Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F23%3A10254569" target="_blank" >RIV/61989100:27240/23:10254569 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S0306261923003409" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0306261923003409</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.apenergy.2023.120976" target="_blank" >10.1016/j.apenergy.2023.120976</a>
Alternative languages
Result language
angličtina
Original language name
Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model
Original language description
Hydrogen-based technologies are one of the pathways toward a carbon-neutral world. This paper proposes a hybrid stochastic-robust framework for the optimal operation of hydrogen-based energy hubs (EHs) for a short-term horizon. The EH operator, as a large consumer, should make decisions to procure the required energy to meet the demands dealing with uncertainties in real-time. To manage the EH efficiently, the EH operator participates in the regulation market (RM) deploying regulation up (RU) and regulation down (RD) actions to compensate for the errors stem from the forecasting procedure in intra-hours. In addition, the EH should support the required hydrogen for hydrogen vehicles (HVs) on a hydrogen refueling station. Power-to-gas unit alongside a gas storage system links the electricity and natural gas network, and it facilitates the heat demand errors in intra-hours using gas-fed boilers. The uncertainty of the demands and the initial state of charge of the HVs are addressed by stochastic programming, while the uncertainty of the RM prices is considered by robust optimization to reach the worst-case realization of the RM prices. The simulation results demonstrate the effectiveness of the proposed framework in managing the hydrogen-rich EH and energy storage systems with the day-ahead and real-time horizons. The amount of 14% error in electricity demands in the intra hours is resulted in 10% increases in purchasing from the RM at the same time.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Energy
ISSN
0306-2619
e-ISSN
1872-9118
Volume of the periodical
339
Issue of the periodical within the volume
March 2023
Country of publishing house
GB - UNITED KINGDOM
Number of pages
15
Pages from-to
15
UT code for WoS article
000953215200001
EID of the result in the Scopus database
2-s2.0-85150452024