Abstract
To optimize the market participation of CHP units in district heating systems is important in today’s energy markets, especially with falling prices due to renewable energy sources. The already installed CHP units are getting less competitive in terms of cost, because they are more expensive than heat‐only units, which are
taking advantage of the low electricity prices (e.g. boilers and heat pumps). Therefore, district heating providers should optimize their offers to the electricity market in order to lower their production costs while providing flexibility to the transmission system operator. We propose a novel bidding method for the participation of combined heat and power (CHP) units in the day‐ahead electricity market. More specifically, we consider a district heating system where CHP units or
other heat‐only units, e.g., gas or wood chip boilers, can produce heat. Furthermore, the system contains thermal storages to introduce flexibility to the system. We use a mixed‐integer linear program to determine the optimal operation of the portfolio of production units and storages connected to the district heating
system on a daily basis. Based on the optimal production of subsets of the units, we can derive the bidding prices and amounts of electricity offered by the CHP units for the day‐ahead market. The novelty about our approach is that the prices are derived by iteratively replacing the production of heat‐only units through CHP
production. Due to the limited capacity of the system, the offered production by CHP units is replacing heat production in hours with the highest electricity price forecast in the planning horizon. This results in an algorithm with a robust bidding strategy that does not increase the system costs even if the bids are not won. We analyze our method on a realistic test case to illustrate our method and compare it with other bidding strategies from literature, which consider CHP units individually. The analysis shows that considering a portfolio of units in a district heating system and determining bids based on replacement of heat production of other units leads to better results. This work is funded by Innovation Fund Denmark (no. 1035‐00027B) through the Centre for IT–Intelligent
Energy Systems in cities (CITIES).
taking advantage of the low electricity prices (e.g. boilers and heat pumps). Therefore, district heating providers should optimize their offers to the electricity market in order to lower their production costs while providing flexibility to the transmission system operator. We propose a novel bidding method for the participation of combined heat and power (CHP) units in the day‐ahead electricity market. More specifically, we consider a district heating system where CHP units or
other heat‐only units, e.g., gas or wood chip boilers, can produce heat. Furthermore, the system contains thermal storages to introduce flexibility to the system. We use a mixed‐integer linear program to determine the optimal operation of the portfolio of production units and storages connected to the district heating
system on a daily basis. Based on the optimal production of subsets of the units, we can derive the bidding prices and amounts of electricity offered by the CHP units for the day‐ahead market. The novelty about our approach is that the prices are derived by iteratively replacing the production of heat‐only units through CHP
production. Due to the limited capacity of the system, the offered production by CHP units is replacing heat production in hours with the highest electricity price forecast in the planning horizon. This results in an algorithm with a robust bidding strategy that does not increase the system costs even if the bids are not won. We analyze our method on a realistic test case to illustrate our method and compare it with other bidding strategies from literature, which consider CHP units individually. The analysis shows that considering a portfolio of units in a district heating system and determining bids based on replacement of heat production of other units leads to better results. This work is funded by Innovation Fund Denmark (no. 1035‐00027B) through the Centre for IT–Intelligent
Energy Systems in cities (CITIES).
| Original language | English |
|---|---|
| Publication date | 2018 |
| Publication status | Published - 2018 |
| Event | 4th International Conference on Smart Energy Systems and 4th Generation District Heating - Aalborg, Denmark Duration: 13 Nov 2018 → 14 Nov 2018 |
Conference
| Conference | 4th International Conference on Smart Energy Systems and 4th Generation District Heating |
|---|---|
| Country/Territory | Denmark |
| City | Aalborg |
| Period | 13/11/2018 → 14/11/2018 |
Keywords
- Day‐ahead electricity market
- Combined Heat and Power
- District heating
- Bidding method operational planning
