Optimal trading of a hybrid electric, hydrogen and gas fueling station in day-ahead and intra-day markets: Modeling aspect
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00378486" target="_blank" >RIV/68407700:21230/22:00378486 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/68407700:21730/22:00378486
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-24907-5_35" target="_blank" >https://doi.org/10.1007/978-3-031-24907-5_35</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-24907-5_35" target="_blank" >10.1007/978-3-031-24907-5_35</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimal trading of a hybrid electric, hydrogen and gas fueling station in day-ahead and intra-day markets: Modeling aspect
Popis výsledku v původním jazyce
Energy crisis and environmental concerns encourage the adoptions of substitute transportation options instead of the conventional internal combustion engine vehicles. The electric, hydrogen and natural gas vehicles are promising alternatives, so more attention should be paid to the economic and operational features of their charging stations. This paper proposes a multifunction charging station to refill electric, hydrogen and natural gas vehicles which takes part in the day-ahead and intra-day markets. The objective of this station is to maximize its profit by attaining the optimal operation of the devices and bidding curves. Coordinated bidding is considered since this charging station participates in the sequential markets with different price scenarios. The clearing prices and dispatched amounts in both markets are unknown at the time of bidding. This problem is formulated as a two-stage stochastic program since the markets are cleared sequentially and the prices are revealed gradually. Finally, the economic effectiveness of the proposed multifunction charging station is analyzed in different scenarios.
Název v anglickém jazyce
Optimal trading of a hybrid electric, hydrogen and gas fueling station in day-ahead and intra-day markets: Modeling aspect
Popis výsledku anglicky
Energy crisis and environmental concerns encourage the adoptions of substitute transportation options instead of the conventional internal combustion engine vehicles. The electric, hydrogen and natural gas vehicles are promising alternatives, so more attention should be paid to the economic and operational features of their charging stations. This paper proposes a multifunction charging station to refill electric, hydrogen and natural gas vehicles which takes part in the day-ahead and intra-day markets. The objective of this station is to maximize its profit by attaining the optimal operation of the devices and bidding curves. Coordinated bidding is considered since this charging station participates in the sequential markets with different price scenarios. The clearing prices and dispatched amounts in both markets are unknown at the time of bidding. This problem is formulated as a two-stage stochastic program since the markets are cleared sequentially and the prices are revealed gradually. Finally, the economic effectiveness of the proposed multifunction charging station is analyzed in different scenarios.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
<a href="/cs/project/LL1902" target="_blank" >LL1902: Obohacování SMT řešičů pomocí strojového učení</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Operations Research Proceedings 2022
ISBN
978-3-031-24907-5
ISSN
2731-0418
e-ISSN
2731-0418
Počet stran výsledku
7
Strana od-do
289-295
Název nakladatele
Springer International Publishing AG
Místo vydání
Cham
Místo konání akce
Karlsruhe
Datum konání akce
6. 9. 2022
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—