Profit Maximization for EVSEs-Based Renewable Energy Sources in Smart Cities With Different Arrival Rate Scenarios

Alghamdi, Turki G.; Said, Dhaou; Mouftah, Hussein T.

doi:10.1109/access.2021.3070485

Cited by 13 publications

(1 citation statement)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The study [29] takes the solar PV prediction and the likelihood of EV arrival to improve the operation of an off-grid, solar PV-based commercial CS with a battery energy storage system (BESS) to maximize profit. Work [30] provides a profit maximization model for a Decentralized Electric Vehicle Supply Equipment (D-EVSE) outfitted with a renewable energy system, such as a solar energy system. The authors have developed a Decentralized Profit Maximization Algorithm (DPMA) to assist D-EVSEs in profiting from variations in power prices during the day while selling or purchasing electricity to EVs or from the grid or EVs as discharging procedures.…”

Section: Of 24mentioning

confidence: 99%

Profit Extension of a Wind-Integrated Competitive Power System by Vehicle-to-Grid Integration and UPFC Placement

Dawn,

Rao,

Vital

et al. 2023

Energies

View full text Add to dashboard Cite

Profit maximization is critical in the control of power system networks for both power providers and users. Electrical energy is freely accessible in the electrical grid during off-peak hours, with storage units helping to store excess energy and assist the electrical grid during high-demand situations. Such techniques promote grid stability and ensure safe operation. Because renewable resources are intermittent, energy storage technologies are especially significant in renewable-associated power systems. Vehicle-to-grid (V2G) technology has recently acquired popularity in preserving power grid stability in the presence of renewable resources.V2G technology employs automobiles as mobile storage devices and focuses on the efficient utilization of extra power available during off-peak hours. The goal of this work is to improve the functioning of a V2G system in a power network to reduce energy production costs while increasing system profitability. This study for deregulated power environments also depicts the influence of V2G mixing on system voltage profile and locational marginal pricing (LMP), as well as the performance of the Unified Power Flow Controller (UPFC) on system economics. The MiPower simulation program is used in the study to find the best placement of the power storage unit for the modified IEEE 14-bus system.

show abstract

Section: Of 24mentioning

confidence: 99%