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.
Highlights
The increasingly prominent problems of energy and environment have promoted the change of energy consumption patterns of human beings
Energies 2020, 13, 4488 estimation model with the full heating network constraints of integrated electrical and heating networks (IEHNs) was established, and a robust state estimation method based on a pseudo-measurement model was proposed. [18] proposed a bilinear, weighted least absolute value (WLAV) SE method for IEHNs
Compared with WLAV, the computational efficiency of the method proposed in this article is increased by more than 60%
Summary
The increasingly prominent problems of energy and environment have promoted the change of energy consumption patterns of human beings. [14] proposed a weighted least square (WLS) state estimation method for IEHNs, which has high convergence and can obtain high estimation accuracy in the absence of bad data. Energies 2020, 13, 4488 estimation model with the full heating network constraints of IEHNs was established, and a robust state estimation method based on a pseudo-measurement model was proposed. [18] proposed a bilinear, weighted least absolute value (WLAV) SE method for IEHNs. Sheng proposed a two-stage iterative hybrid state estimation method for integrated heat and electricity networks [19]. Sheng proposed a two-stage iterative hybrid state estimation method for integrated heat and electricity networks [19] Through this method, the time delay of thermal transportation is considered and estimated. This method can improve the efficiency of IEHNs state estimation by simplifying the calculation scale of the ring-shaped heating network
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