To address the "peak upon peak" phenomenon caused by unorganized charging of electric vehicles on a large scale, this study divides the distribution network into microgrids for residential, office, and commercial areas based on the location of electric vehicle charging. A multi-objective electric vehicle charging mode is proposed, considering peak-to-valley difference, time-of-use electricity prices, and user satisfaction. A dual-profit multi-objective optimization scheduling model is established to minimize the peak-to-valley difference for microgrid operators while minimizing user charging costs and maximizing charging satisfaction. Real mixed residential, office, and commercial complexes in Shanghai are used as a case study, and the MATLAB/NSGA-Ⅱ algorithm is employed to solve the load shaping degree. The particle swarm optimization algorithm is used to solve the optimal charging satisfaction for electric vehicle owners, guiding the timing and power of electric vehicle charging. Simulation results of the actual case demonstrate that this method effectively reduces the peak-to-valley difference in the distribution network, improves the efficiency of electric vehicle charging, and meets user charging demands.