A Novel Optimization Approach for Smart Grid Systems with Nano-sized Objects
| Authors | M.Chiranjivi1, D. Obulesu2, Ganesh Babu Loganathan3, S. Kayalvili4, PrajaktaNaregalkar5, Ch.Venkata Krishna Reddy6, P. William7 |
| Affiliations |
1Department of EEE, Hyderabad Institute of Technology and Management, Telangana -501401India 2Department of Electrical & Electronic Engineering, CVR College of Engineering, Hyderabad, Telangana, India 3Department of Mechatronics, Faculty of Engineering, Tishk International University-Erbil, Kurdistan Region, Iraq 4Department of Computer Science and Engineering, Vellalar College of Engineering and Technology, Erode, Tamil Nādu, India 5Bharati Vidyapeeth (Deemed to be University) College of Engineering, Pune, India 6Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India 7Department of Information Technology, Sanjivani College of Engineering, SPPU, Pune, India |
| Е-mail | william160891@gmail.com |
| Issue | Volume 15, Year 2023, Number 4 |
| Dates | Received 12 June 2023; revised manuscript received 22 August 2023; published online 30 August 2023 |
| Citation | M.Chiranjivi, D. Obulesu, Ganesh Babu Loganathan, et al., J. Nano- Electron. Phys. 15 No 4, 04020 (2023) |
| DOI | https://doi.org/10.21272/jnep.15(4).04023 |
| PACS Number(s) | 07.05.Mh |
| Keywords | Smart Grid system, Nano sized objects, Smart home, Enhanced Greedy Particle Swarm Optimization (EGPSO). |
| Annotation |
Rapid technological advancement has led to breakthroughs in several fields, including the smart grid and the nano sized objects. The usage of nano objects has grown dramatically during the recent years on a global scale. Integration of different supporting protocols and technologies addressing storage, sensing, processing power, connectivity, and other areas is a barrier to effective nano-based deployment. Future power grid generations are anticipated to rely heavily on sensors, actuators, and transducers to deliver real-time energy monitoring services. While this may appeal to consumers because it offers them the ability to manage and monitor their energy consumption in real-time, the smart grid may be the most efficient option from an energy conservation approach. This study presents an Enhanced Greedy Particle Swarm Optimization (EGPSO) for optimizing energy usage in nano objects based smart grid systems that will enable smart homes. Evaluating the architecture of the proposed protocols that are going to be used, the workings of the system, and the challenges in the design of the system are all necessary steps before the suggested design can be used to EGPSO of the Smart grid system itself. The study’s findings reveal that the evaluations of the suggested method performs better than existing methods in terms of accuracy, energy consumption, computing time and cost efficiency. Several technological difficulties may be resolved in future research ideas to utilize nano-based objects in smart grid and high-level knowledge. |
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List of References |
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