Open Access
Issue |
E3S Web of Conf.
Volume 540, 2024
1st International Conference on Power and Energy Systems (ICPES 2023)
|
|
---|---|---|
Article Number | 10021 | |
Number of page(s) | 9 | |
Section | Grid Connected Systems | |
DOI | https://doi.org/10.1051/e3sconf/202454010021 | |
Published online | 21 June 2024 |
- Das, L., Munikoti, S., Natarajan, B., & Srinivasan, B. (2020). Measuring smart grid resilience: Methods, challenges and opportunities. Renewable and Sustainable Energy Reviews, 130, 109918 [CrossRef] [Google Scholar]
- Farzin, H., Fotuhi-Firuzabad, M., & Moeini-Aghtaie, M. (2016). Enhancing power system resilience through hierarchical outage management in multi-microgrids. IEEE Transactions on Smart Grid, 7(6), 2869–2879. [CrossRef] [Google Scholar]
- El Mrabet, Z., Kaabouch, N., El Ghazi, H., & El Ghazi, H. (2018). Cyber-security in smart grid: Survey and challenges. Computers & Electrical Engineering, 67, 469–482. [CrossRef] [Google Scholar]
- Watson, J. P., Guttromson, R., Silva-Monroy, C., Jeffers, R., Jones, K., Ellison, J.,... & Walker, L. T. (2014). Conceptual framework for developing resilience metrics for the electricity oil and gas sectors in the United States. Sandia national laboratories, albuquerque, nm (united states), tech. rep. [Google Scholar]
- Willis, H. H., & Loa, K. (2015). Measuring the resilience of energy distribution systems. RAND Corporation: Santa Monica, CA, USA, 38. [Google Scholar]
- Brown, R. E., Gupta, S., Christie, R. D., Venkata, S. S., & Fletcher, R. (1997). Distribution system reliability assessment: momentary interruptions and storms. IEEE Transactions on power Delivery, 12(4), 1569–1575. [CrossRef] [Google Scholar]
- Ouyang, M., Dueñas-Osorio, L., & Min, X. (2012). A three-stage resilience analysis framework for urban infrastructure systems. Structural safety, 36, 23–31. [CrossRef] [Google Scholar]
- Ashok V., Geetha N.B., Rajkumar S., Pauline T., “Experimental Investigations for Thermal Energy Management by Encapsulation of Nano -Enhanced Bio Phase Change Material in buildings”, Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 44(2),2022 [Google Scholar]
- Dhaya R., Ujwal U.J., Sharma T., Singh P., Kanthavel R., Selvan S., Krah D., “Energy-Efficient Resource Allocation and Migration in Private Cloud Data Centre”, Wireless Communications and Mobile Computing, 2022( ), 2022 [Google Scholar]
- Arghandeh, R., Von Meier, A., Mehrmanesh, L., & Mili, L. (2016). On the definition of cyber-physical resilience in power systems. Renewable and Sustainable Energy Reviews, 58, 1060–1069. [CrossRef] [Google Scholar]
- Mylrea, M., & Gourisetti, S. N. G. (2017, September). Blockchain for smart grid resilience: Exchanging distributed energy at speed, scale and security. In 2017 Resilience Week (RWS) (pp. 18–23). IEEE. [CrossRef] [Google Scholar]
- Panteli, M., & Mancarella, P. (2015). The grid: Stronger, bigger, smarter?: Presenting a conceptual framework of power system resilience. IEEE Power and Energy Magazine, 13(3), 58–66. [CrossRef] [Google Scholar]
- Li, G., Zhang, P., Luh, P. B., Li, W., Bie, Z., Serna, C., & Zhao, Z. (2013). Risk analysis for distribution systems in the northeast US under wind storms. IEEE Transactions on Power Systems, 29(2), 889–898. [Google Scholar]
- Xu, Y., & Singh, C. (2013). Power system reliability impact of energy storage integration with intelligent operation strategy. IEEE Transactions on smart grid, 5(2), 1129–1137. [Google Scholar]
- Wang, Y., Chen, C., Wang, J., & Baldick, R. (2015). Research on resilience of power systems under natural disasters—A review. IEEE Transactions on power systems, 31(2), 1604–1613. [Google Scholar]
- Framework, N. I. S. T. (2010). Roadmap for smart grid interoperability standards. National Institute of Standards and Technology, 26. [Google Scholar]
- Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2012). A survey on smart grid potential applications and communication requirements. IEEE Transactions on industrial informatics, 9(1), 28–42. [Google Scholar]
- Sandeep Kumar Reddy, Saravanan T., N.T. Velusudha & T. Sunder Selwyn, (2023) “Smart Grid Management System Based on Machine Learning Algorithms for Efficient Energy Distribution”,E3S Web Conf. 387 02005 (2023) [Google Scholar]
- Faisal, M. A., Aung, Z., Williams, J. R., & Sanchez, A. (2014). Data-stream-based intrusion detection system for advanced metering infrastructure in smart grid: A feasibility study. IEEE Systems journal, 9(1), 31–44. [Google Scholar]
- Knapp, E. D., & Samani, R. (2013). Applied cyber security and the smart grid: implementing security controls into the modern power infrastructure. Newnes. [Google Scholar]
- Brearley B.J., Bose K.R., Senthil K., Ayyappan G., “KNN approaches by using ball tree searching algorithm with minkowski distance function on smart grid data”, Indian Journal of Computer Science and Engineering, 13(4), 2022 [Google Scholar]
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