Improved transformer maintenance plan for reliability centred asset management of power transmission system

Koksal, Aysun; Özdemir, Aydoğan

doi:10.1049/iet-gtd.2015.1286

Cited by 34 publications

(17 citation statements)

References 26 publications

(23 reference statements)

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“…Works on maintenance planning of EDS that include the reliability criterion consider different equipment in the system, as transformers (Koksal and Ozdemir 2016), breakers (Abbasghorbani and Mashhadi 2013; Abbasghorbani et al 2014), switches and distribution branches. Figure 4 and Table 5 summarize the equipment in works from the literature.…”

Section: Equipmentmentioning

confidence: 99%

Maintenance Planning of Electric Distribution Systems—A Review

Trentini

Guedes

Oliveira

et al. 2020

J Control Autom Electr Syst

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Electric distribution systems have the objective of supplying electricity with quality and reliability to the final consumers. In order to meet both criteria, efficient maintenance programs have a vital importance mainly due to the actual increase in the requirements for distribution service quality and in technologies related to electrical networks. In this sense, the number of options and criteria for developing effective programs makes the related decision-making process a complex task. This paper presents a comprehensive review on maintenance planning in electrical distribution systems covering different criteria such as economic and reliability. More specifically, this work summarizes contributions up to now through a holistic framework that comprises the premises of predictive, preventive and corrective maintenance. The work is organized by relevant aspects of researches in the field, as criteria, probability functions, constraints and methods that have been applied, within a comprehensive classification.

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Section: Equipmentmentioning

confidence: 99%

Maintenance Planning of Electric Distribution Systems—A Review

Trentini

Guedes

Oliveira

et al. 2020

J Control Autom Electr Syst

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“…The next decision making, must be done when minor maintenance must be performed that occasionally may be led to immediate overhaul or postponement of overhaul. The consequence of all maintenance measures arises a stepwise improvement in aging process [16][17][18][19].…”

Section: Probabilistic Asset Management Program (Amp)mentioning

confidence: 99%

Evaluation of Various Maintenance Strategies for Reliability Assessment of Thermal Power Plants

Zarei¹,

Ghaedi-Kajuei²

2017

IJEECS

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In recent years, the world has had a phenomenal economic growth due to the acquisition of innovative technologies and globalization. In the meantime, electrical power plants are regarded as a fundamental element in industrial and production, and any deficiency in supplying may lead to significant financial detriment. Regard to the deep dependency of modern lifestyle to electricity, providing a high-quality and reliable electricity for consumers has taken on paramount importance. The reliability of a power plant depends on the configuration of elements and the reliability of each utility. The reliability, continuous service, flexibility in operation, simplicity, maintenance, development availability, meeting required standards etc. constitute the decisive factors for selection of a utility. Hence, each component of a power system must maintain the adequate level of reliability. In general, the maintenance approaches are classified into two parts: 1- The maintenance which must be carried out within determined and specified time intervals; 2- The maintenance which must be performed when required or in emergencies. To evaluate the maintenance and its effect on reliability, two types of deterministic and probabilistic approaches are presented. In this paper, a comprehensive description of both models is issued, and a detailed comparison is drawn. The results obviously show that the probabilistic models have considerable priority to deterministic models regard to their abilities for maximization of reliability or minimization of costs.

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“…Winding insulation paper can deteriorate abruptly, resulting in unpredictable failure of these transformers, particularly if in contact with oxygen, humidity, and metal contaminants. All these possible scenarios can be avoided if the degradation process is discovered in time [3].…”

Section: Introductionmentioning

confidence: 99%

Intelligent System for the Estimation of Gases Dissolved in Insulating Mineral Oil from Physicochemical Tests

Silva¹,

Flauzino²,

Spatti³

et al. 2020

Application of Expert Systems - Theoretical and Practical Aspects

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The objective of this work was to make the modeling through artificial neural networks of the gas concentrations dissolved in insulating mineral oil from the results of physicochemical tests. In this case, a mapping between the data of physicochemical tests and gas chromatography was obtained by means of artificial neural networks. The proposed approach proved to be efficient to identify the amount of gases, taking the following attributes as input: color degree, density, dielectric rigidity, interfacial tension, power factor of the insulating oil, neutralization index, and water level. In addition, artificial neural networks provide not only a new methodology to support decisions but also satisfactory results comparatively to actual analyses when referring to the estimation of gases.

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Improved transformer maintenance plan for reliability centred asset management of power transmission system

Cited by 34 publications

References 26 publications

Maintenance Planning of Electric Distribution Systems—A Review

Maintenance Planning of Electric Distribution Systems—A Review

Evaluation of Various Maintenance Strategies for Reliability Assessment of Thermal Power Plants

Intelligent System for the Estimation of Gases Dissolved in Insulating Mineral Oil from Physicochemical Tests

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