A Fast State Estimator for Integrated Electrical and Heating Networks

Chun Wang, Minghao Geng, Qingshan Xu and Haixiang Zang
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Chun Wang: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Minghao Geng: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China
Qingshan Xu: School of Electrical Engineering, Southeast University, Nanjing 210096, China
Haixiang Zang: College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China

Energies, 2020, vol. 13, issue 17, 1-13

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 (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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