statistical hypothesis testing. The results of the analysis of the distribution laws of transformer oil indicators with different states have shown that for both usable and unusable oil the values of oil indicators obey the Weibull distribution. Values of the shape and scale parameters for each of the obtained indices arrays have been obtained, as well as calculated and critical values of the goodness-of-fit criteria. Practical value. Obtained values of the distribution law parameters of the transformer oil indicators with different states, considering the service life and operating conditions allow to perform the correction of the maximum permissible values of the indicators using the statistical decision-making methods. |
| publisher |
National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” |
| publishDate |
2021 |
| url |
http://eie.khpi.edu.ua/article/view/239261 |
| work_keys_str_mv |
AT shutenkoo analysisofdistributionlawsoftransformeroilindicatorsin110330kvtransformers AT ponomarenkos analysisofdistributionlawsoftransformeroilindicatorsin110330kvtransformers AT shutenkoo analízzakonívrozpodílupokaznikívtransformatornihmaselvtransformatorah110330kv AT ponomarenkos analízzakonívrozpodílupokaznikívtransformatornihmaselvtransformatorah110330kv |
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2024-06-01T14:39:56Z |
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2024-06-01T14:39:56Z |
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eiekhpieduua-article-2392612021-11-28T12:28:31Z Analysis of distribution laws of transformer oil indicators in 110-330 kV transformers Аналіз законів розподілу показників трансформаторних масел в трансформаторах 110-330 кВ Shutenko, O. Ponomarenko, S. трансформаторне масло показники масел тривалість експлуатації статистичний аналіз закони розподілу критерії згоди функції щільності розподілу розподіл Вейбула transformer oil oil indicators operating time statistical analysis distribution laws goodness-of-fit criteria Weibull distribution density functions Introduction. Ensuring the operational reliability of power transformers is an urgent task for the power industry in Ukraine and for most foreign countries. One of the ways to solve this problem is the correction of maximum permissible values of insulation parameters. However, such a correction is fundamentally impossible without an analysis of the laws of distribution of diagnostic indicators in the equipment with different states. The purpose of the research is to analyse the laws of distribution of the quality indicators of transformer oil with different states in 110 and 330 kV transformers. Novelty. It was found that both 330 kV autotransformers and 110 kV transformers have the displacements between the mathematical expectations of the distribution density of usable oil indicators. It caused by different service life of the analysed transformers and different values of load factors. This indicates the need to consider the influence of these factors when correcting the maximum permissible values of oil indicators. Also, the presence of displacement between the distribution densities of some indicators of usable oil in 110 kV transformers and 330 kV autotransformers has been revealed. It indicates a different intensity of oxidation reactions in transformers with different voltage class. In order to reduce the heterogeneity of initial data the procedure of statistical processing of in-service test results has been proposed as a method. This procedure combines the use of a priori information about the service life of equipment and values of load factors with the elements of statistical hypothesis testing. The results of the analysis of the distribution laws of transformer oil indicators with different states have shown that for both usable and unusable oil the values of oil indicators obey the Weibull distribution. Values of the shape and scale parameters for each of the obtained indices arrays have been obtained, as well as calculated and critical values of the goodness-of-fit criteria. Practical value. Obtained values of the distribution law parameters of the transformer oil indicators with different states, considering the service life and operating conditions allow to perform the correction of the maximum permissible values of the indicators using the statistical decision-making methods. У статті наведено результати аналізу законів розподілу показників трансформаторних масел у трансформаторах 110 і 330 кВ. Встановлено, що розподіл показників для масла як придатного, так і непридатного до експлуатації, незалежно від класу напруги трансформаторів підпорядковуються закону розподілу Вейбула. Виконаний аналіз показав, що і в автотрансформаторах напругою 330 кВ, і в трансформаторах напругою 110 кВ має місце зміщення між математичними очікуваннями щільності розподілу показників масел придатного до експлуатації. Наявність даного зміщення дозволяє використовувати отриманні з урахуванням умов експлуатації значення параметрів законів розподілу для оцінки відпрацьованого ресурсу масел, а також для прогнозування та планування термінів обслуговування та ремонту обладнання. National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2021-10-18 Article Article application/pdf application/pdf http://eie.khpi.edu.ua/article/view/239261 10.20998/2074-272X.2021.5.07 Electrical Engineering & Electromechanics; No. 5 (2021); 46-56 Электротехника и Электромеханика; № 5 (2021); 46-56 Електротехніка і Електромеханіка; № 5 (2021); 46-56 2309-3404 2074-272X en uk http://eie.khpi.edu.ua/article/view/239261/240547 http://eie.khpi.edu.ua/article/view/239261/240548 Copyright (c) 2021 O. Shutenko, S. Ponomarenko http://creativecommons.org/licenses/by-nc/4.0 |