Investigation of Fast, Secure and Reliable Network Restoration after Blackouts
Integrating distributed generation into power grids creates various technical challenges for network operation. Volatility of renewable energy resources may increase the probability of blackouts. In order to restore networks fast, securely and reliably after blackouts, within the research project Re...
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doaj-f1e547923c084e88a2c48bf8fda4af672020-11-25T03:09:59ZengMDPI AGEnergies1996-10732020-06-01133019301910.3390/en13113019Investigation of Fast, Secure and Reliable Network Restoration after BlackoutsElmira Torabi Makhsos0Yi Guo1Wolfgang Gawlik2Benjamin Cox3Philipp Hinkel4Marian Zugck5Wolfram Wellßow6Robert Schmaranz7Ewald Traxler8Leopold Fiedler9Institute of Energy Systems and Electrical Drives, Technische Universität Wien, 1040 Vienna, AustriaInstitute of Energy Systems and Electrical Drives, Technische Universität Wien, 1040 Vienna, AustriaInstitute of Energy Systems and Electrical Drives, Technische Universität Wien, 1040 Vienna, AustriaInstitute of Energy Systems and Electrical Drives, Technische Universität Wien, 1040 Vienna, AustriaDivision of Energy Systems and Energy Management, Technische Universität Kaiserslautern, 67663 Kaiserslautern, GermanyDivision of Energy Systems and Energy Management, Technische Universität Kaiserslautern, 67663 Kaiserslautern, GermanyDivision of Energy Systems and Energy Management, Technische Universität Kaiserslautern, 67663 Kaiserslautern, GermanyKNG-Kärnten Netz GmbH, 9020 Klagenfurt am Wörthersee, AustriaNetz Oberösterreich GmbH, 4030 Linz, AustriaNetz Oberösterreich GmbH, 4030 Linz, AustriaIntegrating distributed generation into power grids creates various technical challenges for network operation. Volatility of renewable energy resources may increase the probability of blackouts. In order to restore networks fast, securely and reliably after blackouts, within the research project RestoreGrid4RES’s network restoration strategies, the related issues caused by distributed generation are investigated and novel methods to face those challenges are developed. This paper focuses on (i) algorithms to identify possible restoration paths, (ii) key performance indicators for the assessment of grid restoration options and (iii) an evaluation of the results for network restoration strategies.https://www.mdpi.com/1996-1073/13/11/3019power system restorationdistributed generationoptimization algorithmkey performance indicator |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Elmira Torabi Makhsos Yi Guo Wolfgang Gawlik Benjamin Cox Philipp Hinkel Marian Zugck Wolfram Wellßow Robert Schmaranz Ewald Traxler Leopold Fiedler |
spellingShingle |
Elmira Torabi Makhsos Yi Guo Wolfgang Gawlik Benjamin Cox Philipp Hinkel Marian Zugck Wolfram Wellßow Robert Schmaranz Ewald Traxler Leopold Fiedler Investigation of Fast, Secure and Reliable Network Restoration after Blackouts Energies power system restoration distributed generation optimization algorithm key performance indicator |
author_facet |
Elmira Torabi Makhsos Yi Guo Wolfgang Gawlik Benjamin Cox Philipp Hinkel Marian Zugck Wolfram Wellßow Robert Schmaranz Ewald Traxler Leopold Fiedler |
author_sort |
Elmira Torabi Makhsos |
title |
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts |
title_short |
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts |
title_full |
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts |
title_fullStr |
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts |
title_full_unstemmed |
Investigation of Fast, Secure and Reliable Network Restoration after Blackouts |
title_sort |
investigation of fast, secure and reliable network restoration after blackouts |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2020-06-01 |
description |
Integrating distributed generation into power grids creates various technical challenges for network operation. Volatility of renewable energy resources may increase the probability of blackouts. In order to restore networks fast, securely and reliably after blackouts, within the research project RestoreGrid4RES’s network restoration strategies, the related issues caused by distributed generation are investigated and novel methods to face those challenges are developed. This paper focuses on (i) algorithms to identify possible restoration paths, (ii) key performance indicators for the assessment of grid restoration options and (iii) an evaluation of the results for network restoration strategies. |
topic |
power system restoration distributed generation optimization algorithm key performance indicator |
url |
https://www.mdpi.com/1996-1073/13/11/3019 |
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