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Research Article | Open Access |

A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage

Author 1: Aritra Kumar Lahiri Author 2: Ashwin Vasani Author 3: Sumanth Kulkarni Author 4: Nishant Rawat
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 2 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090204

Abstract

A smart grid is an advancement in electrical grid which includes a variety of operational and energy measures. To utilize energy distribution in an efficient manner, demand side management has become the fore-runner. In our research paper, we use game theory as a tool to model our system as a Stackelberg game. We make use of different energy sources like solar energy, energy from battery and energy from the provider to run appliances of a subscriber. We consider the scenario where the subscriber can give excess energy that is generated, back to the grid, thereby reducing the load on the grid during peak hours. We design a pricing scheme to calculate the utilities of the subscriber and the provider and show how our model maximizes the utility of the entire system, thereby showing the existence of a Nash equilibrium.

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How to Cite this Article

Lahiri, A. K., Vasani, A., Kulkarni, S., & Rawat, N. (2018). A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage. International Journal of Advanced Computer Science and Applications, 9(2). https://doi.org/10.14569/IJACSA.2018.090204

Lahiri, Aritra Kumar, et al.. "A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage." International Journal of Advanced Computer Science and Applications, vol. 9, no. 2, 2018, https://doi.org/10.14569/IJACSA.2018.090204.

@article{Lahiri2018,
  title     = {A Game Theoretic Approach to Demand Side Management in Smart Grid with Multiple Energy Sources and Storage},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {2},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Aritra Kumar Lahiri and Ashwin Vasani and Sumanth Kulkarni and Nishant Rawat},
  doi       = {10.14569/IJACSA.2018.090204},
  url       = {https://doi.org/10.14569/IJACSA.2018.090204}
}

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