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956. Modelling balancing service provision in 5th gen district heating systems
Invited abstract in session MB-19: OR in Electricity Markets, stream OR in Energy.
Monday, 10:30-12:00Room: 44 (building: 116)
Authors (first author is the speaker)
1. | Erik Fröhlich
|
2. | Kerem Öncel
|
Fraunhofer ISE | |
3. | Annette Steingrube
|
Fraunhofer ISE |
Abstract
5th gen district heating systems are bi-directional low temperature district heating and cooling networks with decentral generation units. They are well suited for providing flexibility to the power grid. A case study has been performed to model the flexibility such a system can offer. The energy system is represented as a linear optimization problem, that has been extended to model bi-directional flows within the district heating network in the form of energy balances. For the purpose of modeling flexibility provision in the form of balancing services, a two-stage stochastic optimization approach has been developed. The first stage represents planned operation without offering flexibilities, in the second participation on the control reserve market is modeled. Call probabilities for energy bids are implemented as randomized binary series. This concept is aiming at ensuring that the optimization model cannot apply perfect foresight of called balancing services, but a better representation of actual operation is achieved. Due to uncertainties of price development in balancing markets a sensitivity analysis w.r.t balancing service remuneration is conducted, yielding crucial tipping points at which capacity planning and operation in the considered energy system is altered to reduce system costs through providing flexibilities. Challenges resulting from the simplified representation in a linear optimization model are analyzed and suggestions for solution approaches formulated.
Keywords
- Electricity Markets
- Stochastic Models
- Programming, Linear
Status: accepted
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