Journal of Computational Intelligence in Materials Science


A Survey on Multi Agent System and Its Applications in Power System Engineering



Journal of Computational Intelligence in Materials Science

Received On : 02 November 2022

Revised On : 18 December 2022

Accepted On : 22 December 2022

Published On : 05 January 2023

Volume 01, Issue 01

Pages : 001-011


Abstract


An Intelligent Agent (IA) is a type of autonomous entity in the field of Artificial Intelligence (AI) that gathers information about its surroundings using sensors, takes action in response to that information using actuators ("agent" part), and guides its behavior to achieve predetermined results (i.e. it is rational). Agents that are both intelligent and able to learn or utilize information to accomplish their tasks would be ideal. Similar to how economists study agents, cognitive scientists, ethicists, philosophers of practical reason and researchers in a wide range of other disciplines study variations of the IAmodel used in multidisciplinary socio-cognitive modelling and computer social simulation models. In this article, the term "Multi-Agent System" (MAS) has been used to refer to a system in which two or more autonomous entities communicate with one another. The key objective of this research is to provide a critical analysis of MAS and its applications in power systems. A case study to define the application of MAS in power system is also provided, using a critical implementation of fuzzy logic controllers.


Keywords


Multi-Agent System (MAS), Multi-Agents (MA), Intelligent Agent (IA), Artificial Intelligence (AI).


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Acknowledgements


The authors would like to thank to the reviewers for nice comments on the manuscript.


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Cite this article


Madeleine Wang Yue Dong, “A Survey on Multi Agent System and Its Applications in Power System Engineering”, Journal of Computational Intelligence in Materials Science, vol.1, no.1, pp. 001-011, January 2023.


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© 2023 Madeleine Wang Yue Dong. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.