A distributionally robust resilience enhancement model for transmission and distribution coordinated system using mobile energy storage and unmanned aerial vehicle

Abstract

Extreme natural disasters can seriously disrupt power systems. The increased damage intensity of natural disasters also leads to synchronous failures in communication systems. Mobile energy storage and unmanned aerial vehicles have high economy and flexibility, so they can provide various services including power support and temporary information transmission when disasters occur and disable the whole system. To address the unavailability of the communication system and improve the collaborative restoration of transmission and distribution systems, this paper proposes a multi-period distributionally robust resilience enhancement model (MPDRRM) for the transmission and distribution coordinated system, and a large quantity of mobile energy storage and unmanned aerial vehicles are rented before natural disasters and dispatched to support critical loads and maintain power balance during restoration. The MPDRRM is divided into three kinds of sub-problems: i) a communication system sub-problem, ii) a transmission system sub-problem, iii) several distribution system sub-problems, and solved by a modified three-level analytical target cascading algorithm. Case studies demonstrate the benefits of mobile energy storage and unmanned aerial vehicles in improving load restoration and increasing the resilience of a TDCS against natural disasters.