TY - JOUR
T1 - State Estimation for Integrated Energy Systems
T2 - Motivations, Advances, and Future Work
AU - Zhao, Junbo
AU - Srivastava, Ankur
AU - Guo, Ye
AU - Cetenovic, Dragan
AU - Lin, Yuzhang
AU - Levi, Victor
AU - Yin, Guanxiong
AU - Huang, Manyun
AU - Zhang, Tingting
AU - Li, Zhigang
AU - Chen, Yanbo
AU - Exposito, Antonio G.
AU - Zhang, Wen
AU - Zheng, Weiye
AU - Chakrabarti, Saikat
AU - Li, Yang
AU - Sharma, Ankush
AU - Kamwa, Innocent
AU - Guo, Qinglai
AU - Terzija, Vladimir
AU - Mili, Lamine
N1 - Publisher Copyright:
© 1969-2012 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Control centers
KW - dynamic state estimation
KW - energy internet
KW - energy management systems
KW - integrated energy systems
KW - state estimation
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U2 - 10.1109/TPWRS.2024.3524323
DO - 10.1109/TPWRS.2024.3524323
M3 - Article
AN - SCOPUS:85214036081
SN - 0885-8950
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
ER -