A Cognizant Approach to Microgrid Load Management via Multi-Agent

  • Unique Paper ID: 162081
  • Volume: 2
  • Issue: 7
  • PageNo: 250-254
  • Abstract:
  • The microgrid systems that are capable of integrating generation, load, and storage assets into an autonomous power system will be a characteristic of the power systems of the future. The purpose of this study is to present the design and development of a multiagent system for the control of a microgrid. Afterwards, a strategy that is based on fuzzy logic is given in order to accomplish priority-based load management of a microgrid infrastructure.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{162081,
        author = {Smitha V. Sajjan and Komala M H},
        title = {A Cognizant Approach to Microgrid Load Management via Multi-Agent },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {7},
        pages = {250-254},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162081},
        abstract = {The microgrid systems that are capable of integrating generation, load, and storage assets into an autonomous power system will be a characteristic of the power systems of the future. The purpose of this study is to present the design and development of a multiagent system for the control of a microgrid. Afterwards, a strategy that is based on fuzzy logic is given in order to accomplish priority-based load management of a microgrid infrastructure.  },
        keywords = {Artificial intelligence, micro grid, multi agent system, smart grid  },
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 2
  • Issue: 7
  • PageNo: 250-254

A Cognizant Approach to Microgrid Load Management via Multi-Agent

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