Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 106685 |
| Fachzeitschrift | Electric power systems research |
| Jahrgang | 189 |
| Frühes Online-Datum | 15 Sept. 2020 |
| Publikationsstatus | Veröffentlicht - Dez. 2020 |
Abstract
Requirements on electrical energy transmission and the work of system operators are changing due to the shift from centralized towards decentralized generation. This leads to an increased need of transport capacities in grids. In this paper, a robust method is presented to solve the resulting transmission expansion planning (TEP) problem using a nonlinear mathematical optimization. In terms of TEP optimization successive measures are considered in the used mathematical formulation such as grid optimization, grid enhancement and grid extension. The mathematical optimization is based on a DC power flow formulation using unreduced grid models. The concept of the TEP model design and the implementation of different measures are given in detail in the paper. The applicability of the developed approach is shown by the application to a model of the German transmission grid based on a German electricity market simulation for a yearly simulation calculating an expansion demand of 3047 GWkm.
ASJC Scopus Sachgebiete
- Energie (insg.)
- Energieanlagenbau und Kraftwerkstechnik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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in: Electric power systems research, Jahrgang 189, 106685, 12.2020.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Robust nonlinear mathematical transmission expansion planning based on German electricity market simulation
AU - Stock, David Sebastian
AU - Harms, Yannic
AU - Mende, Denis
AU - Hofmann, Lutz
N1 - Funding Information: This research was supported by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety within the framework of the project “Dekarbonisierung Verkehr - Rückkopplung Energiesystem (DeV-KopSys)” ( FKZ: 16EM4005–1 ).
PY - 2020/12
Y1 - 2020/12
N2 - Requirements on electrical energy transmission and the work of system operators are changing due to the shift from centralized towards decentralized generation. This leads to an increased need of transport capacities in grids. In this paper, a robust method is presented to solve the resulting transmission expansion planning (TEP) problem using a nonlinear mathematical optimization. In terms of TEP optimization successive measures are considered in the used mathematical formulation such as grid optimization, grid enhancement and grid extension. The mathematical optimization is based on a DC power flow formulation using unreduced grid models. The concept of the TEP model design and the implementation of different measures are given in detail in the paper. The applicability of the developed approach is shown by the application to a model of the German transmission grid based on a German electricity market simulation for a yearly simulation calculating an expansion demand of 3047 GWkm.
AB - Requirements on electrical energy transmission and the work of system operators are changing due to the shift from centralized towards decentralized generation. This leads to an increased need of transport capacities in grids. In this paper, a robust method is presented to solve the resulting transmission expansion planning (TEP) problem using a nonlinear mathematical optimization. In terms of TEP optimization successive measures are considered in the used mathematical formulation such as grid optimization, grid enhancement and grid extension. The mathematical optimization is based on a DC power flow formulation using unreduced grid models. The concept of the TEP model design and the implementation of different measures are given in detail in the paper. The applicability of the developed approach is shown by the application to a model of the German transmission grid based on a German electricity market simulation for a yearly simulation calculating an expansion demand of 3047 GWkm.
KW - Grid planning
KW - Market modeling
KW - Mathematical optimization
KW - Planning tool
KW - Transmission expansion planning
UR - http://www.scopus.com/inward/record.url?scp=85090843046&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2020.106685
DO - 10.1016/j.epsr.2020.106685
M3 - Article
AN - SCOPUS:85090843046
VL - 189
JO - Electric power systems research
JF - Electric power systems research
SN - 0378-7796
M1 - 106685
ER -