Coordinated charging by large-scale application of electric vehicles will bring benefits such as facilitating centralized management

inhibiting load fluctuation and reducing the charging cost. Despite the positive effects

it will bring about disadvantages of battery redundancy to swapping station. For the sake of concentrating on battery redundancy under coordinated charging

a load fluctuation optimization model is developed in battery swapping modes using the adaptive genetic algorithm

with the power demand of electric vehicles analyzed through Monte Carlo method. Calculation results show that compared to the uncoordinated charging scenario

the coordinated charging model can not only restrain load fluctuation and peak-valley

but

as a result

increase battery redundancy. This work is supported by National Natural Science Foundation of China (No. 51207088) and Shanghai Key Supported Research Program (No. 13160500800).