Using Multi-Agent Systems for Hardware Upgrade Advice in Smart Grid Simulations

  • Ala Shaabana
  • Sami Syed
  • Ziad Kobti
  • Kemal Tepe
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 247)


The environmental impact of the petroleum-based infrastructure has led to renewed interest in electrical transport infrastructures during the past few decades. However, the impact of plug-in hybrid electric vehicles (PHEV) on electrical distribution and generation systems is not yet fully understood. This poses challenges to distribution and generation companies on how to retool their distribution and generation systems to meet and supply increased future demand. Furthermore, having unpredictable and uncontrollable generation patterns of renewable energy sources in the grid makes it even harder to manage supply and demand in the grid. The ultimate goal is to provide a tool for engineers to further understand and evaluate potential grid infrastructures under different operating conditions. With this simulator, the grid can be evaluated with different hardware and operating conditions to maximize resources. As such, utilities and generation companies can evaluate and test different strategies to upgrade the infrastructure to improve reliability and generation capacity to effectively meet demand.


Artificial intelligence Energy conservation Multi-agent system Plug-in hybrid electric vehicle Renewable energy Simulation Smart grid 



The authors acknowledge the contributions of the National Sciences and Engineering Research Council (NSERC).


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Ala Shaabana
    • 1
  • Sami Syed
    • 2
  • Ziad Kobti
    • 1
  • Kemal Tepe
    • 2
  1. 1.School of Computer ScienceUniversity of WindsorWindsorCanada
  2. 2.Department of Electrical and Computer EngineeringUniversity of WindsorWindsorCanada

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