Optimal control strategy of vehicle-to-grid for modifying the load curve based on discrete particle swarm algorithm
The electric vehicle can curb the emission. Foremost, the batteries on electric vehicle not only can take energy from the grid, but also can provide energy back to the grid if necessary, which known as vehicle to grid (V2G) conception. Therefore, as energy storage unit, the vehicle has the potential ability to improve the efficiency and increase the reliability of the power grid. V2G will be the important role in the future's smart grid for the advantages above. However, it is in urgent need of a control strategy to figure out an appropriate charge and discharge times for fleets of vehicles. In the view of this, this paper presents an optimal control strategy based on discrete particle swarm algorithm, constraints in which are decided by the battery' own characteristic and set by the owner. In final, an example was displayed to support the feasibility of the algorithm.