Distribution network reconfiguration incorporating thermostatic loads after multiple line contingency

Traditional fault recovery of distributed energy resources (DERs) exhibits inefficiencies and overlooks the impact of environmental factors, demanding innovative solutions for network reconfiguration. This paper develops an advanced fault recovery solution for accelerating fault recovery in active distribution networks, incorporating precise load classification and recovery options. The core innovation of this work lies in the development of a linearized temperature-voltage-sensitive load model, which balances computational efficiency with model accuracy, enabling real-time applications in fault recovery scenarios. First, we classify loads based on their different properties and design a prioritized recovery sequence. We then develop a fault recovery model aimed at minimizing load loss and reducing the number of twist switches, explicitly underscoring temperature- and voltage-sensitive loads alongside traditional metrics. Simulations on the IEEE 33-bus test system reveal significant improvements in restoration efficiency, reduced system losses, and enhanced network stability. These findings not only demonstrate the model’s potential to enhance power system resilience under dynamic operational conditions but also underscore its effectiveness in improving distribution system management and significantly boosting power supply reliability.