Pre-Disaster Energy Storage Robust Operation Model for Intelligent Connected Transportation System Considering High-Entropy Energy Integration

With the deep integration of Intelligent Connected Transportation System(ICTS) and IoT technologies, extreme events such as natural disasters and malicious sabotage have increasingly posed significant challenges to power supply systems in intelligent connected transportation networks, which demand high power quality. In response, the widespread distribution of high-entropy energy sources across transportation system is wellsuited to the diverse energy needs of transportation network equipment in intelligent connected scenarios. This paper establishes a coupled model of piezoelectric high-entropy energy, quantifying its energy supply potential. Furthermore, considering the volatility of wind and solar power outputs in systems, a two-stage robust model for pre-disaster energy storage presetting in ICTS is proposed, aiming to enhance operational stability and economic efficiency under emergency conditions. Finally, a case study validates the effectiveness of the proposed model, and simulation results demonstrate the substantial power generation potential of high-entropy energy in the transportation sector. The two-stage robust model effectively enhances the robustness of ICTS during emergency scenarios.