In recent years,integrated electricity-gas systems(IEGSs) have attracted widespread attention.The unified scheduling and control of the IEGS depends on high-precision operating data.To this end,it is necessary to establish an appropriate state estimation (SE) model for IEGS to filter the raw measured data.Considering that power systems and natural gas systems have different time scales and sampling periods,this paper proposes a dynamic state estimation (DSE) method based on a Kalman filter that can consider the dynamic characteristics of natural gas pipelines.First,the standardized state transition equations for the gas system are developed by applying the finite difference method to the partial differential equations (PDEs) of the gas system;then the DSE model for IEGS is formulated based on a Kalman filter;also,the measurements from the electricity system and the gas system with different sampling periods are fused to ensure the observability of DSE by using the interpolation method.The IEEE 39-bus electricity system and the 18-nodes Belgium gas system are integrated as the test systems.Simulation results verify the proposed method's accuracy and calculation efficiency.

Yanbo Chen;Yuan Yao;Yuzhang Lin;Xiaonan Yang

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,School of Electrical & Electronic Engineering,North China Electric Power University,102206 Beijing,China,Qinghai Key Laboratory of Efficient Utilization of Clean Energy,Tus-Institute for Renewable Energy,Qinghai University,Xining 810016,China,and School of Engineering,Xining University,Xining 810016,China;School of Electrical & Electronic Engineering,North China Electric Power University,102206 Beijing,China;Department of Electrical and Computer Engineering,Uni-versity of Massachusetts,Lowell,MA 01852,USA;State Key Laboratory of Power Grid Safety and Energy Conservation,China Electric Power Research Institute,100192 Beijing,China

中国电机工程学会电力与能源系统学报（英文版）

[1]Yanbo Chen;Yuan Yao;Yuzhang Lin;Xiaonan Yang-.Dynamic State Estimation for Integrated Electricity-gas Systems Based on Kalman Filter)[J].中国电机工程学会电力与能源系统学报（英文版）,2022(01):293-303

IEGSs

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