Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations
Abstract A comprehensive energy system state estimation is of great significance to promote efficient, stable and reliable operation of the system. Based on coupling characteristics of electricity‐gas‐heat multi‐energy flow and bilinear transformation method, this paper proposes a robust state estim...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12037 |
| _version_ | 1798001053788012544 |
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| author | Qiuyue Chen Dechang Yang Yaning Wang Christian Rehtanz Hrvoje Pandžić |
| author_facet | Qiuyue Chen Dechang Yang Yaning Wang Christian Rehtanz Hrvoje Pandžić |
| author_sort | Qiuyue Chen |
| collection | DOAJ |
| description | Abstract A comprehensive energy system state estimation is of great significance to promote efficient, stable and reliable operation of the system. Based on coupling characteristics of electricity‐gas‐heat multi‐energy flow and bilinear transformation method, this paper proposes a robust state estimation method suitable for integrated energy systems. First, the state estimation models of electricity, gas and heat energy subsystems and coupling components are constructed. Then, by introducing pseudo state variables and intermediate variables, the nonlinear state estimation process is divided into four stages. Among them, the first and third stages are solved by WLAV method and WLS method respectively, and the second and fourth stages are simple nonlinear transformation processes. Finally, the robust state estimation method is verified on a 40‐node simulation example. The bilinear robust state estimation method proposed not only solves the difficulty of selecting initial values of heterogeneous networks and the problem of non‐convergence of algorithms, but also can search and identify various types of bad data, and has high computational efficiency and good robustness. |
| first_indexed | 2024-04-11T11:30:05Z |
| format | Article |
| id | doaj.art-4181c36dc3514b0ab721e7ae117cca4e |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-04-11T11:30:05Z |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-4181c36dc3514b0ab721e7ae117cca4e2022-12-22T04:26:10ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952021-01-0115114916310.1049/gtd2.12037Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformationsQiuyue Chen0Dechang Yang1Yaning Wang2Christian Rehtanz3Hrvoje Pandžić4School of Information and Electrical Engineering China Agricultural University Beijing ChinaSchool of Information and Electrical Engineering China Agricultural University Beijing ChinaSchool of Information and Electrical Engineering China Agricultural University Beijing ChinaInstitute of Energy Systems, Energy Economics and Energy Efficiency (ie3) TU Dortmund University Dortmund GermanyFaculty of Electrical Engineering and Computing University of Zagreb Zagreb CroatiaAbstract A comprehensive energy system state estimation is of great significance to promote efficient, stable and reliable operation of the system. Based on coupling characteristics of electricity‐gas‐heat multi‐energy flow and bilinear transformation method, this paper proposes a robust state estimation method suitable for integrated energy systems. First, the state estimation models of electricity, gas and heat energy subsystems and coupling components are constructed. Then, by introducing pseudo state variables and intermediate variables, the nonlinear state estimation process is divided into four stages. Among them, the first and third stages are solved by WLAV method and WLS method respectively, and the second and fourth stages are simple nonlinear transformation processes. Finally, the robust state estimation method is verified on a 40‐node simulation example. The bilinear robust state estimation method proposed not only solves the difficulty of selecting initial values of heterogeneous networks and the problem of non‐convergence of algorithms, but also can search and identify various types of bad data, and has high computational efficiency and good robustness.https://doi.org/10.1049/gtd2.12037Optimisation techniquesControl of electric power systemsInterpolation and function approximation (numerical analysis)Interpolation and function approximation (numerical analysis)Power system controlStability in control theory |
| spellingShingle | Qiuyue Chen Dechang Yang Yaning Wang Christian Rehtanz Hrvoje Pandžić Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations IET Generation, Transmission & Distribution Optimisation techniques Control of electric power systems Interpolation and function approximation (numerical analysis) Interpolation and function approximation (numerical analysis) Power system control Stability in control theory |
| title | Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations |
| title_full | Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations |
| title_fullStr | Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations |
| title_full_unstemmed | Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations |
| title_short | Robust state estimation of electricity‐gas‐heat integrated energy system based on the bilinear transformations |
| title_sort | robust state estimation of electricity gas heat integrated energy system based on the bilinear transformations |
| topic | Optimisation techniques Control of electric power systems Interpolation and function approximation (numerical analysis) Interpolation and function approximation (numerical analysis) Power system control Stability in control theory |
| url | https://doi.org/10.1049/gtd2.12037 |
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