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

Junbo Zhao, Ankur Srivastava, Ye Guo, Dragan Cetenovic, Yuzhang Lin, Victor Levi, Guanxiong Yin, Manyun Huang, Tingting Zhang, Zhigang Li, Yanbo Chen, Antonio G. Exposito, Wen Zhang, Weiye Zheng, Saikat Chakrabarti, Yang Li, Ankush Sharma, Innocent Kamwa, Qinglai Guo, Vladimir TerzijaLamine Mili

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
JournalIEEE Transactions on Power Systems
DOIs
StateAccepted/In press - 2024

Keywords

  • Control centers
  • dynamic state estimation
  • energy internet
  • energy management systems
  • integrated energy systems
  • state estimation

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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