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A Scorecard Approach to Track Reliability Performance of Distribution System Operators
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (RCAM)ORCID iD: 0000-0002-3543-9326
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX Group)ORCID iD: 0000-0003-3014-5609
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. (Reliability Centred Asset Management (RCAM) Group)ORCID iD: 0000-0002-2964-7233
2015 (English)In: CIRED 2015: 23rd International Conference on Electricity Distribution, CIRED - Congrès International des Réseaux Electriques de Distribution, 2015Conference paper, Published paper (Refereed)
Abstract [en]

Firstly, this paper reviews the current process of reporting reliability data in Sweden. Limitations of reliability indices such as SAIDI and SAIFI are discussed and the need for more reliability measures is stated. The paper suggests the introduction of a reliability performance scorecard to analyse reliability measures in an organized system under different aspects. Furthermore, a set of measurements is provided that can be used to assess a utility’s reliability performance. The use of the scorecard is discussed and its applicability for implementing and tracking regulations. This would result in a better policy-making and a decreased pressure on electric utilities due to a higher understanding of what companies invest to achieve a reliable supply of energy.

Place, publisher, year, edition, pages
CIRED - Congrès International des Réseaux Electriques de Distribution, 2015.
Keyword [en]
Scorecard, Reliability Performance, Distribution System Operator
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Business Studies
Identifiers
URN: urn:nbn:se:kth:diva-172843OAI: oai:DiVA.org:kth-172843DiVA: diva2:850098
Conference
23rd International Conference on Electricity Distribution - CIRED Lyon, 15-18 June 2015
Note

QC 20151015

Available from: 2015-08-31 Created: 2015-08-31 Last updated: 2016-05-26Bibliographically approved
In thesis
1. Condition-based Failure Rate Modelling for Individual Components in the Power System
Open this publication in new window or tab >>Condition-based Failure Rate Modelling for Individual Components in the Power System
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The electrical power grid is one of the most important infrastructures in the modernsociety. It supplies industrial and private customers with electricity and supportsother critical infrastructures such as the water supply. Thus, it is significant that the power grid is a reliable system. However, the power system experiences a hugetransition from classical production methods such as coal and nuclear power plantsto distributed renewable energy forms such as wind energy and photovoltaic. This change to a more distributed system challenges the existing power grid as well as the traditional business models of electric utilities. Thus, cost minimization to increase profitability and improvement of the power grid to increase customer satisfactionare in the focus. One approach to increase the reliability of the grid and decrease maintenance costs is a condition-based maintenance approach which requirescondition monitoring techniques.

This thesis introduces into failure rate modelling for individual power system components and develops a method to calculate individual failure rates based onthe average failure rate, failure statistics, and condition monitoring data. This approach includes the analysis of failure statistics to identify failure causes and failure locations which are population characteristics but can be utilized to describe the heterogeneity within the population. Thus, the thesis first introduces into the topic of failure analysis and heterogeneity in populations. Different factors are identified and categorized which describe the condition development of a component overtime. Then, the literature within failure rate estimation is reviewed to present the factors which are used within failure rate modelling and to outline the existingmethods which consider the individual. However, limitations are discussed which emphasize the demand for a new approach. Consequently, this thesis introduce intoa new approach for estimating the failure rate for individual components.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2016. 33 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2016:079
Keyword
Asset management, condition monitoring, diagnostic measures, failure rate, failure rate modeling, transformer diagnostics
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering
Identifiers
urn:nbn:se:kth:diva-187701 (URN)978-91-7729-031-5 (ISBN)
Presentation
2016-06-08, KTH Main Campus, Q22, Osquldas väg 6B, Stockholm, 16:08 (English)
Opponent
Supervisors
Projects
Energiforsk AB risk analysis program
Note

QC 20160526

Available from: 2016-05-26 Created: 2016-05-26 Last updated: 2016-10-26Bibliographically approved

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Jürgensen, Jan HenningNordström, Lars

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