Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production
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...
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doaj-6b08f54865db41a6a2eda565781f80e82020-11-24T22:58:24ZengMDPI AGEnergies1996-10732018-11-011112331010.3390/en11123310en11123310Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy ProductionIgnacio Blanco0Daniela Guericke1Anders N. Andersen2Henrik Madsen3Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, DenmarkDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, DenmarkEMD International A/S, Niels Jernesvej 10, 9220 Aalborg Ø, DenmarkDepartment of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, 2800 Kgs. Lyngby, DenmarkIn 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.https://www.mdpi.com/1996-1073/11/12/3310district heatingbidding methodstochastic programmingoperational planningday-ahead electricity marketbalancing market |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ignacio Blanco Daniela Guericke Anders N. Andersen Henrik Madsen |
spellingShingle |
Ignacio Blanco Daniela Guericke Anders N. Andersen Henrik Madsen Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production Energies district heating bidding method stochastic programming operational planning day-ahead electricity market balancing market |
author_facet |
Ignacio Blanco Daniela Guericke Anders N. Andersen Henrik Madsen |
author_sort |
Ignacio Blanco |
title |
Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production |
title_short |
Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production |
title_full |
Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production |
title_fullStr |
Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production |
title_full_unstemmed |
Operational Planning and Bidding for District Heating Systems with Uncertain Renewable Energy Production |
title_sort |
operational planning and bidding for district heating systems with uncertain renewable energy production |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2018-11-01 |
description |
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. |
topic |
district heating bidding method stochastic programming operational planning day-ahead electricity market balancing market |
url |
https://www.mdpi.com/1996-1073/11/12/3310 |
work_keys_str_mv |
AT ignacioblanco operationalplanningandbiddingfordistrictheatingsystemswithuncertainrenewableenergyproduction AT danielaguericke operationalplanningandbiddingfordistrictheatingsystemswithuncertainrenewableenergyproduction AT andersnandersen operationalplanningandbiddingfordistrictheatingsystemswithuncertainrenewableenergyproduction AT henrikmadsen operationalplanningandbiddingfordistrictheatingsystemswithuncertainrenewableenergyproduction |
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