AUTONOMOUS DISTRIBUTED SYSTEMS FOR SMART GRIDS: A CURRENT PERSPECTIVE

Authors

  • Javed AD
  • Amin SK
  • Anas IS

Keywords:

Smart Grids, Autonomous Systems, Distributed Computing, Machine Learning, Multi-Agent Systems, Blockchain

Abstract

The increasing complexity of power distribution networks, combined with the rise of renewable energy sources, has spurred the development of autonomous distributed systems for smart grids. These systems leverage advanced algorithms and distributed computing to optimize energy distribution, enhance grid stability, and reduce operational costs. This paper explores recent advancements in autonomous distributed systems for smart grids, focusing on the integration of machine learning, multi-agent systems, and blockchain technology. We evaluate the effectiveness of these technologies through simulations and discuss future directions for research in this domain.

References

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Ramachandran, R., Gajendran, S., & Kumar, P. M. (2021). Decentralized Energy Management for Smart Microgrids Using Blockchain Technology. IEEE Systems Journal, 15(2), 2212-2221.

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Published

2022-08-24

How to Cite

Javed A, D., Amin S, K., & Anas I, S. (2022). AUTONOMOUS DISTRIBUTED SYSTEMS FOR SMART GRIDS: A CURRENT PERSPECTIVE. COMPUSOFT: An International Journal of Advanced Computer Technology, 11, 3998–4000. Retrieved from https://ijact.in/index.php/j/article/view/626

Issue

Section

Review Article

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