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A Comprehensive Review Based on the Game Theory with Energy Management and Tradingoa mark
  • Yarar, Nurcan ;
  • Yoldas, Yeliz ;
  • Bahceci, Serkan ;
  • Onen, Ahmet ;
  • Jung, Jaesung
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Publication Year
2024-08-01
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Energies, Vol.17
Keyword
energy managementenergy tradinggame theorypower systems
Mesh Keyword
Demand side resourcesEnergy marketsEnergy systemsEnergy tradingMicrogridPowerPower gridsPower systemSmart homesVirtual power plants
All Science Classification Codes (ASJC)
Renewable Energy, Sustainability and the EnvironmentFuel TechnologyEngineering (miscellaneous)Energy Engineering and Power TechnologyEnergy (miscellaneous)Control and OptimizationElectrical and Electronic Engineering
Abstract
This paper reviews the use of game theory tools to study the operation and design of modern power grids. The contribution of this work is to summarize the literature to highlight the versatile solution capability of game theory by focusing on the interconnected objectives of energy trading and energy management. This review was conducted with a focus on various applications in energy systems, including general energy markets, micro grids (MGs), virtual power plants (VPP), electric vehicles (EVs), and smart homes, and explores how game theory can summarize the solutions for pricing, bidding, demand side management, and resource optimization. A key finding is the suitability of game theory for modeling decentralized energy systems where strategic incentives can lead to outcomes that benefit both individuals and society. It also discusses the limitations, challenges, and potential benefits of game theory in complex power systems. This study provides researchers and policy makers with a comprehensive overview of current research and insights into the potential of game theory to shape the future of energy systems.
ISSN
1996-1073
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/34380
DOI
https://doi.org/10.3390/en17153749
Fulltext

Type
Review
Funding
This work was supported by the International Energy Joint R&D Program of the Korea Institute of Energy Technology Evaluation and Planning (KETEP), granted financial resources from the Ministry of Trade, Industry & Energy, Republic of Korea. (No. 20228530050030).
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Jung, Jaesung 정재성
Department of Electrical and Computer Engineering
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