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An Adaptive Smart Grid Management Scheme Based on the Coopetition Game Model

  • Kim, Sungwook (Department of Computer Science, Sogang University)
  • Received : 2013.01.11
  • Accepted : 2013.06.03
  • Published : 2014.02.01
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Abstract

Recently, the idea of the smart grid has been gaining significant attention and has become a hot research topic. The purpose of this paper is to present a novel smart grid management scheme that uses game theory principles. In our proposed scheme, power appliances in the smart grid adaptively form groups according to the non-cooperative hedonic game model. By exploiting multi-appliance diversity, appliances in each group are dynamically scheduled in a cooperative manner. For efficient smart grid management, the proposed coopetition game approach is dynamic and flexible to adaptively respond to current system conditions. The main feature is to maximize the overall system performance while satisfying the requirements of individual appliances. Simulation results indicate that our proposed scheme achieves higher energy efficiency and better system performance than other existing schemes.

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References

  1. Z.M. Fadlullah et al., "A Survey of Game Theoretic Approaches in Smart Grid," IEEE Int. Conf. Wireless Commun. Signal Process., Nanjing, China, Nov. 2011, pp. 1-4.
  2. X. Fang et al., "Smart Grid -The New and Improved Power Grid: A Survey," IEEE Commun. Surveys Tutorials, vol. 14, no. 4, 2012, pp. 944-980. https://doi.org/10.1109/SURV.2011.101911.00087
  3. F. Saffre and R. Gedge, "Demand-Side Management for the Smart Grid," IEEE/IFIP Netw. Operations Manag. Symp. Workshop, 2010, pp. 300-303.
  4. W. Saad et al., "Game Theoretic Methods for the Smart Grid," submitted to IEEE Signal Process. Mag., Special Issue Signal Process. Techn. Smart Grid, arXiv:1202.0452v1 [cs.IT], Feb. 2012.
  5. J.E. Suris et al., "Cooperative Game Theory for Distributed Spectrum Sharing," IEEE ICC, June 2007, pp. 5282-5287.
  6. J. Leino, "Applications of Game Theory in Ad Hoc Networks," master's thesis, Helsinki University of Technology, 2003.
  7. Z. Guan, D. Yuan, and H. Zhang, "Novel Coopetition Paradigm Based on Bargaining Theory or Collaborative Multimedia Resource Management," IEEE Int. Symp. PIMRC, Cannes, France, 2008, pp. 1-5.
  8. R.B. Bouncken and V. Fredrich, "Coopetition: Its Successful Management in the Nexus of Dependency and Trust," Proc. PICMET, Portland, OR, USA, 2011, pp. 1-12.
  9. L. Sun and X. Xu, "Coopetitive Game, Equilibrium and Their Applications," Int. Conf. Algorithmic Appl. Manag., 2005, pp. 104-111.
  10. Q. Zhu, Z. Han, and T. Basar, "A Differential Game Approach to Distributed Demand Side Management in Smart Grid," IEEE ICC, 2012, pp. 3345-3350.
  11. S. Bu, F.R. Yu, and P.X. Liu, "A Game-Theoretical Decision- Making Scheme for Electricity Retailers in the Smart Grid with Demand-Side Management," IEEE Int. Conf. SmartGridComm, 2011, pp. 387-391.
  12. Z. Zhu et al., "An Integer Linear Programming Based Optimization for Home Demand-Side Management in Smart Grid," IEEE ISGT, Washington, DC, 2012, pp. 1-5.
  13. T. Logenthiran, D. Srinivasan, and T.Z. Shun, "Demand Side Management in Smart Grid Using Heuristic Optimization," IEEE Trans. Smart Grid, vol. 3, no. 3, 2012, pp. 1244-1252. https://doi.org/10.1109/TSG.2012.2195686
  14. D. Miorandi and F.D. Pellegrini, "Demand-Side Management in Smart Grids: An Evolutionary Games Perspective," Int. Conf. VALUETOOLS, 2012, pp. 178-187.
  15. D. Li, S.K. Jayaweera, and A. Naseri, "Auctioning Game Based Demand Response Scheduling in Smart Grid," IEEE Online Conf. Green Commun., 2011, pp. 58-63.
  16. A. Mohsenian-Rad et al., "Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid," IEEE Trans. Smart Grid, vol. 1, no. 3, 2010, pp. 320-331. https://doi.org/10.1109/TSG.2010.2089069
  17. B. Roossien et al., "Balancing Wind Power Fluctuations with a Domestic Virtual Power Plant in Europe's First Smart Grid," IEEE Trondheim PowerTech, Trondheim, Norway, 2011, pp. 1-5.
  18. J.E.S. de Haan, J. Frunt, and W.L. Kling, "Mitigation of Wind Power Fluctuations in Smart Grids" IEEE ISGT Europe, Gothenburg, Sweden, 2010, pp. 1-8.
  19. M. Vinyals et al., "Stable Coalition Formation Among Energy Consumers in the Smart Grid," Proc. Int. Workshop ATES, 2012, pp. 73-80.
  20. W. Saad et al., "Coalition Formation Games for Distributed Cooperation Among Roadside Units in Vehicular Networks," IEEE J. Sel. Areas Commun., vol. 29, no. 1, 2011, pp. 48-60. https://doi.org/10.1109/JSAC.2011.110106
  21. T. Genin and S. Aknine, "Coalition Formation Strategies for Multiagent Hedonic Games," IEEE Int. Conf. Tools Artificial Intell., 2010, pp. 465-472.
  22. M. Shojafar et al., "An Efficient Scheduling Method for Grid Systems Based on a Hierarchical Stochastic Petri Net," J. Comput. Sci. Eng., vol. 7, no. 1, 2013, pp. 44-52. https://doi.org/10.5626/JCSE.2013.7.1.44
  23. N. Anne and V. Muthukumar, "Energy Aware Scheduling of Aperiodic Real-Time Tasks on Multiprocessor Systems," J. Comput. Sci. Eng., vol. 7, no. 1, 2013, pp. 30-43. https://doi.org/10.5626/JCSE.2013.7.1.30

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