At present, various loads have exacerbated the complexity of the operation of active distribution network, leading to significant losses in the distribution network. In order to promote the efficient, reliable, and sustainable utilization of energy, and ensure the safe and stable operation of the distribution network, an active multi-objective dynamic reconfiguration method for the distribution network is proposed based on the random characteristics of charging loads. The Monte Carlo method is used to simulate the initial charging time and range, and the charging load curve is calculated. The basic power of the charging load is obtained by dividing the curves, combined with load fluctuation component, the normal distribution fluctuation model is used to describe the random characteristics of the charging load. Minimizing network losses and voltage deviations, minimizing switching times, and maximizing load balance are used as objective functions to construct a multi-objective dynamic reconfiguration model with designed constraints. The multi-objective optimization algorithm is solved through genetic algorithm to obtain the final multi-objective dynamic reconfiguration scheme. The test data shows that the maximum voltage difference has been reduced from 0.068 p.u. to 0.013 p.u., the daily balance has been increased from 0.31 to 0.67, and the network loss has been reduced from 7 692 kW to 5 468 kW, which can effectively improve the load balance and network loss issues, with significant feasibility.