Dispatching strategy optimization for orderly charging and discharging of electric vehicle battery charging and swapping station

As the application of electric vehicles expands, their charging power demand will influence the operation of the power grid. This paper firstly considers the relevant factors which influence the charging power demand; by using the Monte Carlo method to calculate the large-scale electric vehicle charging power demand. Based on the problem that the large-scale electric vehicle´s disordered charging may affect the stability of the power grid, this paper considers the characteristic of the electric vehicle battery charging and swapping station, which can easily realize charging and discharging dispatching, taking charging and discharging power in different periods as controlled object, taking the inhibition of load fluctuation and load peak and off-peak difference as objective function, we can build a mathematical model of dispatching strategy and use the multi-swarm cooperative particle swarm optimization to achieve the daily dispatching strategy optimization. Based on the daily load curve of a certain region, the simulation´s result verifies the effectiveness of the algorithm. This algorithm can overcome the shortcoming of the particle swarm optimization which limited to the local optimum, and realize the orderly charging and discharging of battery charging and swapping station, it can finally conduct the function of peak load shifting of grid load.