4th International Workshop on Open Source Modelling and Simulation of Energy Systems, OSMSES 2026, Karlsruhe, Almanya, 23 - 25 Mart 2026, (Tam Metin Bildiri)
The rising incidence of natural disasters poses a major risk to the resilience of residential distribution networks, frequently leading to extended power outages. In order to address this challenge, this paper presents an open-source analysis framework for battery-supported islanded operation. The approach couples OpenDSS with a Python-based control interface to model residential feeders derived from the IEEE 13-bus test system, including photovoltaic (PV) generation and mobile battery energy storage systems (MBESS). The methodology prioritizes utilization of open-source tools to relieve from licensed software constraints and create a flexible environment for simulating locational outages, switching actions, and recovery scenarios.Single-line outages are represented via event-triggered switching operations to examine islanded operation enabled by mobile batteries. System behavior is assessed using bus voltage profiles, power flow redistribution, and the time evolution of battery State of Charge (SoC). The simulations show that coordinated control of MBESS and PV systems substantially prolongs the islanded operating duration, stabilizes SoC, and maintains supply to critical loads. With PV generation, battery discharge is slowed, extending support during outages. Nonetheless, voltage decline as the battery nears its reserve threshold underlines the need for proper battery sizing and reserve management.By solely using open-source software, the proposed framework delivers a scalable, low-cost, and reproducible platform for resilience-focused distribution system studies and enables proactive disaster recovery planning through configurable scenarios and control strategies.