A Fast State Estimator for Integrated Electrical and Heating Networks

A Fast State Estimator for Integrated Electrical and Heating Networks

<b> </b>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...

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Main Authors: Chun Wang, Minghao Geng, Qingshan Xu, Haixiang Zang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Energies
Subjects:
integrated electrical and heating networks
state estimation
weighted least squares absolute value
Online Access:https://www.mdpi.com/1996-1073/13/17/4488
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spelling doaj-6e03da45a52b42ad8dd854651ea64afe2020-11-25T03:37:19ZengMDPI AGEnergies1996-10732020-08-01134488448810.3390/en13174488A Fast State Estimator for Integrated Electrical and Heating NetworksChun Wang0Minghao Geng1Qingshan Xu2Haixiang Zang3School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 210098, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaCollege of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China<b> </b>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.https://www.mdpi.com/1996-1073/13/17/4488integrated electrical and heating networksstate estimationweighted least squares absolute value
collection DOAJ
language English
format Article
sources DOAJ
author Chun Wang
Minghao Geng
Qingshan Xu
Haixiang Zang
spellingShingle Chun Wang
Minghao Geng
Qingshan Xu
Haixiang Zang
A Fast State Estimator for Integrated Electrical and Heating Networks
Energies
integrated electrical and heating networks
state estimation
weighted least squares absolute value
author_facet Chun Wang
Minghao Geng
Qingshan Xu
Haixiang Zang
author_sort Chun Wang
title A Fast State Estimator for Integrated Electrical and Heating Networks
title_short A Fast State Estimator for Integrated Electrical and Heating Networks
title_full A Fast State Estimator for Integrated Electrical and Heating Networks
title_fullStr A Fast State Estimator for Integrated Electrical and Heating Networks
title_full_unstemmed A Fast State Estimator for Integrated Electrical and Heating Networks
title_sort fast state estimator for integrated electrical and heating networks
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2020-08-01
description <b> </b>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.
topic integrated electrical and heating networks
state estimation
weighted least squares absolute value
url https://www.mdpi.com/1996-1073/13/17/4488
work_keys_str_mv AT chunwang afaststateestimatorforintegratedelectricalandheatingnetworks
AT minghaogeng afaststateestimatorforintegratedelectricalandheatingnetworks
AT qingshanxu afaststateestimatorforintegratedelectricalandheatingnetworks
AT haixiangzang afaststateestimatorforintegratedelectricalandheatingnetworks
AT chunwang faststateestimatorforintegratedelectricalandheatingnetworks
AT minghaogeng faststateestimatorforintegratedelectricalandheatingnetworks
AT qingshanxu faststateestimatorforintegratedelectricalandheatingnetworks
AT haixiangzang faststateestimatorforintegratedelectricalandheatingnetworks
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