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Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model

Identifikátory výsledku

  • Kód výsledku v 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>

  • Výsledek na webu

    <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>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model

  • Popis výsledku v původním jazyce

    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.

  • Název v anglickém jazyce

    Participation of hydrogen-rich energy hubs in day-ahead and regulation markets: A hybrid stochastic-robust model

  • Popis výsledku anglicky

    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.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    20200 - Electrical engineering, Electronic engineering, Information engineering

Návaznosti výsledku

  • Projekt

  • Návaznosti

    S - Specificky vyzkum na vysokych skolach

Ostatní

  • Rok uplatnění

    2023

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Applied Energy

  • ISSN

    0306-2619

  • e-ISSN

    1872-9118

  • Svazek periodika

    339

  • Číslo periodika v rámci svazku

    March 2023

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    15

  • Strana od-do

    15

  • Kód UT WoS článku

    000953215200001

  • EID výsledku v databázi Scopus

    2-s2.0-85150452024