Issue |
E3S Web Conf.
Volume 209, 2020
ENERGY-21 – Sustainable Development & Smart Management
|
|
---|---|---|
Article Number | 01001 | |
Number of page(s) | 5 | |
Section | Plenary Session | |
DOI | https://doi.org/10.1051/e3sconf/202020901001 | |
Published online | 23 November 2020 |
Definition of Key Indicators to Identify Optimal Distribution Grid Restoration Strategies
TU Dortmund, Institute for Energy Systems, Energy Efficiency and Energy Economics, 44227 Dortmund, Germany
Due to significant changes in the power energy system and extreme weather conditions as a result of the increasing impact of climate change, large scale blackouts become more likely. With the rising penetration of renewable energy sources in distribution grids and the shutdown of large conventional power plants, the system inertia and therefore the resilience is decreasing. This will have a significant influence on the provision of ancillary services in the future. Especially for grid restoration processes, new concepts are necessary to assure an optimal integration of the distributed energy resources to resupply a grid after a blackout. However, to identify and assess the capability of distribution grids to restore the grid operation to resupply their grid independently of the transmission system key indicators are necessary for an analysis. Hence, this paper introduces a key indicator system, which has the goal to address several challenges of a distribution grid restoration.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.