Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines

Zhigang Li; Wenjian Zheng; Junbo Zhao; J. H. Zheng; Q. H. Wu

doi:10.17775/CSEEJPES.2022.04860

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Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines

Regular Papers | 更新时间：2026-10-15

- Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines
- CSEE Journal of Power and Energy Systems Vol. 10, Issue 3, Pages: 1145-1158(2024)
- 作者机构：
  
  1. School of Electric Power Engineering, South China University of Technology,Guangzhou,China
  2. Fuzhou Changle District Power Supply Company of State Grid Fujian Electric Power Co., Ltd.,Fuzhou,China
  3. Department of Electrical and Computer Engineering, University of Connecticut, Storrs,CT,USA
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2022.04860
  CLC：
- Published：01 May 2024
- 稿件说明：
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Zhigang Li, Wenjian Zheng, Junbo Zhao, et al. Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1145-1158.
DOI：

Zhigang Li, Wenjian Zheng, Junbo Zhao, et al. Observability Analysis of Integrated Electricity and Heating Systems with Thermal Quasi-Dynamics in Pipelines[J]. CSEE Journal of Power and Energy Systems, 2024, 10(3): 1145-1158. DOI： 10.17775/CSEEJPES.2022.04860.

摘要

Abstract

Observability analysis (OA) is vital to obtaining the available input measurements of state estimation (SE) in an integrated electricity and heating system (IEHS). Considering the thermal quasi-dynamics in pipelines

the measurement equations in heating systems are dependent on the estimated results

leading to an interdependency between OA and SE. Conventional OA methods require measurement equations be known exactly before SE is performed

and they are not applicable to IEHSs. To bridge this gap

a scenario-based OA scheme for IEHSs is devised that yields reliable analysis results for a predefined set of time-delay scenarios to cope with this interdependency. As its core procedure

the observable state identification and observability restoration are formulated in terms of integer linear programming. Numerical tests are conducted to demonstrate the validity and superiority of the proposed formulation.

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