LAPSE:2023.26121
Published Article
LAPSE:2023.26121
A Fast State Estimator for Integrated Electrical and Heating Networks
Chun Wang, Minghao Geng, Qingshan Xu, Haixiang Zang
March 31, 2023
Abstract
Integrated electrical and heating networks (IEHNs) effectively improve energy utilization efficiency, reduce environmental pollution and realize sustainable development of energy. To realize the accurate, comprehensive and fast perception of the integrated electrical and heating networks, it is necessary to build a state estimation model. However, the robust state estimator of IEHNs based on the temperature drop equation, flow balance equation and power balance equation still have the problems of convergence and low computational efficiency. In this paper, a fast state estimation method based on weighted least absolute value is proposed, which makes partition calculation of ring-shaped heating network and radiant heating network under certain assumptions. Simulation results show that the method improves the efficiency of the robust state estimator on the premise of high accuracy.
Keywords
integrated electrical and heating networks, state estimation, weighted least squares absolute value
Suggested Citation
Wang C, Geng M, Xu Q, Zang H. A Fast State Estimator for Integrated Electrical and Heating Networks. (2023). LAPSE:2023.26121
Author Affiliations
Wang C: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Geng M: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China [ORCID]
Xu Q: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Zang H: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China [ORCID]
Journal Name
Energies
Volume
13
Issue
17
Article Number
E4488
Year
2020
Publication Date
2020-08-31
ISSN
1996-1073
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Original Submission
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PII: en13174488, Publication Type: Journal Article
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LAPSE:2023.26121
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https://doi.org/10.3390/en13174488
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