| Issue |
ITM Web Conf.
Volume 76, 2025
Harnessing Innovation for Sustainability in Computing and Engineering Solutions (ICSICE-2025)
|
|
|---|---|---|
| Article Number | 03006 | |
| Number of page(s) | 8 | |
| Section | IoT & Edge Computing | |
| DOI | https://doi.org/10.1051/itmconf/20257603006 | |
| Published online | 25 March 2025 | |
Cyber-Physical Systems in Smart Grids Enhancing Energy Management and Distribution Efficiency
1 Professor, Department of Computer Science and Engineering, K.S.R. College of Engineering, Tiruchengode, Namakkal, Tamil Nadu, India
2 Assistant Professor, Department of EEE, GVP College of Engineering, Visakhapatnam, India
3 Associate Professor, Department of Mechanical Engineering, MLR Institute of Technology, Hyderabad, Telangana, India
4 Professor, Department of Computer Science and Engineering, St. Joseph's Institute of Technology, Chennai, Tamil Nadu, India
5 Assistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, A-4, Rohtak Road, Paschim Vihar, Delhi, India
6 Professor, Department of ECE, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India
drsivakumar.p@gmail.com
vanithag@gvpce.ac.in
Gvrambabu@mlrinstitutions.ac.in
adlinsheeba78@gmail.com
mohit.t.bvcoe@gmail.com
pci.saravanan@gmail.com
This paper aims to study the interaction and correlation of Cyber-Physical Systems (CPS) with emphasis on Smart Grids (SGs) to enhance and develop energy utilization and distribution systems. This study aligns with the design of adaptive, real-time operations that respond continuously and dynamically to energy demand fluctuations and can increase grid reliability and decrease operational costs through optimization. Novel solutions to some generic challenges of the grid, such as communication burdens and cyber-security threats are the application of new optimization algorithms, machine learning methods and scalable remediation measures. This work seeks to both investigate emerging technologies such as LoRa (Long Range, low power) and autonomous systems, and to lead in the development of intelligent, self-optimised smart grid infrastructures. Additionally, the dissertation addresses societal and regulatory challenges to decarbonization, guaranteeing that the solution is technically possible, as well as economically and politically possible. All of this effort will contribute to green, secure and renewable-integrated smart grids in the future.
Key words: A1: Cyber-Physical Systems for Smart Grids: Ensuring Demand and Supply Line Efficiency through Real-time Systems and Optimization Algorithms using Machine Learning to Achieve Scalable Remedial Actions / the LoRa technology empowers autonomous systems capable of balancing energy demand while achieving communication efficiency and enabling cybersecurity to maintain renewable energy decarbonizing infrastructure while it is studied in terms of socio-economic implications of smart grid sustainability alongside regulatory barriers to energy transition to optimize grid resilience
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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