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◆ Engineering Reports2025-12-01· Renewable energy

Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking <scp>IOT</scp>

Mousumi Basu, Chitralekha Jena, Mahmoud M. Hussein, I. M. Elzein, Ali M. El‐Rifaie, Daniel Eutyche Mbadjoun Wapet, Ezzeddine Touti, Mohamed Metwally Mahmoud

原始摘要(英文原文)· Original abstract
ABSTRACT 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.
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Flexible Dynamic Optimal Power Flow Integrating Renewable Energy Sources and Electric Vehicle Parking <scp>IOT</scp> — 科研速览 Science Skim