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Open Access

State Estimation Approach for Combined Heat and Electric Networks

Tongtian Sheng, Guanxiong Yin, Bin Wang, Qinglai Guo, Jinni Dong, Hongbin Sun ( ), Zhaoguang Pan
Department of Electrical Engineering, State Key Laboratory of Power Systems, Tsinghua University, Beijing 100084, China
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Abstract

State estimation (SE) is essential for combined heat and electric networks (CHENs) to provide a global and self-consistent solution for multi-energy flow analysis. This paper proposes an SE approach for CHEN based on steady models of electric networks (ENs) and district heating networks (DHNs). A range of coupling components are considered. The performance of the proposed estimator is evaluated using Monte Carlo simulations and case studies. Results show that a relationship between the measurements from ENs and DHNs can improve the estimation accuracy for the entire network by using the combined SE model, especially when ENs and DHNs are strongly coupled. The coupling constraints could also provide extra redundancy to detect bad data in the boundary injection measurements of both networks. An analysis of computation time shows that the proposed method is suitable for online applications

Keywords

Bad data identificationcombined heat and electric networkscoupling componentstate estimationsteady model

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CSEE Journal of Power and Energy Systems
Volume 8 Issue 1,
January 2022
Pages 225-237
DOI: 10.17775/CSEEJPES.2019.03440
Cite this article:
Sheng T, Yin G, Wang B, et al. State Estimation Approach for Combined Heat and Electric Networks. CSEE Journal of Power and Energy Systems, 2022, 8(1): 225-237. https://doi.org/10.17775/CSEEJPES.2019.03440

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Received: 26 December 2019
Revised: 29 March 2020
Accepted: 20 May 2020
Published: 06 April 2020
© 2019 CSEE
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