基于韧性移动储能资源的微电网构建方法——考虑电-交-信网络互依性

Abstract The advancement of smart city technologies has deepened the interactions among power, transportation, and information networks (PTINs). Current mobile energy storage resource (MESR) based power distribution network (PDN) restoration schemes often overlook the interdependencies among PTINs, thus hindering efficient load restoration. This paper outlines the key interacting factors within PTINs, including power supply demand, traffic efficiency, communication coverage, electric vehicle (EV) deployment capability, and PDN controllability. We further develop a PTIN-interacting model to demonstrate the ‘chained recovery effect’ in MESR-based restoration. Building on this, we propose a rolling optimization load restoration scheme utilizing EVs, mobile energy storage systems (MESSs), and unmanned aerial vehicles (UAVs), to restore the power supply to loads. The algorithm optimizes the load restoration schemes by evaluating the criticality of power loads, transportation, and communication nodes and their interdependencies. It further dynamically recalculates subsequent restoration schemes based on the varying states of PTINs during extreme events and the recovery impacts of prior operations on the PTINs, using a rolling horizon. This approach adapts to changing conditions, improving load restoration, enhancing the solution’s adaptability to uncertainties during the restoration process, and increasing its practicality. Additionally, a PTIN-integrated co-simulation platform is developed to verify the effectiveness of the restoration methods. Case studies conducted on the platform show significant improvements in both the restored load capacity and restoration speed of the proposed scheme.