At present, various loads have exacerbated the complexity of the operation of active distribution networks, 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 was used to simulate the initial charging time and range, and the charging load curve was calculated, divide the curve to obtain the basic power of the charging load, 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. Solve the multi-objective optimization algorithm through genetic algorithm to obtain the final multi-objective dynamic reconstruction scheme. The test data shows that the maximum voltage difference has been reduced from 0.068pu to 0.013pu, the daily balance has been increased from 0.31 to 0.67, and the network loss has been reduced from 7692kW to 5468kW. This can effectively improve the load balance and network loss issues, with significant feasibility.