Game-theoretic methods for the smart grid: An overview of microgrid systems, demand-side management, and smart grid communications

Walid Saad, Zhu Han, H. Vincent Poor, Tamer Başar

Research output: Contribution to journalReview article

493 Scopus citations

Abstract

The future smart grid is envisioned as a large scale cyberphysical system encompassing advanced power, communications, control, and computing technologies. To accommodate these technologies, it will have to build on solid mathematical tools that can ensure an efficient and robust operation of such heterogeneous and large-scale cyberphysical systems. In this context, this article is an overview on the potential of applying game theory for addressing relevant and timely open problems in three emerging areas that pertain to the smart grid: microgrid systems, demand-side management, and communications. In each area, the state-of-the-art contributions are gathered and a systematic treatment, using game theory, of some of the most relevant problems for future power systems is provided. Future opportunities for adopting game-theoretic methodologies in the transition from legacy systems toward smart and intelligent grids are also discussed. In a nutshell, this article provides a comprehensive account of the application of game theory in smart grid systems tailored to the interdisciplinary characteristics of these systems that integrate components from power systems, networking, communications, and control.

Original languageEnglish (US)
Article number6279592
Pages (from-to)86-105
Number of pages20
JournalIEEE Signal Processing Magazine
Volume29
Issue number5
DOIs
StatePublished - 2012

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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