1 School of Economics and Management, North China Electric Power University, Beijing 102206, China;2. School of Electrical Engineering and Information, Sichuan University, Chengdu 610065, China; 3. Power System Emergency Management Center of State Grid Sichuan Electric Power Company, Chengdu 610041, China
Disaster information detection is the foundation of power emergency repair. The accuracy of information feedback will directly influence the timeliness of power emergency repair. Proceeding from the aspect of information feedback accuracy, emergency repair time, transportation route and the adaptive constraint on different kinds of facilities an optimization model for information detection and storage point selection is developed for minimizing the total cost and expected loss. Then the facility scheduling model considering the information loss of each demand point after the accident is built. The simulation result shows that the models proposed can effectively improve the information detection ability to adapt to the actual demand fluctuation in the power emergency repair, while reducing the facility purchase cost and meeting the requirement on information accuracy in the disaster information detection period.
LIU Wenyan, LI Huanhuan, TAN Zhongfu,et al.Optimization Model of Detecting Facility Storage and Scheduling for Power System Emergency Considering Information Accuracy[J].Automation of Electric Power Systems,2017,41(15):162-169.DOI:10.7500/AEPS20160919001Copy