Impedance-based root-cause analysis: comparative study of impedance models and calculation of eigenvalue sensitivity
File(s)Eigenvalue_Sensitivity_Accepted_Version.pdf (3.26 MB)
Accepted version
Author(s)
Zhu, Yue
Gu, Yunjie
Li, Yitong
Green, Tim
Type
Journal Article
Abstract
Impedance models of power systems are useful when state-space models of apparatus such as inverter-based resources (IBRs) have not been made available and instead only black-box impedance models are available. For tracing the root causes of poor damping and tuning modes of the system, the sensitivity of the modes to components and parameters are needed. The so-called critical admittance-eigenvalue sensitivity based on nodal
admittance model has provided a partial solution but omits meaningful directional information. The alternative whole-system impedance model yields participation factors of shunt-connected apparatus with directional information that allows separate tuning for damping and frequency, yet do not cover series-connected components. This paper formalises the relationships between the two forms of impedance models and between the two forms of root-cause analysis. The calculation of system eigenvalue
sensitivity in impedance models is further developed, which fills the gaps of previous research and establishes a complete theory of impedance-based root-cause analysis. The theoretical relationships and the tuning of parameters have been illustrated with a three-node passive network, a modified IEEE 14-bus network and a modified NETS-NYPS 68-bus network, showing that tools can be developed for tuning of IBR-rich power systems
where only black-box impedance models are available.
admittance model has provided a partial solution but omits meaningful directional information. The alternative whole-system impedance model yields participation factors of shunt-connected apparatus with directional information that allows separate tuning for damping and frequency, yet do not cover series-connected components. This paper formalises the relationships between the two forms of impedance models and between the two forms of root-cause analysis. The calculation of system eigenvalue
sensitivity in impedance models is further developed, which fills the gaps of previous research and establishes a complete theory of impedance-based root-cause analysis. The theoretical relationships and the tuning of parameters have been illustrated with a three-node passive network, a modified IEEE 14-bus network and a modified NETS-NYPS 68-bus network, showing that tools can be developed for tuning of IBR-rich power systems
where only black-box impedance models are available.
Date Issued
2022-05-30
Date Acceptance
2022-05-21
Citation
IEEE Transactions on Power Systems, 2022, 38 (2), pp.1642-1654
ISSN
0885-8950
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1642
End Page
1654
Journal / Book Title
IEEE Transactions on Power Systems
Volume
38
Issue
2
Copyright Statement
Copyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/abstract/document/9785718
Publication Status
Published
Date Publish Online
2022-05-30