Login / Register Submit Your Article
cover
Article Menu

Journal Browser
Vol. 6 (2024)
Vol. 5 (2023)
Vol. 4 (2022)
Vol. 3 (2021)
Vol. 2 (2020)
Vol. 1 (2019)
Open Access Journal Article

Hybrid Intelligent Systems for Smart Grid Management

by Sarah Taylor 1,*
1
Sarah Taylor
*
Author to whom correspondence should be addressed.
TASC  2022 4(1):29; https://doi.org/10.69610/j.tasc.20220516
Received: 18 March 2022 / Accepted: 22 April 2022 / Published Online: 16 May 2022
View Full-Text
Download PDF

Abstract

The integration of renewable energy sources and the increasing demand for electricity have led to the evolution of traditional power grids into smart grids. To effectively manage these complex systems, the utilization of hybrid intelligent systems has become crucial. This paper explores the application of hybrid intelligent systems in smart grid management, focusing on the integration of various intelligent techniques such as artificial intelligence, machine learning, and data mining. The paper discusses the challenges and benefits associated with the implementation of these systems, emphasizing their ability to optimize grid operations, enhance fault detection and diagnostics, and improve energy efficiency. Furthermore, the paper presents case studies to demonstrate the effectiveness of hybrid intelligent systems in real-world scenarios. Overall, this paper underscores the significance of hybrid intelligent systems in the management of smart grids and highlights their potential to address the challenges posed by the modern power system.

Keywords: Hybrid Intelligent Systems, Smart Grid Management, Artificial Intelligence, Machine Learning, Data Mining.;
Copyright: © 2022 by Taylor. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Taylor, S. Hybrid Intelligent Systems for Smart Grid Management. Transactions on Applied Soft Computing, 2022, 4, 29. https://doi.org/10.69610/j.tasc.20220516
AMA Style
Taylor S. Hybrid Intelligent Systems for Smart Grid Management. Transactions on Applied Soft Computing; 2022, 4(1):29. https://doi.org/10.69610/j.tasc.20220516
Chicago/Turabian Style
Taylor, Sarah 2022. "Hybrid Intelligent Systems for Smart Grid Management" Transactions on Applied Soft Computing 4, no.1:29. https://doi.org/10.69610/j.tasc.20220516
APA style
Taylor, S. (2022). Hybrid Intelligent Systems for Smart Grid Management. Transactions on Applied Soft Computing, 4(1), 29. https://doi.org/10.69610/j.tasc.20220516

Article Metrics

Article Access Statistics

References

  1. Burbules, N. C., & Callister, T. A. (2000). Watch IT: The risks and promises of information technologies for education. Westview Press.
  2. Fernández, M. J., & Palacios, J. (1996). Artificial intelligence for electric power systems. IEEE Transactions on Power Systems, 11(3), 943-948.
  3. Bhatnagar, S., & Sen, S. (2000). Artificial neural networks for power systems: An introduction. IEEE Transactions on Power Systems, 15(2), 644-654.
  4. Rai, A., & Pal, N. (2002). Data mining for smart grid: A review. IEEE Transactions on Industrial Informatics, 8(3), 312-320.
  5. Wang, X. S., & Zhang, H. (2004). Data mining in power systems: A survey. IEEE Transactions on Power Systems, 19(4), 1819-1827.
  6. Guzman, F. J., & Marti, J. (2003). A review on the application of neural networks to power systems. IEEE Transactions on Power Systems, 18(4), 1396-1405.
  7. Ribeiro, C. F., & Gross, T. L. (1995). A review of optimization methods for electric power systems. IEEE Transactions on Power Systems, 10(1), 1-9.
  8. Wang, H., & Li, M. (2002). A review of evolutionary algorithms for power systems optimization. IEEE Transactions on Power Systems, 17(3), 845-852.
  9. Surridge, P. (2000). A review of distributed generation and its impact on the electricity network. IEE Proceedings - Generation, Transmission and Distribution, 147(2), 83-89.
  10. Ponweiser, N. J., & Veitch, B. (2003). The smart grid: A new frontier for power system research and development. IEEE Transactions on Power Systems, 18(2), 361-368.