• DocumentCode
    3733676
  • Title

    Co-simulation framework based on power system, AI and communication tools for evaluating smart grid applications

  • Author

    Ishtiaq Ahmad;Jawad Haider Kazmi;Mohsin Shahzad;Peter Palensky;Wolfgang Gawlik

  • Author_Institution
    Energy Department, AIT Austrian Institute of Technology, Vienna, Austria
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Numerical simulation has become essential tool of the design process and is widely used for the validation and evaluation of smart grid solutions and applications. However, domain specific tools are able to model a system only for a particular domain i.e., electric power system tool can model only power systems and for a intelligent control it has no provision to design AI based decision making algorithms, which can be developed in Multi-agent System tool. Thus for in-depth realistic analysis a co-simulation approach is required for simulating multi-domain systems. This paper presents a framework for co-simulation with the tools from three different domains covering power system, artificial intelligence and communication to simulate and analyse the smart grid applications. DigSILENT PowerFactory, a dedicated power system simulator, is interfaced with JADE (Java Agent Based Environment), an AI tool, using Application Programming Interface (API) through Python script. OMNeT++ was used as a communication simulator. Problem of voltage stabilization in power distribution network was addressed using Multi-Agent System (MAS) based approach for the validation of the proposed framework. Results show that co-simulation approach is effective for the realistic analysis of smartgrid applications.
  • Keywords
    "Smart grids","Power system stability","Intelligent control","Artificial intelligence","Analytical models","Multi-agent systems"
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Technologies - Asia (ISGT ASIA), 2015 IEEE Innovative
  • Electronic_ISBN
    2378-8542
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2015.7387092
  • Filename
    7387092