Power rerouting is proposed as an option to reduce the power congestion in the grid system. Multiple mitosis genetic algorithm (MMGA) has been used as the optimization technique to find the best line to receive the excess power from the congested power line. 3. Objectives of the study
The goal of this paper is to devise an algorithm for real-time routing of electric vehicles with swappable batteries that balances the desire for drivers to have quick trips with the need for the operating company to control the battery swap loads across stations.
Recent works have highlighted the growth of battery energy storage system (BESS) in the electrical system. In the scenario of high penetration level of renewable energy in the distributed generation, BESS plays a key role in the effort to combine a sustainable power supply with a reliable dispatched load.
In this scenario, the power reserve is used to increase the torque and recover the nominal rotation of traditional synchronous generators. Studies indicate that BESS can be used to supply this additional power and support the grid during an overload [5, 67].
As a conventional method to restore power to critical customers in the case of distribution grid failures, these generators are typically configured to start automatically when a loss of power is sensed on the automatic switch.
This research provides a novel framework for routing many electric vehicles through a network with battery-exchange technologyallowing for battery reservations.