Conference paper
Distributionally Robust Co-Optimization of Energy and Reserve Dispatch of Integrated Electricity and Heat System
The combined operation of integrated energy systems is increasingly becoming a crucial topic for renewable energy dominated power systems operation. Flexibility from the district heating system could be used to deal with the uncertainty of renewable energy sources. We formulate a distributionally robust optimization problem for co-optimizing energy and reserve dispatch of the integrated electricity and heating system with a moment-based ambiguity set.
The reserve allocation has been modeled through the participation vectors of the controllable generation units. The total reserve capacity has been defined implicitly and is a function of the uncertainty. The proposed model has been transformed into a second-order cone programming (SOCP) optimization problem by applying convex relaxation and linearization of the district heating network equations.
Case studies on the integrated six-bus and seven-node system to demonstrate the efficacy of the proposed model.
Language: | English |
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Publisher: | IEEE |
Year: | 2020 |
Pages: | 1-6 |
Proceedings: | 2020 International Conference on Probabilistic Methods Applied to Power Systems |
ISBN: | 1728128226 , 1728128234 , 9781728128221 and 9781728128238 |
ISSN: | 26426757 |
Types: | Conference paper |
DOI: | 10.1109/PMAPS47429.2020.9183678 |
ORCIDs: | Skalyga, Mikhail and Wu, Quiwei |