DOI QR코드

DOI QR Code

GOOSE Traffic Generator Using Network Emulation

네트워크 에뮬레이션을 이용한 GOOSE 트래픽 발생기

  • Hwang, Sung-Ho (Division of Electronics, Communication & Information Engineering, Kangwon National University)
  • 황성호 (강원대학교 전자정보통신공학부)
  • Received : 2016.01.09
  • Accepted : 2016.02.05
  • Published : 2016.02.29

Abstract

IEC 61850 is a protocol used to reduce the cost of design, installation and maintenance of the Substation Automation System. GOOSE traffic used in IEC 61850 plays an important role for control, protection and automation of the substation. This study implemented a GOOSE traffic generator using the emulation function of NS-3 network simulator, by using protocols provided by a network simulator and another protocols provided by real communication equipment. The generated GOOSE traffic was analyzed with Wireshark, and it was found that the traffic was generated exactly as expected. Besides, this study measured the GOOSE traffic delay due to the increase of the number of switches according to network topology. It is expected that the GOOSE traffic generator implemented by this study will be efficiently used when experiments are performed on actual substation environments.

IEC 61850은 변전소 자동화 시스템의 설계, 설치 및 유지하는 비용을 줄이는 프로토콜이다. IEC 61850에서 사용되는 GOOSE 트래픽은 변전소 제어, 보호, 자동화를 위해 중요한 역할을 담당한다. 본 논문에서는 네트워크 시뮬레이터인 NS-3에서 제공하는 프로토콜과 실제 통신장비에서 제공하는 프로토콜을 함께 사용하여, NS-3의 네트워크 에뮬레이션 기능을 이용한 GOOSE 트래픽 발생기를 구현하였다. 발생한 GOOSE 트래픽을 Wireshark으로 분석하였고, 정확히 발생됨을 확인하였다. 네트워크 토폴로지의 스위치 수에 따른 GOOSE 트래픽 지연 측정을 하였다. 본 논문에서의 GOOSE 트래픽 발생기는 실제 변전소 환경을 실험할 때 유용하게 활용될 수 있을 것이다.

Keywords

References

  1. IEC 61850-8-1.; Communication networks and systems in substations - Specific Communication Service Mapping (SCSM) Mappings to MMS (ISO 9506-1 and ISO 9506-2) and to ISO/IEC 8802-3, International Electrotechnical Commission (IEC), 2003.
  2. NS-3 Open-Source Network Simulator, version 3.23. [Online]. Available:http://www.nsnam.org. [Accessed: October. 15, 2015].
  3. Wireshark Network Protocol Analyzer, version 2.0.1 [Online]. Available: http://www.wireshark.org. [Accessed: Dec. 15, 2015].
  4. Kee-Min Kim, et al 4, "Wireless Sensor Network based Remote Power Monitoring System for Anti Islanding application in Smart-Grid", The Journal of The Institute of Internet, Broadcasting and Communication (JIIBC), vol. 10, no. 4, pp. 57-62, 2010. 8.
  5. Sunny Ro, et al 4, "Development of a Smart Grid Monitoring System with Anti-Islanding Function for Electric Vehicle Charging", The Journal of The Institute of Internet, Broadcasting and Communication(JIIBC), vol. 12, no. 5, pp. 31-37, 2012. 10. DOI: http://dx.doi.org/10.7236/JIWIT. 2012.12.5.31
  6. Sami S. et al 3, "Performance analysis of Centralized, Distributed and Hybrid Demand Load Control architecture for Smart power Grid" Journal of the Korea Academia-Industrial cooperation Society (JKAIS), Smart Computing Review, vol. 2, no. 5, pp. 370-378, 2012. 10. DOI: http://dx.doi.org/10.6029/smartcr.2012.05.007