Abstract
The power system and the natural gas network are becoming increasingly interconnected due to the rising number of gas-fired power plants and the emergence of power-to-gas technology. The coordinated operation of power and gas systems is a promising solution to add flexibility to future energy systems, facilitating renewable integration. The optimal operation of the power system is commonly modeled as a mixed-integer linear problem (MILP). Conversely, the natural gas network optimization is a mixed-integer nonlinear problem (MINLP), due to the highly nonlinear and nonconvex Weymouth equation modeling the gas flow in pipelines. Different linearization and convexification approaches have been investigated in the literature for the gas optimization problem, but few authors have verified the quality of the solution. In this paper, a MILP model for the gas problem is developed using an outer approximation technique, and the feasibility of the solution is assessed. A sensitivity analysis on the number of linearization breakpoints is conducted to show the impact on the solution quality and computational time.
Original language | English |
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Title of host publication | Proceedings of 2021 IEEE Madrid PowerTech |
Publisher | IEEE |
Publication date | 2021 |
Article number | 9494996 |
ISBN (Print) | 978-1-6654-1173-8 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 IEEE Madrid PowerTech - Virtual Event - from the Alberto Aguilera Campus of Comillas University, Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021 Conference number: 14 https://www.powertech2021.com/ |
Conference
Conference | 2021 IEEE Madrid PowerTech |
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Number | 14 |
Location | Virtual Event - from the Alberto Aguilera Campus of Comillas University |
Country/Territory | Spain |
City | Madrid |
Period | 28/06/2021 → 02/07/2021 |
Internet address |
Keywords
- Gas flow linearization
- Integrated electricity gas system ,
- Outer approximation
- Taylor expansion