Simulation Models for IEC 61850 Communication in Electrical Substations Using GOOSE and SMV Time-critical Messages

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Leon, H (Author) Other; Montez, C (Author) Other; Stemmer, M (Author) Other; Francisco Vasques (Author) FEUP

Conference proceedings International

Title: IEEE World Conference on Factory Communication Systems, WFCS 2016, Aveiro, Portugal, May 3-6, 2016

Pages: 1-8

Indexing

ISI Web of Knowledge - 5 Citations

Scopus - 20 Citations

Other information

Authenticus ID: P-00K-MQZ

DOI: 10.1109/WFCS.2016.7496500

Abstract (EN): IEC 61850 is a communication standard for electrical Substation Automation Systems (SAS). It defines both the information model and services used for communication between Intelligent Electronic Devices (IEDs) in a substation. The adoption of this standard brings several advantages for the design and operation of substations. The abstract data models defined in IEC 61850 can be mapped upon application protocols, such as MMS, GOOSE or SMV. These protocols can run upon TCP/IP networks or upon specific high speed Ethernet LANs, in order to match the timing requirements associated to protective relaying mechanisms. For the specific case of GOOSE messages, the standard specifies the use of VLANs (Virtual LANs) with priority tagging (IEEE 802.1q) to implement separate virtual networks with the appropriate message priority levels, in order to ensure the specified response times. The lack of adequate simulation models that enable the response time assessment of both SMV and GOOSE messages is one of the shortcomings of available simulation tools. In this paper, we propose simulation models for the IEC 61850 communication standard, targeting application that use GOOSE and SMV messages. This simulation models has been built upon OMNeT++/INET. The simulation results obtained from a typical IEC 61850 communication scenario show the effectiveness of the developed models. Some of these results have been experimentally validated.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8