The integration of renewable energy sources and the increasing complexity of power systems have led to the development of smart grids, which rely heavily on intelligent technologies for efficient management and operation. One such technology is multi-agent systems (MAS), which offer a decentralized and cooperative approach to decision-making processes. This abstract explores the role of MAS in facilitating cooperative decision-making within the context of smart grids. Multi-agent systems consist of a collection of intelligent agents that interact with each other to achieve common goals, making them particularly suitable for complex and dynamic environments such as smart grids. The paper discusses the benefits of using MAS in smart grids, including improved energy efficiency, enhanced reliability, and the ability to handle uncertainties. Furthermore, it examines various MAS architectures and algorithms that have been implemented to support decision-making in smart grids. The challenges faced during the integration and deployment of MAS in smart grids are also highlighted, as well as potential solutions to address these issues. Finally, the abstract concludes by emphasizing the importance of MAS as a key technology for the future of smart grid development.
Anderson, S. Multi-Agent Systems for Cooperative Decision Making in Smart Grids. Information Sciences and Technological Innovations, 2022, 4, 35. https://doi.org/10.69610/j.isti.20221121
AMA Style
Anderson S. Multi-Agent Systems for Cooperative Decision Making in Smart Grids. Information Sciences and Technological Innovations; 2022, 4(2):35. https://doi.org/10.69610/j.isti.20221121
Chicago/Turabian Style
Anderson, Sarah 2022. "Multi-Agent Systems for Cooperative Decision Making in Smart Grids" Information Sciences and Technological Innovations 4, no.2:35. https://doi.org/10.69610/j.isti.20221121
APA style
Anderson, S. (2022). Multi-Agent Systems for Cooperative Decision Making in Smart Grids. Information Sciences and Technological Innovations, 4(2), 35. https://doi.org/10.69610/j.isti.20221121
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