JADE-Based Information Physical System Co-simulation Environment for Smart Distribution Networks

  • Yijia Cao
  • Yong LiEmail author
  • Xuan Liu
  • Christian Rehtanz


With the development of power electronics and communication technology, more distributed generators, energy storage devices, and electric vehicles are connected to the distribution network and bring many problems, such as multi-direction power flow and three-phase unbalance. To solve these problems, many methods based on advanced Information and Communications Technology (ICT) and multi-agent system (MAS) have been proposed.


  1. 1.
    Huang AQ, Crow ML, Heydt GT, Zhang JP, Dale SJ (2011) The future renewable electric energy delivery and management (FREEDM) system: the energy internet. Proc IEEE 99(1):133–148CrossRefGoogle Scholar
  2. 2.
    Safdarian A, Fotuhi-Firuzabad M, Lehtonen M (2014) A distributed algorithm for managing residential demand response in smart grids. IEEE Trans Ind Inform 10(4):2385–2393CrossRefGoogle Scholar
  3. 3.
    Hopkinson K, Wang XR, Giovanini R, Thorp J, Birman K, Coury D (2006) EPOCHS: a platform for agent-based electric power and communication simulation built from commercial off-the-shelf components. IEEE Trans Power Syst 21(2):548–558CrossRefGoogle Scholar
  4. 4.
    Ross KJ, Hopkinson KM, Pachter M (2013) Using a distributed agent-based communication enabled special protection system to enhance smart grid security. IEEE Trans Smart Grid 4(2):1216–1224CrossRefGoogle Scholar
  5. 5.
    Li W, Monti A, Luo M, Dougal RA (2011) VPNET: a co-simulation framework for analyzing communication channel effects on power systems. In: IEEE electric ship technologies symposium, Alexandria, VA, April 2011Google Scholar
  6. 6.
    Nutaro J, Kuruganti PT, Miller L, Mullen S, Shankar M (2007) Integrated hybrid-simulation of electric power and communications systems. In: IEEE power engineering society general meeting, Tampa, FL, June 2007Google Scholar
  7. 7.
    Liberatore V, Al-Hammouri A (2011) Smart grid communication and co-simulation. In: IEEE Energytech, Cleveland, OH, May 2011Google Scholar
  8. 8.
    Lin H, Veda SS, Shukla SS, Mili L, Thorp J (2012) GECO: global event-driven co-simulation framework for interconnected power system and communication network. IEEE Trans Smart Grid 3(3):1444–1456CrossRefGoogle Scholar
  9. 9.
    Chabukswar R, Sinopoli B, Karsai G, Giani A, Neema H, Davis A (2010) Simulation of network attacks on SCADA systems. In: First workshop on secure control systems, cyber physical systems week, Stockholm, Sweden, April 2010Google Scholar
  10. 10.
    Riley D, Eyisi E, Bai J, Koutsoukos X, Xue Y, Sztipanovits J (2011) Networked control system wind tunnel (NCSWT): an evaluation tool for networked multiagent systems. In: International ICST conference on simulation tools and techniques, Brussels, BelgiumGoogle Scholar
  11. 11.
    Georg H, Müller SC, Dorsch N, Rehtanz C, Wietfeld C (2013) INSPIRE: integrated co-simulation of power and ICT systems for real-time evaluation. In: Proceedings of 4th IEEE international conference on smart grid communications, Vancouver, BC, Oct 2013Google Scholar
  12. 12.
    Georg H, Müller SC, Rehtanz C, Wietfeld C (2014) Analyzing cyber-physical energy systems: the INSPIRE Co-simulation of power and ICT systems using HLA. IEEE Trans Ind Inform 10(4):2364–2373CrossRefGoogle Scholar
  13. 13.
    Queiroz C, Mahmood A, Tari Z (2011) SCADASim—a framework for building SCADA simulations. IEEE Trans Smart Grid 2(4):589–597CrossRefGoogle Scholar
  14. 14.
    SPARKS (2016) Deliverable 2.4 smart grid cyber security simulation environmentGoogle Scholar
  15. 15.
    Mallouhi M, Al-Nashif Y, Cox D, Chadaga T, Hariri S (2011) A testbed for analyzing security of SCADA control systems (TASSCS). In: IEEE PES innovative smart grid technologies, Hilton Anaheim, CA, Jan 2011Google Scholar
  16. 16.
    Duan Y, Luo L, Li Y, Cao Y, Rehtanz C, Küch M (2017) Co-simulation of distributed control system based on JADE for smart distribution networks with distributed generations. IET Gen Transm Distrib 11(12):3097–3105CrossRefGoogle Scholar
  17. 17.
    Gonzalez-Longatt F, Rueda JL (2014) PowerFactory applications for power system analysis. Springer (Dec)Google Scholar
  18. 18.
    Wehrle K, Gunes M, Gross J (2010) Modeling and tools for network simulation. Springer (Sept)Google Scholar
  19. 19.
    Bellifemine F, Caire G, Greenwood D (2007) Developing multi-agent systems with JADE. Wiley Series in Agent Technology (Feb)Google Scholar
  20. 20.
    Louis V, Martinez T (2005) An operational model for the FIPA-ACL semantics. In: International workshops on agent communication, Utrecht, Netherlands, July 2005Google Scholar
  21. 21.
    Breunig MM, Kriegel HP, Ng RT (2000) LOF: identifying density-based local outliers. In: Proceedings of ACM SIGMOD2000 international conference on management of data, Dalles, TXGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Yijia Cao
    • 1
  • Yong Li
    • 2
    Email author
  • Xuan Liu
    • 3
  • Christian Rehtanz
    • 4
  1. 1.College of Electrical and Information EngineeringHunan UniversityChangshaChina
  2. 2.College of Electrical and Information EngineeringHunan UniversityChangshaChina
  3. 3.College of Electrical and Information EngineeringHunan UniversityChangshaChina
  4. 4.LS Energiesysteme und EnergiewirtschaftTU Dortmund UniversityDortmundGermany

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