Aiming at the problem of disorderly charging and discharging of cell access charging piles to increase the load peak-to-valley difference rate and user cost, an energy storage charging pile orderly charging and discharging optimization operation strategy was proposed. Under the premise of reducing the peak-to-valley difference rate, the optimization strategy aims to optimize the lowest charging cost and the highest profit of charging pile. A typical day is selected to establish the optimal charge and discharge scheduling model of the charging pile, which is solved by improving the multi-objective particle swarm optimization algorithm, and the charge and discharge power of the energy storage charging pile is adjusted in combination with the time-of-use electricity price. Experimental data show that the improved method can effectively improve the convergence speed of the algorithm and better deal with multi-objective problems, the dispatching method can effectively reduce the peak-to-valley difference rate of typical load by 55%, 36% better than the original algorithm, reasonably allocate charging piles to store power resources during valley hours, effectively reduce user charging costs by 20%-30%, and improve charging pile profits, so as to achieve the win-win goal of power grid, user and charging pile.