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An Architecture-Based Framework for Reliability Analysis of ICT for Power Systems
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3922-9606
2011 (English)In: Power and Energy Society General Meeting, 2011 IEEE, 2011Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an architecture based framework for reliability analysis of ICT systems for power system protection, monitoring and control. The analysis framework applies Probabilistic Relational Models (PRMs) - providing a combination of entity-relationship diagrams together with a probabilistic analysis engine of Bayesian networks. Moreover, the framework allows modeling and analysis of the relations between the ICT and the power system, including both physical and logical relations. Three architectural scenarios are presented onto which the analysis framework is applied. By using component failure rates gathered from various sources each scenario is analyzed based on the probability of successful operation. Calculations are preformed using Bayesian networks and contrasted with the application of Reliability Block Diagrams. The outcome verifies the successful use of PRMs for reliability analysis of ICT systems for power system protection, monitoring and control architecture.

Place, publisher, year, edition, pages
2011.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-62798OAI: oai:DiVA.org:kth-62798DiVA: diva2:481134
Conference
IEEE Power and Energy Society General Meeting 2011, San Diego, CA, 24-29 July 2011
Note
QC 20120416Available from: 2012-01-20 Created: 2012-01-20 Last updated: 2014-05-05Bibliographically approved
In thesis
1. Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture
Open this publication in new window or tab >>Analyzing Substation Automation System Reliability using Probabilistic Relational Models and Enterprise Architecture
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Modern society is unquestionably heavily reliant on supply of electricity. Hence, the power system is one of the important infrastructures for future growth. However, the power system of today was designed for a stable radial flow of electricity from large power plants to the customers and not for the type of changes it is presently being exposed to, like large scale integration of electric vehicles, wind power plants, residential photovoltaic systems etc. One aspect of power system control particular exposed to these changes is the design of power system control and protection functionality. Problems occur when the flow of electricity changes from a unidirectional radial flow to a bidirectional. Such an implication requires redesign of control and protection functionality as well as introduction of new information and communication technology (ICT). To make matters worse, the closer the interaction between the power system and the ICT systems the more complex the matter becomes from a reliability perspective. This problem is inherently cyber-physical, including everything from system software to power cables and transformers, rather than the traditional reliability concern of only focusing on power system components.

The contribution of this thesis is a framework for reliability analysis, utilizing system modeling concepts that supports the industrial engineering issues that follow with the imple-mentation of modern substation automation systems. The framework is based on a Bayesian probabilistic analysis engine represented by Probabilistic Relational Models (PRMs) in com-bination with an Enterprise Architecture (EA) modeling formalism. The gradual development of the framework is demonstrated through a number of application scenarios based on substation automation system configurations.

This thesis is a composite thesis consisting of seven papers. Paper 1 presents the framework combining EA, PRMs and Fault Tree Analysis (FTA). Paper 2 adds primary substation equipment as part of the framework. Paper 3 presents a mapping between modeling entities from the EA framework ArchiMate and substation automation system configuration objects from the IEC 61850 standard. Paper 4 introduces object definitions and relations in coherence with EA modeling formalism suitable for the purpose of the analysis framework.

Paper 5 describes an extension of the analysis framework by adding logical operators to the probabilistic analysis engine. Paper 6 presents enhanced failure rates for software components by studying failure logs and an application of the framework to a utility substation automation system. Finally, Paper 7 describes the ability to utilize domain standards for coherent modeling of functions and their interrelations and an application of the framework utilizing software-tool support.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. xiii, 44 p.
Series
TRITA-EE, ISSN 1653-5146 ; 2014:021
Keyword
Reliability analysis, substation automation, Enterprise Architecture, probabilistic analysis, Probabilistic Relational Models, Bayesian networks, software reliability, failure rates, fault tree analysis
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-145006 (URN)978-91-7595-131-7 (ISBN)
Public defence
2014-05-19, Q2, Osquldas väg 10, KTH, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

QC 20140505

Available from: 2014-05-05 Created: 2014-05-05 Last updated: 2014-05-05Bibliographically approved

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Nordström, LarsEkstedt, Mathias

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