Contact : 9561854529 Email : submitpaper@ijaea.com editorinchief.ijaea@gmail.com Working Hours: 9am to 9PM

International Journal of Advanced Engineering Application

ISSN: 3048-6807

Submit Paper Apply for Reviewer

Advancements in Smart Grid Technology: Enhancing Energy Efficiency and Reliability

Author(s):Y.D. Krishnan�, G. Veera Mani�

Affiliation: 1,2 Easwari Engineering College,Chennai, India

Page No: 6-9

Volume issue & Publishing Year: Volume 1 Issues 4,Aug-2024

Journal: International Journal of Advanced Engineering Application (IJAEA)

ISSN NO: 3048-6807

DOI:

Download PDF

Abstract:
The transition to smart grid technology represents a significant advancement in the management and distribution of electrical energy. This paper reviews recent innovations in smart grid systems that enhance both energy efficiency and reliability. Key components such as advanced metering infrastructure (AMI), demand response (DR) programs, and the integration of renewable energy sources (RES) are critically examined. AMI facilitates real-time data collection, enabling consumers to monitor and adjust their usage more effectively. Demand response programs encourage users to reduce or shift their energy consumption during peak periods, helping to stabilize the grid. Furthermore, the integration of RES plays a crucial role in reducing reliance on fossil fuels and lowering carbon emissions. Case studies from various regions illustrate the positive impacts of these technologies on energy consumption patterns and grid stability. For example, areas implementing smart grids have reported enhanced grid performance and customer satisfaction. The findings suggest that, despite existing challenges such as cybersecurity threats and infrastructure costs, the benefits of smart grids in promoting sustainable energy use and enhancing grid resilience are substantial. As the world continues to transition toward cleaner energy sources, smart grids will be vital in achieving these goals. Ultimately, this technology holds promise for a more efficient and environmentally friendly energy future.

Keywords: Smart Grid, Energy Efficiency, Reliability, Advanced Metering Infrastructure, Demand Response, Renewable Energy Integration.

Reference:

  • 1. Smith, J., et al. (2021). "Impact of Smart Metering on Residential Energy Consumption." Energy Efficiency Journal, 14(2), 345-360.
  • 2. Johnson, L., & Lee, T. (2020). "Demand Response Programs: A Case Study in New York." Journal of Sustainable Energy, 22(1), 67-
  • 80.
  • 3. M�ller, K., & Schmidt, R. (2019). "The Role of Smart Grids in the Energy Transition: Evidence from Germany." Renewable Energy
  • Reviews, 32(4), 555-570.
  • 4. Ogata, K. (2010). Modern Control Engineering. Prentice Hall.
  • 5. Nise, N. S. (2015). Control Systems Engineering. Wiley.
  • 6. Ziegler, J. G., & Nichols, N. B. (1942). "Optimum Settings for Automatic Controllers." Journal of Dynamic Systems, Measurement,
  • and Control, 115(3), 220-222.
  • 7. Cohen, G., & Coon, G. A. (1953). "Theoretical Considerations of Retarded Control." Transactions of the ASME, 75, 827-834.
  • 8. Das, S. (2011). "Optimization of PID Controller Parameters using Genetic Algorithm." International Journal of Computer Applications,
  • 30(3), 6-10.
  • 9. Poli, R., Kennedy, J., & Blackwell, T. (2007). "Particle Swarm Optimization." Swarm Intelligence, 1(1), 33-57.
  • 10. Astrom, K. J., & Wittenmark, B. (2013). Adaptive Control. Dover Publications.
  • 11. Bequette, B. W. (2010). Process Control: Modeling, Design, and Simulation. Prentice Hall.
  • 12. Chen, C. L., & Huang, C. H. (2014). "Robust PID Control of a DC Motor." IEEE Transactions on Industrial Electronics, 61(2), 579-
  • 588.
  • 13. Khalil, H. K. (2015). Nonlinear Control. Prentice Hall.
  • 14. Dorf, R. C., & Bishop, R. H. (2011). Modern Control Systems. Prentice Hall.
  • 15. Driankov, D., Hellendoorn, H., & Reinfrank, M. (1993). An Introduction to Fuzzy Control. Springer.
  • 16. Hang, C. C., Gao, H., & Liu, Z. (1994). "Tuning of PID Controllers Based on Gain and Phase Margins." Control Engineering Practice,
  • 2(2), 184-193.
  • 17. Sontag, E. D. (1998). "Mathematical Control Theory: Deterministic Finite Dimensional Systems." Control Systems and Control Theory,
  • 6, 1-26.
  • 18. Liu, J., & Wang, Q. (2012). "Optimization of PID Controller Based on PSO Algorithm." Journal of Control Theory and Applications,
  • 10(3), 345-353.
  • 19. O'Dwyer, A. (2006). Handbook of PI and PID Controller Tuning Rules. The Control Handbook
  • 20. Lee, J. H., & Park, S. H. (2010). "Advanced PID Control Algorithm for Motion Control." Journal of Mechanical Science and
  • Technology, 24(9), 1867-1874.