A review of active probing-based system identification techniques with applications in power systems

Chakraborty, Rahul; Jain, Himanshu; Seo, Gab-Su

doi:10.1016/j.ijepes.2022.108008

Title: A review of active probing-based system identification techniques with applications in power systems

Journal Article · 22 February 2022 · International Journal of Electrical Power and Energy Systems

DOI: https://doi.org/10.1016/j.ijepes.2022.108008 · OSTI ID:1855376

^[1]; Jain, Himanshu ^[2];

^[3]

North Carolina State Univ., Raleigh, NC (United States)
Indian Inst. of Technology (IIT), Uttarkhand (India)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

System identification is becoming a relevant research area for numerous applications in power grids due to the increasing complexity of the system. A paradigm shift in power system infrastructure driven by renewable energy resources, controllable loads, and new power electronics technologies have given rise to new challenges in power systems operation and control. This increased complexity of power systems and unavailability of physics-based models of most inverter-based resources requires that traditional modeling of power systems approaches be complemented by system identification-based black or grey box modeling techniques. In light of the importance of system identification and little attention paid to the applications of these techniques in transforming power systems, this paper provides a comprehensive review of active probing-based system identification methods in the context of power system applications. It reviews applications of both linear and nonlinear system identification with discussion on their potential and key takeaways. To motivate a further practical use in power systems, the paper provides an example of system identification, to develop a state space model of an unknown plant with step-by-step details. The paper highlights the advantages of using modern power electronics-based sources in the identification process and discusses the emerging research directions for future.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Solar Energy Technologies Office (EE-4S)

Grant/Contract Number:: AC36-08GO28308

OSTI ID:: 1855376

Report Number(s):: NREL/JA-5D00-79841; MainId:39059; UUID:6a637153-efa3-4f90-bfed-b030fee399e9; MainAdminID:63883

Journal Information:: International Journal of Electrical Power and Energy Systems, Journal Name: International Journal of Electrical Power and Energy Systems Vol. 140; ISSN 0142-0615

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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Title: A review of active probing-based system identification techniques with applications in power systems

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