Dynamic State Estimation for Integrated Electricity-gas Systems Based on Kalman Filter

作     者：Yanbo Chen Yuan Yao Yuzhang Lin Xiaonan Yang Yanbo Chen;Yuan Yao;Yuzhang Lin;Xiaonan Yang

作者机构：State Key Laboratory of Alternate Electrical Power System with Renewable Energy SourcesSchool of Electrical&Electronic EngineeringNorth China Electric Power University102206 BeijingChina Qinghai Key Laboratory of Efficient Utilization of Clean EnergyTus-Institute for Renewable EnergyQinghai UniversityXining 810016China School of EngineeringXining UniversityXining 810016China School of Electrical&Electronic EngineeringNorth China Electric Power University102206 BeijingChina Department of Electrical and Computer EngineeringUniversity of MassachusettsLowellMA 01852USA State Key Laboratory of Power Grid Safety and Energy ConservationChina Electric Power Research Institute100192 BeijingChina 

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1期

页      面：293-303页

核心收录：

学科分类：0808[工学-电气工程] 080802[工学-电力系统及其自动化] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0807[工学-动力工程及工程热物理] 0805[工学-材料科学与工程（可授工学、理学学位）] 0702[理学-物理学] 

基　　金：This work was supported in part by National Natural Science Foundation of China(51777067)and(52077076) in part by funding from the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(LAPS2021-18). 

主　　题：Dynamic state estimation integrated electricitygas system Kalman filter two time-scale measurements transition state equation 

摘      要：In recent years, integrated electricity-gas systems(IEGSs) have attracted widespread attention. The unifiedscheduling and control of the IEGS depends on high-precisionoperating data. To this end, it is necessary to establish anappropriate state estimation (SE) model for IEGS to filter theraw measured data. Considering that power systems and naturalgas systems have different time scales and sampling periods, thispaper proposes a dynamic state estimation (DSE) method basedon a Kalman filter that can consider the dynamic characteristicsof natural gas pipelines. First, the standardized state transitionequations for the gas system are developed by applying the finitedifference method to the partial differential equations (PDEs) ofthe gas system;then the DSE model for IEGS is formulatedbased on a Kalman filter;also, the measurements from theelectricity system and the gas system with different samplingperiods are fused to ensure the observability of DSE by using theinterpolation method. The IEEE 39-bus electricity system and the18-nodes Belgium gas system are integrated as the test systems.Simulation results verify the proposed method’s accuracy andcalculation efficiency.