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Modelling and evaluating non-functional aspects of integrated protection 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.
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-3293-1681
2008 (English)In: Int. Conf. Large High Voltage Electr. Syst., CIGRE, 2008Conference paper, Published paper (Refereed)
Abstract [en]

The later years of development within information and communication technologies (ICT) have enabled power system control to make greater use of new types of sensors, communication systems, and distributed computer platforms. Traditionally centralized SCADA/EMS solutions with local protection systems are merging into integrated protection and control systems utilizing for example wide area measurements. In such control system architectures, functionality needed for control and protection of the power system can be located at any platform within the distributed ICT platform. An example of this development is the use of autonomous systems and intelligent agents for power system control and operation. Another development is loosely coupled system architectures built on Service Oriented Architectures. Although these ICT based control technologies appear to offer possibilities of improved power system operation and control, they of course cannot be implemented if the overall security and safety requirements on the power system cannot be met. An obvious concern to raise regarding implementation of such systems for power system control and operation is the non-functional aspects of the systems in terms of their performance, dependability, interoperability and level of information security and how these effect the stability and safety of the power system. To address this challenge, we present a framework for modeling and evaluation of integrated protection and control systems that includes a wide range of non-functional aspects and offers support for decision making in design of such systems. The method is based on modeling concepts developed within the area of Enterprise Architecture and the use of a formalism termed Extended Influence Diagrams (EID). The EIDs are used to represent the relation between the attributes that constitute the non-functional aspects in question. The factors represented in the EIDs are all theoretically grounded and empirically established within the research community. The representation of the factors in EIDs further allows the evaluation of their inter-dependence using Bayesian logic. Based on the factors and their relation as described in the EID, modeling semantics for control system components that include these attributes are defined. By creating models of the intended system using these semantics, an engineer can evaluate the effect on the non-functional aspects under study from the design decisions taken.

Place, publisher, year, edition, pages
2008.
Series
42nd International Conference on Large High Voltage Electric Systems 2008, CIGRE 2008
Keyword [en]
Bayesian logic, Distributed Systems, Enterprise Architecture, System Integration, Bayesian, Control system architecture, Information and Communication Technologies, Integrated protection and control, Power system operation and controls, Control systems, Electric power system protection, Information services, Information technology, Intelligent agents, Network security, Semantics, Service oriented architecture (SOA), Interoperability
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-152166Scopus ID: 2-s2.0-84876778049OAI: oai:DiVA.org:kth-152166DiVA: diva2:751854
Conference
42nd International Conference on Large High Voltage Electric Systems 2008, CIGRE 2008, 24-29 August 2008, Paris, France
Note

QC 20141002

Available from: 2014-10-02 Created: 2014-09-23 Last updated: 2014-10-02Bibliographically approved

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Nordstrom, LarsJohnson, Pontus

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