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Modeling of Communication Infrastructure Compatible to Nordic 32 Power System
KTH, School of Electrical Engineering (EES), Centres, Swedish Centre of Excellence in Electric Power Engineering, EKC2. KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0002-6330-3055
KTH, School of Electrical Engineering (EES), Centres, Swedish Centre of Excellence in Electric Power Engineering, EKC2. KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems.ORCID iD: 0000-0003-3946-7655
KTH, School of Electrical Engineering (EES), Industrial Information and Control Systems. (PSMIX)ORCID iD: 0000-0003-3014-5609
2016 (English)In: IEEE-Power-and-Energy-Society General Meeting 2016, IEEE, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Smart Grid integrates communication and computationtechnologies into power systems. Research on interdisciplinarytopics between power system and communicationsystems requires models for both systems. There are severalpower system models available representing standard powersystems and real power systems. However, lacking of theircorresponding communication infrastructure information leadsthe difficulty of communication system modeling. In this paper,a communication infrastructure model compatible to Nordic 32power system model has been developed and presented. In thismodel, Wide Area Monitoring System (WAMS) is incorporatedwith Supervisor Control and Data Acquisition system. Theparameters of this model are based on the data from a Nordicelectric power utility. Validation of the model is performedthrough comparison of results from simulation and a previousempirical data study performed on the same utility network. Inadditional, this model is simulated by using different Qualityof Service (QoS) mechanism. The obtained results show thatcongestion management mechanisms introduce additional delayto the highest priority traffic slightly. But traffics with lowerpriority can be benefit from congestion management mechanisms.The proposed model can be widely used for other research onNordic 32 power system.

Place, publisher, year, edition, pages
IEEE, 2016.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-178167DOI: 10.1109/PESGM.2016.7741521ISI: 000399937901161Scopus ID: 2-s2.0-85001959389OAI: oai:DiVA.org:kth-178167DiVA: diva2:877668
Conference
IEEE PES GM 2016
Note

QC 20170313

Available from: 2015-12-07 Created: 2015-12-07 Last updated: 2017-06-15Bibliographically approved

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Yiming, WuBabazadeh, DavoodNordström, Lars

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