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

Yanbo Chen Yuan Yao Yuzhang Lin Xiaonan Yang

中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(1)：293-303,11.
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中国电机工程学会电力与能源系统学报（英文版）2022，Vol.8Issue(1)：293-303,11.DOI:10.17775/CSEEJPES.2020.02050

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

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

Yanbo Chen 1Yuan Yao 2Yuzhang Lin 3Xiaonan Yang4

作者信息

  • 1. 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
  • 2. School of Electrical & Electronic Engineering,North China Electric Power University,102206 Beijing,China
  • 3. Department of Electrical and Computer Engineering,Uni-versity of Massachusetts,Lowell,MA 01852,USA
  • 4. State Key Laboratory of Power Grid Safety and Energy Conservation,China Electric Power Research Institute,100192 Beijing,China
  • 折叠

摘要

关键词

Dynamic state estimation/integrated electricity-gas system/Kalman filter/two time-scale measurements/transition state equation

Key words

Dynamic state estimation/integrated electricity-gas system/Kalman filter/two time-scale measurements/transition state equation

引用本文复制引用

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）,2022,8(1):293-303,11.

基金项目

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

中国电机工程学会电力与能源系统学报（英文版）

OACSCDCSTPCDEISCI

2096-0042

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