Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking IOT
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F25%3A10259283" target="_blank" >RIV/61989100:27730/25:10259283 - isvavai.cz</a>
Výsledek na webu
<a href="https://onlinelibrary.wiley.com/doi/10.1002/eng2.70568" target="_blank" >https://onlinelibrary.wiley.com/doi/10.1002/eng2.70568</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/eng2.70568" target="_blank" >10.1002/eng2.70568</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking IOT
Popis výsledku v původním jazyce
Demand-side management in conjunction with plug-in electric vehicles, along with renewable energy sources, has been explored in relation to dynamic optimal power flow (DOPF). The renewable energy sources considered here are solar PV plants (SPVPs) along with hydropower plants (HPPs). All of the bottlenose dolphin optimizer (BDO), gray wolf optimization (GWO), and the self-organizing Hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) are the techniques utilized to solve DOPF. 57-bus, 118-bus, as well as IEEE 30-bus systems are employed for authentication. The cost acquired with DSM is about 4.35%, 12.98%, and 5.25% less than the cost obtained without DSM in the case of the IEEE 30-bus, 57-bus, and 118-bus systems, respectively. The cost derived by BDO is less than that of the other two methods.
Název v anglickém jazyce
Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking IOT
Popis výsledku anglicky
Demand-side management in conjunction with plug-in electric vehicles, along with renewable energy sources, has been explored in relation to dynamic optimal power flow (DOPF). The renewable energy sources considered here are solar PV plants (SPVPs) along with hydropower plants (HPPs). All of the bottlenose dolphin optimizer (BDO), gray wolf optimization (GWO), and the self-organizing Hierarchical particle swarm optimizer with time-varying acceleration coefficients (HPSO-TVAC) are the techniques utilized to solve DOPF. 57-bus, 118-bus, as well as IEEE 30-bus systems are employed for authentication. The cost acquired with DSM is about 4.35%, 12.98%, and 5.25% less than the cost obtained without DSM in the case of the IEEE 30-bus, 57-bus, and 118-bus systems, respectively. The cost derived by BDO is less than that of the other two methods.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
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OECD FORD obor
10200 - Computer and information sciences
Návaznosti výsledku
Projekt
—
Návaznosti
O - Projekt operacniho programu
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Engineering Reports
ISSN
2577-8196
e-ISSN
2577-8196
Svazek periodika
7
Číslo periodika v rámci svazku
12
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
19
Strana od-do
1-19
Kód UT WoS článku
001645534400001
EID výsledku v databázi Scopus
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