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Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production

1
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, Denmark
2
EMD International A/S, Niels Jernesvej 10, 9220 Aalborg Ø, Denmark
*
Author to whom correspondence should be addressed.
Energies 2018, 11(12), 3310; https://doi.org/10.3390/en11123310
Received: 24 October 2018 / Revised: 15 November 2018 / Accepted: 21 November 2018 / Published: 27 November 2018
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Abstract

In countries with an extended use of district heating (DH), the integrated operation of DH and power systems can increase the flexibility of the power system, achieving a higher integration of renewable energy sources (RES). DH operators can not only provide flexibility to the power system by acting on the electricity market, but also profit from the situation to lower the overall system cost. However, the operational planning and bidding includes several uncertain components at the time of planning: electricity prices as well as heat and power production from RES. In this publication, we propose a planning method based on stochastic programming that supports DH operators by scheduling the production and creating bids for the day-ahead and balancing electricity markets. We apply our solution approach to a real case study in Denmark and perform an extensive analysis of the production and trading behavior of the DH system. The analysis provides insights on system costs, how DH system can provide regulating power, and the impact of RES on the planning. View Full-Text
Keywords: district heating; bidding method; stochastic programming; operational planning; day-ahead electricity market; balancing market district heating; bidding method; stochastic programming; operational planning; day-ahead electricity market; balancing market
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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MDPI and ACS Style

Blanco, I.; Guericke, D.; Andersen, A.N.; Madsen, H. Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production. Energies 2018, 11, 3310.

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