Datum
2023-06-16Schlagwort
620 Ingenieurwissenschaften NetzregelungNetzbetriebVerteilungsnetzÜbertragungsnetzBlindleistungBetriebsgesellschaftMetadata
Zur Langanzeige
Aufsatz
New Distributed Optimization Method for TSO-DSO Coordinated Grid Operation Preserving Power System Operator Sovereignity
Zusammenfassung
Electrical power system operators (SOs) are free to realize grid operations according to their own strategies. However, because resulting power flows also depend on the actions of neighboring SOs, appropriate coordination is needed to improve the resulting system states from an overall perspective and from an individual SO perspective. In this paper, a new method is presented that preserves the data integrity of the SOs and their independent operation of their grids. This method is compared with a non-coordinated local control and another sequential method that has been identified as the most promising distributed optimization method in previous research. The time series simulations use transformer tap positioning as well as generation unit voltage setpoints and reactive power injections as flexibilities. The methods are tested on a multi-voltage, multi-SO, realistic benchmark grid with different objective combinations of the SOs. In conclusion, the results of the new method are much closer to the theoretical optimum represented by central optimization than those of the other two methods. Furthermore, the introduced method integrates a sophisticated procedure to provide fairness between SOs that is missing in other methods.
Zitierform
In: Energies Volume 16 / Issue 12 (2023-06-16) eissn:1996-1073Förderhinweis
Gefördert durch den Publikationsfonds der Universität KasselZitieren
@article{doi:10.17170/kobra-202307078346,
author={Meinecke, Steffen and Stock, David Sebastian and Braun, Martin},
title={New Distributed Optimization Method for TSO-DSO Coordinated Grid Operation Preserving Power System Operator Sovereignity},
journal={Energies},
year={2023}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2023$n2023 1500 1/eng 2050 ##0##http://hdl.handle.net/123456789/14889 3000 Meinecke, Steffen 3010 Stock, David Sebastian 3010 Braun, Martin 4000 New Distributed Optimization Method for TSO-DSO Coordinated Grid Operation Preserving Power System Operator Sovereignity / Meinecke, Steffen 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/14889=x R 4204 \$dAufsatz 4170 5550 {{Netzregelung}} 5550 {{Netzbetrieb}} 5550 {{Verteilungsnetz}} 5550 {{Übertragungsnetz}} 5550 {{Blindleistung}} 5550 {{Betriebsgesellschaft}} 7136 ##0##http://hdl.handle.net/123456789/14889
2023-07-14T10:14:46Z 2023-07-14T10:14:46Z 2023-06-16 doi:10.17170/kobra-202307078346 http://hdl.handle.net/123456789/14889 Gefördert durch den Publikationsfonds der Universität Kassel eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ optimal power flow voltage control reactive power dispatch transmission system operator distribution system operator multi-voltage level fairness 620 New Distributed Optimization Method for TSO-DSO Coordinated Grid Operation Preserving Power System Operator Sovereignity Aufsatz Electrical power system operators (SOs) are free to realize grid operations according to their own strategies. However, because resulting power flows also depend on the actions of neighboring SOs, appropriate coordination is needed to improve the resulting system states from an overall perspective and from an individual SO perspective. In this paper, a new method is presented that preserves the data integrity of the SOs and their independent operation of their grids. This method is compared with a non-coordinated local control and another sequential method that has been identified as the most promising distributed optimization method in previous research. The time series simulations use transformer tap positioning as well as generation unit voltage setpoints and reactive power injections as flexibilities. The methods are tested on a multi-voltage, multi-SO, realistic benchmark grid with different objective combinations of the SOs. In conclusion, the results of the new method are much closer to the theoretical optimum represented by central optimization than those of the other two methods. Furthermore, the introduced method integrates a sophisticated procedure to provide fairness between SOs that is missing in other methods. open access Meinecke, Steffen Stock, David Sebastian Braun, Martin doi:10.3390/en16124753 Netzregelung Netzbetrieb Verteilungsnetz Übertragungsnetz Blindleistung Betriebsgesellschaft publishedVersion eissn:1996-1073 Issue 12 Energies Volume 16 false 4753
Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden: