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A Comprehensive Study of Game Theory Applications for Smart Grids, Demand side Management Programs and Transportation Networks

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Smart Microgrids

Abstract

Game theory is a powerful analytical tool for modeling decision makers strategies, behaviors and interactions. A Decision maker’s act and decisions can benefit or negatively impact other decision makers interests. Game theory has been broadly used in economics, politics and engineering field. For example, game theory can model decision making procedure of different companies competing with each other to maximize their profit.

In this chapter, we present a brief introduction of game theory formulation and its applications. The focus of chapter is noncooperative Stackelberg game model and its applications in solving power system related problems. These applications include but not limited to; expanding transmission network, improving power system reliability, containing market power in the electricity market, solving power system dispatch, executing demand response and allocating resource in a wireless system. Finally, this chapter elaborates on solving a game theory problem through an example.

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Author information

Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, USA

    Ali Mohammadi

  2. Department of Computer Science, Louisiana State University, Baton Rouge, LA, USA

    Sanaz Rabinia

Authors
  1. Ali Mohammadi
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  2. Sanaz Rabinia
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Correspondence to Ali Mohammadi .

Editor information

Editors and Affiliations

  1. University of British Columbia, Vancouver, BC, Canada

    Shahab Bahrami

  2. Department of Electrical and Computer Engineering, Louisiana State University, Baton Rouge, LA, USA

    Ali Mohammadi

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Mohammadi, A., Rabinia, S. (2019). A Comprehensive Study of Game Theory Applications for Smart Grids, Demand side Management Programs and Transportation Networks. In: Bahrami, S., Mohammadi, A. (eds) Smart Microgrids. Springer, Cham. https://doi.org/10.1007/978-3-030-02656-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-02656-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02655-4

  • Online ISBN: 978-3-030-02656-1

  • eBook Packages: EngineeringEngineering (R0)

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