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Probabilistic Availability Analysis of Control and Automation Systems for Active Distribution Networks
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
Abstract [en]

The future smart electricity grids will exhibit tight integration between control and automation systems and primary power system equipment. Optimal and safe operation of the power system will be completely dependent on well functioning information and communication (ICT) systems. Considering this, it is essential that the control and automation systems do not constitute the weak link in ensuring reliable power supply to society. At the same time, studies of reliability when considering complex interdependencies between integrated ICT systems becomes increasingly difficult to perform due to the large amount of integrated entities with varying characteristics involved. To manage this challenge there is a need for structured modeling and analysis methods that accommodate this characteristics and interdependencies. In other fields, the analysis of large interconnected systems is done using models that capture the systems and its context as well as its components and interactions. This paper addresses this issue by combining enterprise architecture methods that utilize these modeling concepts, with fault tree analysis and probabilistic relational models. This novel approach enables a holistic overview thanks to the use of formalized models. It also allows use of rigorous analysis thanks to the adaptation of the models to enable Fault Tree Analysis. The paper is concluded with an example of application of the analysis method on a proposed smart grid function in a distribution network.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2010.
Keyword [en]
System Analysis, Substation Automation, Availability, Fault Tree Analysis, Enterprise Architecture, Probabilistic Relational Models
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-32136DOI: 10.1109/TDC.2010.5484364ISI: 000287530800164ScopusID: 2-s2.0-77954804934ISBN: 978-1-4244-6547-7OAI: diva2:409281
2010 IEEE PES Transmission and Distribution Conference and Exposition - Smar Solutions for a Changing World New Orleans, LA, APR 19-22, 2010
QC 20110407Available from: 2011-04-07 Created: 2011-04-07 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.
TRITA-EE, ISSN 1653-5146 ; 2014:021
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
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)

QC 20140505

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

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