Hierarchical structure design and primary energy dispatching strategy of net energy router

Chen, Meifu; Xia, Mingchao; Chen, Qifang

doi:10.1016/j.epsr.2021.107539

Cited by 4 publications

(1 citation statement)

References 36 publications

(57 reference statements)

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“…However, this method needed more charging and discharging process. Chen, M.F., et al 19 developed a bi‐level primary energy dispatching strategy for energy transportation to fully use the energy buffers of several grid energy routers. However, the power flow issue was a major problem.…”

Section: Motivationsmentioning

confidence: 99%

Multi‐objective optimization for optimal energy transporting path and energy distribution in electric vehicles energy internet

Ramasamy,

Vedi,

Madasamy

2024

Int J Communication

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SummaryEnergy internet permits the power to stream lithely for broadcast and it aids in transporting energy to each user using electric vehicles (EVs). The energy that EVs utilize is generated using certain sources. Still, considering poor weather, the power station averts the production of energy and needs to acquire power transmitted to another location. One resolution is to set stations that aid to save surfeit energies and minimize energy loss during transportation. This paper devises a new model for choosing charging stations to charge EVs. Energy is transferred from the energy source to the charge station via bus station through optimal path using Battle Royale Jaya Optimization (BRJO) routing with fitness attributes like distance to select the shortest path and energy. The prediction of energy is done with a deep recurrent neural network (DRNN) and the charge is distributed optimally to EVs by employing a proposed Competitive Swarm‐Battle Royale Jaya Optimization (CSBRJO) by utilizing multi‐parameters, like priority, distance, predicted energy, waiting time, and EV count needed for charging. The CSBRJO outperformed with the smallest distance of 6.935 km, energy consumption of 1.676 J, path length of 5.05 m, and waiting time of 4.645 sec.

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Section: Motivationsmentioning

confidence: 99%