Version 1
: Received: 17 February 2024 / Approved: 19 February 2024 / Online: 20 February 2024 (04:02:08 CET)
How to cite:
Mario, S.; Orfeas, Z.; Elias, C.; Gkonis, P. K.; Tsampasis, E. On the Interconnection of the Intelligent Electrical Grids and Load Forecasting Issues. Preprints2024, 2024021060. https://doi.org/10.20944/preprints202402.1060.v1
Mario, S.; Orfeas, Z.; Elias, C.; Gkonis, P. K.; Tsampasis, E. On the Interconnection of the Intelligent Electrical Grids and Load Forecasting Issues. Preprints 2024, 2024021060. https://doi.org/10.20944/preprints202402.1060.v1
Mario, S.; Orfeas, Z.; Elias, C.; Gkonis, P. K.; Tsampasis, E. On the Interconnection of the Intelligent Electrical Grids and Load Forecasting Issues. Preprints2024, 2024021060. https://doi.org/10.20944/preprints202402.1060.v1
APA Style
Mario, S., Orfeas, Z., Elias, C., Gkonis, P. K., & Tsampasis, E. (2024). On the Interconnection of the Intelligent Electrical Grids and Load Forecasting Issues. Preprints. https://doi.org/10.20944/preprints202402.1060.v1
Chicago/Turabian Style
Mario, S., Panagiotis K. Gkonis and Eleftherios Tsampasis. 2024 "On the Interconnection of the Intelligent Electrical Grids and Load Forecasting Issues" Preprints. https://doi.org/10.20944/preprints202402.1060.v1
Abstract
The goal of the study presented in this article is to investigate interconnection issues of the Intelligent Electrical Networks (IENs) with the existing ones, as well as the deployment of the appropriate load forecasting demand techniques. The concept of IENs has recently emerged as a potential solution to the global energy problem, due to the more flexible dispersed production units that are involved. In the same context, additional issues, such as the reduction of production-transfer-distribution costs as well as power losses are analyzed as well, via the penetration of Renewable Energy Sources (RESs). To this end, it is necessary to use appropriate advanced infrastructure, where in combination with modern telecommunication networks will make possible the full exploitation of IENs. Moreover, to make the electricity system more efficient, to avoid voltage and frequency imbalance issues and to implement optimal production and consumption planning, the Electric Load Forecast (ELF) is a vital process and plays a key role in the planning as well as in the management of electricity systems. Therefore, recent state of the art approaches in ELF methods are discussed as well.
Keywords
Smart Grid; Renewable Energy Sources; Electric Load Forecast; Intelligent Electric Networks.
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
