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Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking IOT

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking IOT

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    O - Projekt operacniho programu

Others

  • Publication year

    2025

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Engineering Reports

  • ISSN

    2577-8196

  • e-ISSN

    2577-8196

  • Volume of the periodical

    7

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    1-19

  • UT code for WoS article

    001645534400001

  • EID of the result in the Scopus database