Abstract: To mitigate the impact of high-penetration photovoltaic (PV) integration on power quality and enhance the reliability of power supply under extreme disasters, mobile energy storage (MES) with its greater flexibility and cost-effectiveness has been identified as one of the effective measures to improve the disaster resistance of distribution networks. This paper proposes a multi-objective optimization model for determining the configuration of MES under high-penetration PV integration scenarios, considering three key aspects including economic efficiency, vulnerability and MES capacity. Additionally, a two-stage resilience-enhancing optimization and scheduling model is developed for extreme disaster scenarios, which incorporates the initial deployment of separable MES and their emergency response dispatch. By dynamically scheduling the access locations and charge-discharge power of the separable MES, the proposed method ensures emergency power restoration under extreme disasters while maximizing the reuse value of MES during both normal and disaster conditions. Finally, case studies validate the effectiveness of the proposed method.