Anomaly-Resistant Decentralized State Estimation Under Minimum Error Entropy With Fiducial Points for Wide-Area Power Systems

作     者：Bogang Qu Zidong Wang Bo Shen Hongli Dong Hongjian Liu Bogang Qu;Zidong Wang;Bo Shen;Hongli Dong;Hongjian Liu

作者机构：the College of Automation EngineeringShanghai University of Electric PowerShanghai 200090China IEEE the Department of Computer ScienceBrunel University LondonUxbridgeMiddiesex UB83PHUK the College of Information Science and TechnologyDonghua UniversityShanghai 200051 the Engineering Research Center of Digitalized Textile and Fashion TechnologyMinistry of EducationShanghai 201620China the Artificial Intelligence Energy Research InstituteNortheast Petroleum UniversityDaqing 163318 the Heilongjiang Provincial Key Laboratory of Networking and Intelligent ControlNortheast PetroleumDaqing 163318 the Sanya Offshore Oil&Gas Research InstituteNortheast Petroleum UniversitySanya 572024China the Key Laboratory of Advanced Perception and Intelligent Control of High-End EquipmentMinistry of EducationAnhui Polytechnic UniversityWuhu 2410000 the School of Mathematics and PhysicsAnhui Polytechnic UniversityWuhu 241000China 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2024年第11卷第1期

页      面：74-87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] 

基　　金：supported in part by the National Natural Science Foundation of China(61933007, U21A2019, 62273005, 62273088, 62303301) the Program of Shanghai Academic/Technology Research Leader of China (20XD1420100) the Hainan Province Science and Technology Special Fund of China(ZDYF2022SHFZ105) the Natural Science Foundation of Anhui Province of China (2108085MA07) the Alexander von Humboldt Foundation of Germany 

主　　题：Decentralized state estimation(SE) measurements with anomalies minimum error entropy unscented Kalman filter wide-area power systems 

摘      要：This paper investigates the anomaly-resistant decentralized state estimation(SE) problem for a class of wide-area power systems which are divided into several non-overlapping areas connected through transmission lines. Two classes of measurements(i.e., local measurements and edge measurements) are obtained, respectively, from the individual area and the transmission lines. A decentralized state estimator, whose performance is resistant against measurement with anomalies, is designed based on the minimum error entropy with fiducial points(MEEF) criterion. Specifically, 1) An augmented model, which incorporates the local prediction and local measurement, is developed by resorting to the unscented transformation approach and the statistical linearization approach;2) Using the augmented model, an MEEF-based cost function is designed that reflects the local prediction errors of the state and the measurement;and 3) The local estimate is first obtained by minimizing the MEEF-based cost function through a fixed-point iteration and then updated by using the edge measuring information. Finally, simulation experiments with three scenarios are carried out on the IEEE 14-bus system to illustrate the validity of the proposed anomaly-resistant decentralized SE scheme.