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On the Role of Data...
On the Role of Data Quality and Availability in Power System Asset Management
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- Naim, Wadih (author)
- KTH,Elektroteknisk teori och konstruktion,QED Asset Management
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- Hilber, Patrik, 1975- (thesis advisor)
- KTH,Elektroteknisk teori och konstruktion
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- Shayesteh, Ebrahim (thesis advisor)
- KTH,Elektroteknisk teori och konstruktion
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- Galar, Diego, Professor (opponent)
- Luleå University of Technology
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(creator_code:org_t)
- ISBN 9789178739080
- Stockholm : KTH Royal Institute of Technology, 2021
- English 62 s.
- Related links:
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https://kth.diva-por... (primary) (Raw object)
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Abstract
Subject headings
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- In power system asset management, component data is crucial for decision making. This thesis mainly focuses on two aspects of asset data: data quality and data availability.The quality level of data has a great impact on the optimality of asset management decisions. The goal is to quantify the impact of data errors from a maintenance optimization perspective using random population studies. In quantitative terms, the impact of data quality can be evaluated financially and technically. The financial impact is the total maintenance cost per year of a specific scenario in a population of components, whereas the technical impact is the loss of a component's useful technical lifetime due to sub-optimal replacement time. Using Monte-Carlo simulation techniques, those impacts are analyzed in a case study of a simplified random population of independent and non-repairable components. The results show that missing data has a larger impact on cost and replacement year estimation than that of under- or over-estimated data. Additionally, depending on problem parameters, after a certain threshold of missing data probability, the estimation of cost and replacement year becomes unreliable. Thus, effective decision making for a certain population of components requires ensuring a minimum level of data quality.Data availability is another challenge that faces power system asset managers. Data can be lacking due to several factors including censoring, restricted access, or absence of data acquisition. These factors are addressed in this thesis from a decision making point of view through case studies at the operation and maintenance levels. Data censoring is handled as a data quality problem using a Monte-Carlo simulation. While the problems of restricted access and absence of data acquisition are studied using event trees and multiphysics modelling. While the quantitative data quality problem can be abstract, and thus applicable to different types of physical assets, the data availability problem requires a case-by-case analysis to reach an effective decision making strategy.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Annan elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Other Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Data quality
- asset management
- power systems
- maintenance optimization
- Electrical Engineering
- Elektro- och systemteknik
Publication and Content Type
- vet (subject category)
- lic (subject category)
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