Utilization of Electrical Vehicle Power to Different Load

When the power is in control of its own fleet of vehicles, the power grid will experience an increase in the amount of fluctuating energy consumption depending on the nature of the load presentation. Depending on the drawing density, electric batteries can be integrated to create a new volume of the overall load profile can increase the voltage of the tips. Fees and charges the pattern is not random, as they can affect the driver's travel habits and charging capabilities, which means that ANY integration as well as a significant impact will have cargo. An increasing number of loads and peaks in load may lead to the need to upgrade the network infrastructure in order to reduce the risk of loss, abandoned services and or damage to any components. But with well-designed incentives for users, the HOME variable that is in the electric vehicle charging (EVC) - based power consumption can be flexible load, which can help in the energy system load and reduce charging at the tips.

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Smart electric vehicle charging strategies for sectoral coupling in a city energy system

Applied Energy ◽

10.1016/j.apenergy.2021.116640 ◽

2021 ◽

Vol 288 ◽

pp. 116640

Author(s):

Verena Heinisch ◽

Lisa Göransson ◽

Rasmus Erlandsson ◽

Henrik Hodel ◽

Filip Johnsson ◽

...

Keyword(s):

Electric Vehicle ◽

Energy System ◽

Electric Vehicle Charging ◽

Vehicle Charging

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Coordination of Multiple Electric Vehicle Aggregators for Peak Shaving and Valley Filling in Distribution Feeders

Energies ◽

10.3390/en14020352 ◽

2021 ◽

Vol 14 (2) ◽

pp. 352

Author(s):

Saad Ullah Khan ◽

Khawaja Khalid Mehmood ◽

Zunaib Maqsood Haider ◽

Muhammad Kashif Rafique ◽

Muhammad Omer Khan ◽

...

Keyword(s):

Electric Vehicle ◽

Power Distribution ◽

Distribution System ◽

Energy Demand ◽

Minimum Energy ◽

Peak Shaving ◽

Peak Period ◽

Actual Distribution ◽

Load Profile ◽

System Load

In this paper, a coordination method of multiple electric vehicle (EV) aggregators has been devised to flatten the system load profile. The proposed scheme tends to reduce the peak demand by discharging EVs and fills the valley gap through EV charging in the off-peak period. Upper level fair proportional power distribution to the EV aggregators is exercised by the system operator which provides coordination among the aggregators based on their aggregated energy demand or capacity. The lower level min max objective function is implemented at each aggregator to distribute power to the EVs. Each aggregator ensures that the EV customers’ driving requirements are not relinquished in spite of their employment to support the grid. The scheme has been tested on IEEE 13-node distribution system and an actual distribution system situated in Seoul, Republic of Korea whilst utilizing actual EV mobility data. The results show that the system load profile is smoothed by the coordination of aggregators under peak shaving and valley filling goals. Also, the EVs are fully charged before departure while maintaining a minimum energy for emergency travel.

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Design and Feasibility Analysis of Hybrid Energy-Based Electric Vehicle Charging Station

Distributed Generation & Alternative Energy Journal ◽

10.13052/dgaej2156-3306.3713 ◽

2021 ◽

Author(s):

Venkatesh Boddapati ◽

S Arul Daniel

Keyword(s):

Electric Vehicle ◽

Autonomous Vehicles ◽

Operating Cost ◽

Energy System ◽

Solar Pv ◽

Diesel Generator ◽

Hybrid Energy ◽

Charging Station ◽

Electric Vehicle Charging ◽

Vehicle Charging

Mobility has been changing precipitously in recent years. With the increasing number of electric vehicles (EV), travel-sharing continues to grow, and ultimately, autonomous vehicles (AV) move into municipal fleets. These changes require a new, distributed, digitalised energy system, maintenance, and growing electrification in transportation. This paper proposes the designing of an Electric Vehicle Charging Station (EVCS) by using hybrid energy sources such as solar PV, wind, and diesel generator. The proposed system is mathematically modelled and designed using the Hybrid Optimization Model for Multiple Energy Resources (HOMER). The system is analysed and assessed in both autonomous mode and grid-connected mode of operation. The optimum sizing, energy yields of the system in each case is elaborated, and the best configuration is found for design. The variations in Levelized Cost Of the Energy (LCOE), Net Present Cost (NPC), initial cost, and operating cost of the various configuration are presented. From the results, it is observed that the grid-connected EVCS is more economical than the autonomous EVCS. Further, a sensitivity analysis of the EVCS is also performed.

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