A Pseudo-measurement Modelling Strategy for Active Distribution Networks Considering Uncertainty of DGs

作     者：Dongliang Xu Junjun Xu Cheng Qian Zaijun Wu Qinran Hu 

作者机构：School of Electrical EngineeringSoutheast UniversityNanjing 210096China College of Automation&College of Artificial IntelligenceNanjing University of Posts and TelecommunicationsNanjing 210003China 

出 版 物：《Protection and Control of Modern Power Systems》 (现代电力系统保护与控制（英文）)

年 卷 期：2024年第9卷第5期

页      面：1-15页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：supported by the National Natural Science Foundation of China(No.52377086) 

主　　题：Distribution network pseudo-measurement uncertainty of DGs state estimation entropy weighting method-support vector machine(EWM-SVM) 

摘      要：Active distribution networks utilize ad-vanced sensors,communication,and control technologies to achieve flexible and intelligent power distribution *** state estimation(SE)is crucial for distribution management systems to monitor these ***,the scarcity of measurement re-sources has hindered the application of SE technology in distribution *** a dependable pseu-do-measurement model for active distribution networks can significantly enhance the feasibility of *** paper proposes a pseudo-measurement model that aligns with the actual operating status of the distribution network,considering the uncertainty in output from distributed generations(DGs)such as wind turbines and ***,it analyzes and models the uncertainty of high-penetration DG output,establishing a reliable out-put model that incorporates the physical characteristics of wind and photovoltaic ***,it proposes a pseudo-measurement modeling method based on support vector machine(SVM),where the kernel function of the SVM is weighted according to the information entropy of fluctuations in historical operating *** weighting ensures that the established pseudo-measurement model better reflects the actual operating status of the active distribution ***,a mathematical model for optimizing pseudo-measurement selection is developed,with the minimum state estimation error as the objective function and the observability of the active distribution network system as the *** studies demon-strate the accuracy and effectiveness of this *** Terms—Distribution network,pseudo-measure-ment,uncertainty of DGs,state estimation,entropy weighting method-support vector machine(EWM-SVM).