Torsten Sowa
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Torsten Sowa has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
Armin Schnettler
Institute for High Voltage Technology, RWTH Aachen University, Aachen, Germany
2 shared publicationsAlexander Hammer
Siemens AG, Energy Management,Munich,Germany
1 shared publicationAlexander Stroband
Institute for High Voltage Technology, RWTH Aachen University, Aachen, Germany
1 shared publicationMaria Vasconcelos
Institute for High Voltage Technology,RWTH Aachen University,Aachen,Germany
1 shared publicationMarkus Reischboek
Siemens AG, Energy Management,Munich,Germany
1 shared publicationMichael Metzger
Siemens AG, Corporate Technology,Munich,Germany
1 shared publication
Latest Publications
- 1 October 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
An AC power flow linearization for power system optimization using linear programming
This paper presents a method for the linearization of the non-linear power flow equations, which can be used in mixed integer linear optimizations. The power flow equations are linearized around an operating point using the Taylor approximation. The linearization implies an approximation error, which can be reduced iteratively by modifying the operating point. In addition to existing approaches, controllable assets like voltage regulated transformers or phase shifters are integrated into the linearized grid constraints. The model is exemplarily applied to an operation planning model of distributed energy resources considering grid restrictions. The results show that this approach reduces the approximation error significantly and that it is robust for different real distribution grids as well as for different generation and load scenarios.
- 1 October 2016
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-5
An AC power flow linearization for power system optimization using linear programming
This paper presents a method for the linearization of the non-linear power flow equations, which can be used in mixed integer linear optimizations. The power flow equations are linearized around an operating point using the Taylor approximation. The linearization implies an approximation error, which can be reduced iteratively by modifying the operating point. In addition to existing approaches, controllable assets like voltage regulated transformers or phase shifters are integrated into the linearized grid constraints. The model is exemplarily applied to an operation planning model of distributed energy resources considering grid restrictions. The results show that this approach reduces the approximation error significantly and that it is robust for different real distribution grids as well as for different generation and load scenarios.
- 24 September 2016
- Published by Springer Nature in Electrical Engineering
- Vol. 98 (4) , 347-354
Method for the operation planning of virtual power plants considering forecasting errors of distributed energy resources
- 24 September 2016
- Published by Springer Nature in Electrical Engineering
- Vol. 98 (4) , 347-354
Method for the operation planning of virtual power plants considering forecasting errors of distributed energy resources