Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance

In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the in...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Diego A. Zaldivar, Andres A. Romero, Sergio R. Rivera
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	risk assessment health index power transformers fuzzy logic importance index Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
Acceso en línea:	https://doaj.org/article/eced3c58e5f04fcbb4b154288a350b17
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:eced3c58e5f04fcbb4b154288a350b17
record_format	dspace
spelling	oai:doaj.org-article:eced3c58e5f04fcbb4b154288a350b172021-11-25T16:13:08ZRisk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance10.3390/a141103191999-4893https://doaj.org/article/eced3c58e5f04fcbb4b154288a350b172021-10-01T00:00:00Zhttps://www.mdpi.com/1999-4893/14/11/319https://doaj.org/toc/1999-4893In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the inherent risk during the operation of PT. However, most proposed methodologies tend to analyze PT as individuals and not as a fleet. A fleet assessment helps the asset manager make sound decisions regarding the maintenance scheduling for groups of PT with similar conditions. This paper proposes a new methodology to assess the risk of PT fleets, considering the technical condition and the strategic importance of the units. First, the state of the units was evaluated using a health index (HI) with a fuzzy logic algorithm. Then, the strategic importance of each unit was assessed using a weighting technique to obtain the importance index (<i>II</i>). Finally, the analyzed units with similar HI and <i>II</i> were arranged into a set of clusters using the k-means clustering technique. A fleet of 19 PTs was used to validate the proposed method. The obtained results are also provided to demonstrate the viability and feasibility of the assessment model.Diego A. ZaldivarAndres A. RomeroSergio R. RiveraMDPI AGarticlerisk assessmenthealth indexpower transformersfuzzy logicimportance indexIndustrial engineering. Management engineeringT55.4-60.8Electronic computers. Computer scienceQA75.5-76.95ENAlgorithms, Vol 14, Iss 319, p 319 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	risk assessment health index power transformers fuzzy logic importance index Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95
spellingShingle	risk assessment health index power transformers fuzzy logic importance index Industrial engineering. Management engineering T55.4-60.8 Electronic computers. Computer science QA75.5-76.95 Diego A. Zaldivar Andres A. Romero Sergio R. Rivera Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
description	In every electric power system, power transformers (PT) play a critical role. Under ideal circumstances, PT should receive the utmost care to maintain the highest operative condition during their lifetime. Through the years, different approaches have been developed to assess the condition and the inherent risk during the operation of PT. However, most proposed methodologies tend to analyze PT as individuals and not as a fleet. A fleet assessment helps the asset manager make sound decisions regarding the maintenance scheduling for groups of PT with similar conditions. This paper proposes a new methodology to assess the risk of PT fleets, considering the technical condition and the strategic importance of the units. First, the state of the units was evaluated using a health index (HI) with a fuzzy logic algorithm. Then, the strategic importance of each unit was assessed using a weighting technique to obtain the importance index (<i>II</i>). Finally, the analyzed units with similar HI and <i>II</i> were arranged into a set of clusters using the k-means clustering technique. A fleet of 19 PTs was used to validate the proposed method. The obtained results are also provided to demonstrate the viability and feasibility of the assessment model.
format	article
author	Diego A. Zaldivar Andres A. Romero Sergio R. Rivera
author_facet	Diego A. Zaldivar Andres A. Romero Sergio R. Rivera
author_sort	Diego A. Zaldivar
title	Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
title_short	Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
title_full	Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
title_fullStr	Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
title_full_unstemmed	Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance
title_sort	risk assessment algorithm for power transformer fleets based on condition and strategic importance
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/eced3c58e5f04fcbb4b154288a350b17
work_keys_str_mv	AT diegoazaldivar riskassessmentalgorithmforpowertransformerfleetsbasedonconditionandstrategicimportance AT andresaromero riskassessmentalgorithmforpowertransformerfleetsbasedonconditionandstrategicimportance AT sergiorrivera riskassessmentalgorithmforpowertransformerfleetsbasedonconditionandstrategicimportance
_version_	1718413291053645824

Risk Assessment Algorithm for Power Transformer Fleets Based on Condition and Strategic Importance

Ejemplares similares