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