Coordinated Power Restoration Strategy of Electric Vehicles and Emergency Power Supply Vehicles Considering Multi-Temporal Domains

[Objective] To address the problem of critical load power restoration after distribution network faults， a coordinated power restoration strategy integrating electric vehicles （EVs） and emergency power supply vehicles （EPSVs） across multiple temporal domains is proposed. [Methods] A multi-temporal EV equivalent power source model is established to characterize the available power capacity of EV fleets under summer， winter， workday， and holiday scenarios. A load outage loss assessment model considering load importance， capacity， and outage duration is developed. On this basis， a two-stage EV-EPSV coordinated scheduling model is constructed and solved using genetic algorithm （GA） and adaptive large neighborhood search （ALNS）. [Results] Simulation results show that， compared with the EV-only scheme， the EV+EPSV heuristic scheme achieves a load outage loss saving rate of approximately 9.51%-16.19%， while the proposed coordinated scheme achieves a load outage loss saving rate of approximately 34.49%-70.36%. Under the same coordinated restoration framework， ALNS outperforms local search （LS） with a saving rate of approximately 15.97%-49.18%. [Conclusions] The proposed strategy can exploit the temporal complementarity between the rapid response of EVs and the mobile compensation capability of EPSVs， effectively reducing load outage losses and improving power restoration efficiency after distribution network faults.