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An extended 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.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-2017-7914
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3014-5609
2011 (English)In: 2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011, IEEE , 2011, 6019343- p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an extended probabilistic framework for reliability analysis of Information and Communication Technology (ICT) for power systems. The framework is based on Probabilistic Relational Models (PRMs) and includes the analysis of both primary equipment and the supporting ICT systems. The framework also separates between the functional structure and the physical infrastructure. To be able to analyze architectural properties, such as redundancy, the framework is extended with logical gates which are based on AND and OR logic. The gates serve and important purpose when integrating the framework into an analysis tool that supports PRMs. The problem without logical gates is the dynamic sizing of the conditional probability tables which depend on the number of parent nodes. This problem is solved by using aggregation functions. The application of the extended framework is demonstrated by applying to an example system-architecture with two types of redundant configurations.

Place, publisher, year, edition, pages
IEEE , 2011. 6019343- p.
Keyword [en]
Bayesian networks, Logical Gates, Power Systems, Probabilistic Relational Models, Reliability, Substation Automation, Aggregation functions, Analysis tools, Architectural properties, Conditional probability tables, Functional structure, Information and Communication Technologies, Parent node, Primary equipments, Probabilistic framework, Redundant configuration, Power transmission, Reliability analysis, Standby power systems, Sustainable development, Information technology
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-49925DOI: 10.1109/PTC.2011.6019343Scopus ID: 2-s2.0-80053368557ISBN: 978-142448419-5 (print)OAI: oai:DiVA.org:kth-49925DiVA: diva2:460692
Conference
2011 IEEE PES Trondheim PowerTech: The Power of Technology for a Sustainable Society, POWERTECH 2011; Trondheim; 19 June 2011 through 23 June 2011
Note
QC 20111201Available from: 2011-11-30 Created: 2011-11-30 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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Franke, UlrikNordström, Lars

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