PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources
Version 1
: Received: 11 June 2024 / Approved: 11 June 2024 / Online: 12 June 2024 (02:46:11 CEST)
How to cite:
Sidor, K.; Miller, P.; Małkowski, R.; Izdebski, M. P. Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources. Preprints2024, 2024060720. https://doi.org/10.20944/preprints202406.0720.v1
Sidor, K.; Miller, P.; Małkowski, R.; Izdebski, M. P. Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources. Preprints 2024, 2024060720. https://doi.org/10.20944/preprints202406.0720.v1
Sidor, K.; Miller, P.; Małkowski, R.; Izdebski, M. P. Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources. Preprints2024, 2024060720. https://doi.org/10.20944/preprints202406.0720.v1
APA Style
Sidor, K., Miller, P., Małkowski, R., & Izdebski, M. P. (2024). Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources. Preprints. https://doi.org/10.20944/preprints202406.0720.v1
Chicago/Turabian Style
Sidor, K., Robert Małkowski and Michał Przemysław Izdebski. 2024 "Optimization of division and reconfiguration locations of the medium-voltage power grid based on forecasting the level of load and generation from renewable energy sources" Preprints. https://doi.org/10.20944/preprints202406.0720.v1
Abstract
The article discusses issues related to the optimization of the operation of medium voltage networks, focusing on the optimization of network division points and the selection of the optimal network configuration aimed at reducing power and energy losses. The article provides a critical review of selected scientific works from recent years on the issue of network configuration optimization. The developed solution uses non-deterministic network models and statistical and probabilistic approaches. Optimization studies were carried out using heuristic optimization methods and proprietary algorithms for forecasting the load and power generated from renewable energy sources. The solution proposed in the article has many application possibilities. It can be used to optimize the location of network division points (reducing economic costs related to the modernization of network infrastructure) as well as to optimize the reconfiguration process in order to reduce power losses while maintaining voltage criteria.
Keywords
optimization; MV network configuration; power losses; forecasting; renewable energy
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.