Connecting electric vehicle charging stations (EVCSs) to the distribution system can cause negative impacts on the system such as increasing voltage drop and power loss. This work presents a method to limit the impact of EVCSs on voltage deviation and power loss of the distribution system based on optimizing Soft Open Points (SOP) operation installed in the distribution system. The optimal operation power for SOP at each hour of the day is determined by the Archimedes Optimization Algorithm (AOA). The evaluation results of the proposed solution are performed on a 33-bus system integrating a Photovoltaic System (PVS) system and an EVCS for twenty-four hours. The results show that optimizing SOP operation can limit the impact of EVCSs on the distribution system by improving the voltage profile and reducing power loss of the system. The compared results of AOA and Particle Swarm Optimization (PSO) show that AOA reaches a better performance than PSO in finding the optimal power of SOP in each interval. In addition, the impact of uncertainty of industrial, residential, and commercial loads, EVCS, and PVS on SOP operation results is also evaluated based on the Monte Carlo simulation method. The results show that the SOP operation solution also limits the impact of uncertainty factors on voltage deviation and power loss indicators of the distribution system.