Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications

By Walid Saad, Zhu Han, H. Vincent Poor, Tamer Basar. IEEE Signal Processing Magazine, 2012

953 citations recorded by the source corpus.

The future smart grid is envisioned as a large-scale cyber-physical system encompassing advanced power, communications, control, and computing technologies. In order 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 cyber-physical systems. In this context, this paper 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: micro-grid 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.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/ae912a69c6ae913278268bbf4f229627f1bff3b0

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Citations in the corpus

A game theoretic framework for a next-generation retail electricity market with high penetration of distributed residential electricity suppliers (2014, background): “The nature of the proposed electricity market fits into n-person game theory quite well, and the game theory concept has been successfully applied to power system problems [21,22].”
A Survey on Demand Response Programs in Smart Grids: Pricing Methods and Optimization Algorithms (2015, background): “The interested reader may refer to [214] for an overview of game theoretic models in distributed microgrids.”
Energy Management and Optimization Methods for Grid Energy Storage Systems (2018, background): “Several approaches include scheduling of appliances, storage management, and desigining pricing mechanisms [224].”
Real-Time Energy Storage Management for Renewable Integration in Microgrid: An Off-Line Optimization Approach (2015, neutral): “To address this problem, various methods such as using supplement conventional generation [2] and enabling energy cooperation among neighboring microgrids [3]–[5] have been proposed.”
Peer-to-Peer Trading in Electricity Networks: An Overview (2020, background): “of a canonical coalition game is the core [88].”
Energy Cooperation Optimization in Microgrids With Renewable Energy Integration (2018, background): “With the advances in smart grid technologies, energy cooperation among microgrids has been proposed as a promising new solution to achieve the reliable and cost-effective operation of microgrids [4].”
Energy Peer-to-Peer Trading in Virtual Microgrids in Smart Grids: A Game-Theoretic Approach (2020, background): “Reliable communication systems play vital roles in smart grids [3], [6].”
Control Strategies for Microgrids With Distributed Energy Storage Systems: An Overview (2018, background): “A review of applications for game theory in microgrid control is presented in [37].”
A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches (2015, background): “model the interaction between the power utility and users [70].”
Transforming Energy Networks via Peer to Peer Energy Trading: Potential of Game Theoretic Approaches (2018, background): “, machine learning, artificial intelligence (AI) [4], and game theory [5], have been offered as solutions to consumers.”
Control Techniques in AC, DC, and Hybrid AC–DC Microgrid: A Review (2018, background): “Some work has been reported on the application of these concepts in microgrid communication and controls [142]–[145].”