Resilience Two-stage Fault Recovery Strategy for Distribution Network Based on Disaster Scenario Prediction
It is crucial to predict possible disaster scenarios and coordinate the deployment of available emergency resources to improve the system's resilience index in response to frequent power outages caused by extreme disasters.This article proposes a two-stage elastic fault recovery strategy for distribution systems based on disaster scenario estimation.This strategy constructs a distribution line and traffic road interruption model considering time accumulation effects.It uses Monte Carlo simulation to simulate the fault status of the line to complete the estimation of disaster scenarios.Furthermore,based on the estimated disaster scenario,to minimize the scheduling time from mobile emergency resources to fault loads or interrupted lines,a pre-disaster localization model was constructed,which includes mobile emergency power charging stations and maintenance personnel maintenance stations,to avoid interruptions caused by high-weight fault loads.In addition,a disaster recovery model based on mobile emergency resource scheduling was constructed to minimize the weighted sum of load shedding over time for high-weight factor fault loads to ensure rapid recovery of high-weight loads.Finally,based on the improved IEEE 33 node distribution system and its corresponding transportation network,the effectiveness of the proposed two-stage fault recovery strategy was verified using the estimated disaster scenario as an example.
万方数据
维普
