SHORT-TERM LOAD FORECAST IN ACTIVE DISTRIBUTION NETWORKS
DOI:
https://doi.org/10.24867/20BE28TurudicKeywords:
Electricity consumption forecast, machine learning, optimization, active distribution networkAbstract
In addition to consumers, the distribution system is experiencing the biggest changes brought by the modernization of the electric power system. For electrical distribution network to function properly, it is necessary to predict the electricity consumption as precisely as possible. Short-term predictions in energy flow can greatly reduce the number of overloads, increase delivery scalability and reduce grid outages.
References
[1] M. I. Henderson, D. Novosel and M. Crow, “Electric Power Grid Modernization Trends, Challenges, and Opportunities”, IEEE Power & Energy Society, November 2017
[2] H. Zareipour, K .Bhattacharya and C. A. Canizares, "Distributed Generation: Current Status and Challenges" IEEE Proceeding of NAPS 2004, February 2004.
[3] Q. Yang, J. A. Barria and T. C. Green, "Communication Infrastructures for Distributed Control of Power Distribution Networks," in IEEE Transactions on Industrial Informatics, vol. 7, no. 2, pp. 316-327, May 2011.
[4] W.-S. Tan, M. Y. Hassan, M. S. Majid, H. A. Rahman: “Optimal distributed renewable generation planning: A review of different approaches”, February 2013.
[5] National Grid ESO: “Future Energy Scenarios”, 2020
[6] K. Clement-Nyns, E. Haesen and J. Driesen, "The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid," in IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 371-380, February 2010.
[2] H. Zareipour, K .Bhattacharya and C. A. Canizares, "Distributed Generation: Current Status and Challenges" IEEE Proceeding of NAPS 2004, February 2004.
[3] Q. Yang, J. A. Barria and T. C. Green, "Communication Infrastructures for Distributed Control of Power Distribution Networks," in IEEE Transactions on Industrial Informatics, vol. 7, no. 2, pp. 316-327, May 2011.
[4] W.-S. Tan, M. Y. Hassan, M. S. Majid, H. A. Rahman: “Optimal distributed renewable generation planning: A review of different approaches”, February 2013.
[5] National Grid ESO: “Future Energy Scenarios”, 2020
[6] K. Clement-Nyns, E. Haesen and J. Driesen, "The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid," in IEEE Transactions on Power Systems, vol. 25, no. 1, pp. 371-380, February 2010.
Downloads
Published
2022-11-06
Issue
Section
Electrotechnical and Computer Engineering
