2017
DOI: 10.1109/jestpe.2017.2727503
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The Application of Vector Fitting to Eigenvalue-Based Harmonic Stability Analysis

Abstract: Abstract-Participation factor analysis is an interesting feature of the eigenvalue-based stability analysis in a power system, which enables the developers to identify the problematic elements in a multi-vendor project like in an offshore wind power plant. However, this method needs a full state space model of the elements that is not always possible to have in a competitive world due to confidentiality. In this paper, by using an identification method, the state space models for power converters are extracted… Show more

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Cited by 25 publications
(62 citation statements)
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“…From Equation (3), it can be assumed that the grid voltage is stable in the absence of the inverter, and the inverter will be stable if the grid impedance is zero. Nevertheless, when the grid impedance is not negligible, the system will be stable only if the impedance ratio K satisfies the Nyquist criterion in Reference [12]. In other words, the system will be stable, only if the Nyquist curve of the impedance ratio does not surround (−1, j0).…”
Section: Oscillation Mechanismmentioning
confidence: 99%
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“…From Equation (3), it can be assumed that the grid voltage is stable in the absence of the inverter, and the inverter will be stable if the grid impedance is zero. Nevertheless, when the grid impedance is not negligible, the system will be stable only if the impedance ratio K satisfies the Nyquist criterion in Reference [12]. In other words, the system will be stable, only if the Nyquist curve of the impedance ratio does not surround (−1, j0).…”
Section: Oscillation Mechanismmentioning
confidence: 99%
“…The first is the eigenvalue-based analysis [11], which is usually utilized to evaluate the system's stability. The eigenvalue-based stability analysis studies the eigenvalues of a system's state space model matrix, which requires the physical features and control parameters in the system [12]. The second one is the impedance-based stability criteria [13,14], which is well built to adjudicate the system stability.…”
Section: Introductionmentioning
confidence: 99%
“…The eigenvalues can be obtained by an analytical evaluation of the whole system [13] or by approximating the driving point impedance, which is indeed the equivalent impedance of that node as a frequency response, into state equations using the Vector Fitting method [11], [12]. However, the former leads to a very complicated study and it also needs analytical models of all components that might not be available due to the confidentiality or difficulty in the modeling [14]- [16]. The latter can also not identify the problematic subsystem because it only measures the driving point impedance.…”
Section: Introductionmentioning
confidence: 99%
“…However, in the design phase the system designer might have some unstable cases, which cannot be predicted by this method. The Vector Fitting method has recently been used for finding a state-space model for the components, whose parameters/structures are unknown due to either the confidentiality or difficulty in the modeling [16]. The Component Connection Method (CCM) is afterwards used to find the overall state-space model of the entire system.…”
Section: Introductionmentioning
confidence: 99%
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