State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy Systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric Power Systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy Systems–State Estimation (IES-SE) and more established Electric Power System–State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE.

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Publication Details

Journal
IEEE Transactions on Power Systems
Published
2024-12-31
DOI
https://doi.org/10.1109/tpwrs.2024.3524323
Citations
10
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
2.09

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article

State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work

Manyun Huang, Innocent Kamwa, Ankur Srivastava, Ye Guo et al.
10 citations
IEEE Transactions on Power Systems
Integrated Energy Systems Optimization
2.09
article

State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work

Manyun Huang, Innocent Kamwa, Ankur Srivastava, Ye Guo, Qinglai Guo, Antonio Gómez‐Expósito, Weiye Zheng, Víctor Leví, Vladimir Terzija, Junbo Zhao, Ankush Sharma, Wen Zhang, Saikat Chakrabarti, Guanxiong Yin, Dragan Ćetenović, Yuzhang Lin, Lamine Mili, Tingting Zhang, Yang Li, Zhigang Li
article en
10 citations

Abstract

This paper summarizes the technical activities of a three-year-long IEEE Task Force (TF) on State Estimation (SE) for Integrated Energy Systems (IES). It presents the formal definition and characteristics of IES, along with the comprehensive discussion on Electric Power Systems (EPS) model, and static and dynamic models associated with heating and natural gas systems. The paper also identifies the barriers of SE for IES, such as estimation modeling, observability analysis, and measurement requirements, together with addressing multi-scale dynamics. An extensive comparative analysis between Integrated Energy Systems–State Estimation (IES-SE) and more established Electric Power System–State Estimation (EPS-SE) is presented. The paper also provides future research needs and directions related to IES-SE.

IEEE Transactions on Power SystemsVol. 40(4)
University of Connecticut (US), North China Electric Power University (CN), Shandong University (CN), Hohai University (CN), Northeast Electric Power University (CN), University of Manchester (GB), Tsinghua–Berkeley Shenzhen Institute (CN), Chinese University of Hong Kong, Shenzhen (CN), Université Laval (CA), New York University (US), Universidad de Sevilla (ES), Newcastle University (GB), Virginia Tech (US), South China University of Technology (CN), Indian Institute of Technology Kanpur (IN), Tsinghua University (CN)
Engineering and Physical Sciences Research Council
Affordable and clean energy
Openalex Percentile: Top 12%
Integrated Energy Systems Optimization
2.09
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