State Estimation for Integrated Energy Systems: Motivations, Advances, and Future Work
Junbo Zhao, Ankur Srivastava, Ye Guo, Dragan Ćetenović, Yuzhang Lin, Víctor Leví, Guanxiong Yin, Manyun Huang, Tingting Zhang, Zhigang Li, Yanbo Chen, Antonio Gómez‐Expósito, Wen Zhang, Weiye Zheng, Saikat Chakrabarti, Yang Li, Ankush Sharma, Innocent Kamwa, Qinglai Guo, Vladimir Terzija, Lamine Mili
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.