Solving District Heating Optimization Problems in the Market Conditions

2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016): Proceedings 2016
Igors Moškins, Antans Sauļus Sauhats

The paper focuses on the possibility of optimizing the district heating supply in the market conditions with constantly changing parameters and stochastic behavior of the electricity market prices, fuel prices and weather conditions. The possibilities of independent work of companies and cooperation for more benefits are also reviewed. As possibility of distributing the additional profit in the case of coalition, the methods of the cooperative game theory are used. In this paper the authors examine and compare the options of the formation of coalitions, compare the selected alternatives and analyze the possible profits of the market participants in the case of different models of behaviour. The proposed options of solving district heating optimization problems and calculation examples are based on the current situation of the real European city.

Atslēgas vārdi
heat supply, optimization, market, coalition, game theory, heat accumulation, Shapley value
DOI
10.1109/RTUCON.2016.7763145
Hipersaite
http://ieeexplore.ieee.org/document/7763145/

Moškins, I., Sauhats, A. Solving District Heating Optimization Problems in the Market Conditions. No: 2016 57th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2016): Proceedings, Latvija, Riga, 13.-14. oktobris, 2016. Piscataway: IEEE, 2016, 351.-356.lpp. ISBN 978-1-5090-3732-2. e-ISBN 978-1-5090-3731-5. Pieejams: doi:10.1109/RTUCON.2016.7763145

Publikācijas valoda
English (en)