S2Sim: Smart Grid Swarm Simulator
Alper Sinan Akyurek, Baris Aksanli, Tajana Simunic Rosing

Citation
Alper Sinan Akyurek, Baris Aksanli, Tajana Simunic Rosing. "S2Sim: Smart Grid Swarm Simulator". International Green & Sustainable Computing Conference 2015, 14, December, 2015.

Abstract
The Smart Grid is drawing attention from various research areas. Distributed control algorithms at different scales within the grid are being developed and deployed; yet their effects on each other and the grid's health and stability has not been sufficiently studied due to the lack of a capable simulator. Simulators in the literature can solve the power flow by modeling the physical system, but fail to address the cyber physical aspect of the smart grid with multiple agents. To answer these questions, we have developed S2Sim: Smart Grid Swarm Simulator. S2Sim allows any object within the grid to have its own independent control, transforming physical elements into cyber-physical representations. Objects can have any size ranging from a light bulb to a whole microgrid and their representative data can be supplied from a real device, simulation, distributed control algorithm or a database. S2Sim shields the complexity of the power flow solution from the control algorithms and directly supplies information on system stability. This information can be used to give feedback signals like price or regulation incentives by virtual coordinators to form closed-loop control. Using three case studies, we illustrate how different distributed control algorithms can have varying effects on system stability, which would go undetected in the absence of our simulator. Furthermore, our case studies show that control algorithms can't be justified without being tested within the grid.

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Citation formats

• HTML

  Alper Sinan Akyurek, Baris Aksanli, Tajana Simunic Rosing.
  <a
  href="http://www.terraswarm.org/pubs/622.html"
  >S2Sim: Smart Grid Swarm Simulator</a>,
  International Green & Sustainable Computing Conference
  2015, 14, December, 2015.

• Plain text

  Alper Sinan Akyurek, Baris Aksanli, Tajana Simunic Rosing.
  "S2Sim: Smart Grid Swarm Simulator". International
  Green & Sustainable Computing Conference 2015, 14,
  December, 2015.

• BibTeX

  @inproceedings{AkyurekAksanliRosing15_S2SimSmartGridSwarmSimulator,
      author = {Alper Sinan Akyurek and Baris Aksanli and Tajana
                Simunic Rosing},
      title = {S2Sim: Smart Grid Swarm Simulator},
      booktitle = {International Green \& Sustainable Computing
                Conference 2015},
      day = {14},
      month = {December},
      year = {2015},
      abstract = {The Smart Grid is drawing attention from various
                research areas. Distributed control algorithms at
                different scales within the grid are being
                developed and deployed; yet their effects on each
                other and the grid's health and stability has not
                been sufficiently studied due to the lack of a
                capable simulator. Simulators in the literature
                can solve the power flow by modeling the physical
                system, but fail to address the cyber physical
                aspect of the smart grid with multiple agents. To
                answer these questions, we have developed S2Sim:
                Smart Grid Swarm Simulator. S2Sim allows any
                object within the grid to have its own independent
                control, transforming physical elements into
                cyber-physical representations. Objects can have
                any size ranging from a light bulb to a whole
                microgrid and their representative data can be
                supplied from a real device, simulation,
                distributed control algorithm or a database. S2Sim
                shields the complexity of the power flow solution
                from the control algorithms and directly supplies
                information on system stability. This information
                can be used to give feedback signals like price or
                regulation incentives by virtual coordinators to
                form closed-loop control. Using three case
                studies, we illustrate how different distributed
                control algorithms can have varying effects on
                system stability, which would go undetected in the
                absence of our simulator. Furthermore, our case
                studies show that control algorithms can't be
                justified without being tested within the grid.},
      URL = {http://terraswarm.org/pubs/622.html}
  }
  

Posted by Alper Sinan Akyurek on 27 Sep 2015.