基于移动热源支撑的电-热综合系统两阶段恢复供电方法

Abstract Mobile heat sources (MHSs), including truck-mounted mobile electric boilers (MEBs) and mobile thermal energy storages (MTESs), are critical flexibility resources. However, these MHSs are currently under-utilized for multi-energy service restoration (SR) against natural disasters. To improve the flexibility and efficiency of service restoration (SR) strategies, this paper proposes an MHS-assisted SR method for distribution-level integrated electric and heating system (IEHS). The constraints for MHSs scheduling, involving energy conversion and spatial-temporal energy transfer, are modelled based on the interactive behavior between MHSs and IEHS. Considering the slow response speed of MHSs, a two-stage model is formulated, consisting of pre-SR and real-time SR stages. In the pre-SR stage, the locations of MHSs and absorbing/releasing behaviors of MTES are determined. In the real-time SR stage, multi-energy resources are re-dispatched to compensate the pre-SR strategies after the uncertainties realized. To address diverse uncertainties in the pre-SR stage, the stochastic programming (SP) is utilized, and an improved progressive hedging algorithm (PHA) is applied to reduce the computational burden caused by multiple scenarios in SP. Numerical results validate the effectiveness of MHSs in improving the flexibility of SR strategy and enhancing IEHS resilience.