State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System
作者机构：School of Electrical Engineering and AutomationWuhan UniversityWuhan 430074China Huizhou Power Supply Bureau Co.Ltd.Huizhou516001Guangdong ProvinceChina Electrical Engineering DepartmentFaculty of EngineeringMinia UniversityMinia 61519Egypt
出 版 物：《CSEE Journal of Power and Energy Systems》 (中国电机工程学会电力与能源系统学报（英文）)
年 卷 期：2022年第8卷第4期
页 面：983-992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 by National Natural Science Foundation of China under Grant No.51907096
主 题：Data characteristics evolution direction random matrix theory real-time evaluation resilient power system
摘 要：Resilient power systems urgently need real-time evaluation of their operational *** mining the characteristics of the grid operational data and mapping them to the operational state,this paper proposes a method to evaluate the real-time state and the evolution direction of power ***,the state evaluation matrix is constructed using nodal ***,from the data-driven perspective,the grid state is embodied in the operational data ***,four indicators are proposed to characterize the power grid statefrom inherent physical and operating characteristics ***,through the simulations of a real power grid in China,it is shown that the method proposed in this paper can adequately characterize the power grid state,and is robust against bad data.
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