Robust Reactive Power Scheduling of Distribution Networks Based on Modified Bootstrap Technique

作     者：Wenlong Liao Shouxiang Wang Birgitte Bak-Jensen Jayakrishnan Radhakrishna Pillai Zhe Yang Wenlong Liao;Shouxiang Wang;Birgitte Bak-Jensen;Jayakrishnan Radhakrishna Pillai;Zhe Yang

作者机构：the AAU EnergyAalborg UniversityAalborg 9220Denmark the Key Laboratory of Smart GridMinistry of EducationSchool of Electrical and Information EngineeringTianjin UniversityTianjin 300072China 

出 版 物：《Journal of Modern Power Systems and Clean Energy》 (现代电力系统与清洁能源学报（英文）)

年 卷 期：2024年第12卷第1期

页      面：154-166页

核心收录：

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 

主　　题：Distribution network worst-case scenario robust programming prediction error bootstrap technique 

摘      要：The uncertainties of the power load,wind power,and photovoltaic power lead to errors between point prediction values and real values,which challenges the safe operation of distribution *** this paper,a robust reactive power scheduling(RRPS)model based on a modified bootstrap technique is proposed to consider the uncertainties of power loads and renewable energy ***,a deterministic reactive power scheduling(DRPS)model and an RRPS model are ***,a modified bootstrap technique is proposed to estimate prediction errors of power loads and renewable energy sources without artificially assuming the probability density function of prediction *** represent all possible scenarios,point prediction values and prediction errors are combined to construct two worst-case scenarios in the RRPS ***,the RRPS model is solved to find a scheduling scheme,which ensures the security of distribution networks for all possible scenarios in *** results show that the worst-case scenarios constructed by the modified bootstrap technique outperform popular ***,the RRPS model based on the modified bootstrap technique balances economics and security well.