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Optimal stochastic operation of residential energy hubs based on plug-in hybrid electric vehicle uncertainties using two-point estimation method

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F21%3A43962169" target="_blank" >RIV/49777513:23220/21:43962169 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://www.sciencedirect.com/science/article/pii/S2210670721003437" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2210670721003437</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.scs.2021.103059" target="_blank" >10.1016/j.scs.2021.103059</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Optimal stochastic operation of residential energy hubs based on plug-in hybrid electric vehicle uncertainties using two-point estimation method

  • Popis výsledku v původním jazyce

    The energy hubs (EHs) have been developed as multi-carrier systems to enhance the energy efficiency, reliability, and economic profits. Also, the residential sector could be techno-economically optimized by applying the residential EH (REH) scheme. The system uncertainties are one of the most crucial problems that might adversely affect the EHs and REHs. The stochastic nature of renewable energy sources’ output power as supply-side’s uncertainties in REHs have received more attention than modelling and studies of demand-side ones, e.g., plug-in hybrid electric vehicle (PHEV) uncertainties. Although several types of research, particularly Monte Carlo simulation-based studies, have been reported for probabilistic optimal operation of REHs, there is a research gap about proposing a fast method considering both PHEVs and renewable energy source (RES) uncertainties simultaneously. This study aims to investigate the stochastic energy management of REHs, considering intermittencies in the PHEVs and the RESs using the two-point estimation method (2PEM). In this paper, the uncertainties in the PHEVs, i.e., arrival time, driving distance, and departure time, are concerned. The consideration of different charging modes of PHEVs, such as vehicle-to-grid and grid-to-vehicle modes, is another contribution of this article. The comparative results are verified with the current methods, and the proposed method’s efficiency is illustrated.

  • Název v anglickém jazyce

    Optimal stochastic operation of residential energy hubs based on plug-in hybrid electric vehicle uncertainties using two-point estimation method

  • Popis výsledku anglicky

    The energy hubs (EHs) have been developed as multi-carrier systems to enhance the energy efficiency, reliability, and economic profits. Also, the residential sector could be techno-economically optimized by applying the residential EH (REH) scheme. The system uncertainties are one of the most crucial problems that might adversely affect the EHs and REHs. The stochastic nature of renewable energy sources’ output power as supply-side’s uncertainties in REHs have received more attention than modelling and studies of demand-side ones, e.g., plug-in hybrid electric vehicle (PHEV) uncertainties. Although several types of research, particularly Monte Carlo simulation-based studies, have been reported for probabilistic optimal operation of REHs, there is a research gap about proposing a fast method considering both PHEVs and renewable energy source (RES) uncertainties simultaneously. This study aims to investigate the stochastic energy management of REHs, considering intermittencies in the PHEVs and the RESs using the two-point estimation method (2PEM). In this paper, the uncertainties in the PHEVs, i.e., arrival time, driving distance, and departure time, are concerned. The consideration of different charging modes of PHEVs, such as vehicle-to-grid and grid-to-vehicle modes, is another contribution of this article. The comparative results are verified with the current methods, and the proposed method’s efficiency is illustrated.

Klasifikace

  • Druh

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

  • CEP obor

  • OECD FORD obor

    20704 - Energy and fuels

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2021

  • Kód důvěrnosti údajů

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

Údaje specifické pro druh výsledku

  • Název periodika

    Sustainable Cities and Society

  • ISSN

    2210-6707

  • e-ISSN

  • Svazek periodika

    72

  • Číslo periodika v rámci svazku

    September 2021

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    19

  • Strana od-do

    1-19

  • Kód UT WoS článku

    000691549300007

  • EID výsledku v databázi Scopus

    2-s2.0-85108064694