Vector Fitting-Based Reduced Order Modelling Method for Power Cables

Zhou, Weihua; Wang, Yanbo; Chen, Zhe

doi:10.1049/cp.2019.0050

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…This enhanced accuracy is crucial for studying the small-signal interactions between devices or the system's transient behaviors. The cable parameters can be found in [29]. The fitting error when the is not lower than 28th is small enough and acceptable.…”

Section: ) Reduced-order Modeling Of Cablesmentioning

confidence: 99%

Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems

Zhou,

Beerten

2023

IEEE Open J. Ind. Electron. Soc.

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Due to the capability to perform participation factor analysis and oscillation origin location, the state-space model (SSM)-based eigenvalue method has been widely used for stability assessment of inverterpenetrated power systems. However, possible internal confidentiality of inverters impedes the derivation of their SSMs. In addition, conventional derivation procedure of system SSM can be tedious when complicated transmission network topology and various transmission cables are involved, which may result in a highorder system SSM. To this end, this article presents a black box-based incremental reduced-order modeling framework. The reduced-order SSMs of the inverters and transmission cables are extracted from their dqdomain admittance frequency responses and abc-domain impedance frequency responses, respectively, by the matrix fitting algorithm. Then, the SSM operators proposed in this article recursively assemble the components' fitted SSMs in the similar manner as the impedance model operator-based recursive components' impedance aggregation, while preserving the dynamics of individual components. Simulation results show that the presented state-space modeling framework can properly identify the state-space models of black-box devices at component modeling stage, simplify assembling procedure at subsystems/components integration stage, and release computational burden at system participation factor analysis stage. INDEX TERMSBlack box, inverter, matrix fitting, order reduction, state-space model operator, transmission cable. Nomenclature Abbreviations AFR Admittance frequency response. CCM Component connection method. FOM Full-order model. IFR Impedance frequency response. IMO Impedance model operator. IMPO Impedance model parallel operator. IMSO Impedance model series operator. PCC Point of common coupling. PF Participation factor. ROM Reduced-order model. SSM State-space model. SSMO State-space model operator. SSMPO State-space model parallel operator. SSMSO State-space model series operator. VF/MF Vector/Matrix fitting. VSC Voltage source converter.

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Section: ) Reduced-order Modeling Of Cablesmentioning

confidence: 99%

Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems

Zhou,

Beerten

2023

IEEE Open J. Ind. Electron. Soc.

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“…The control parameters are obtained by comparing with the actual control structure. Furthermore, the VF algorithm can be utilized for impedance remodeling in gray box systems [18] or reducing the model order of power cables [19]. In [18], a gray-box parameter identification method has been presented to identify the internal parameters of GCI.…”

Section: Introductionmentioning

confidence: 99%

“…By adjusting the internal parameters of an inverter, the terminal output impedance can be reshaped to mitigate the oscillation issue that results from time-varying grid impedance. In [19], Prony analysis (PA) and VF are used to fit the frequency response and obtain the state space model of power cables, reducing the computational burden of power cable modeling and improving modeling and analysis efficiency. However, the identification of impedance by the aforementioned method does not consider the influence of perturbation, such as background harmonics, grid frequency deviation [20], and Phase Locked Loop (PLL) dynamics [21].…”

Section: Introductionmentioning

confidence: 99%

A Gray-Box Stability Analysis Method of Grid-Connected Inverter Considering Synchronization Dynamics

Zheng

Kong

et al. 2023

Electronics

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The Grid-Connected Inverter (GCI) can be considered a gray box when circuit and controller parameters are missing due to intellectual property rights or parameter variations caused by aging, which poses an impediment to assessing the stability of the system. This paper presents a gray-box stability analysis method based on impedance identification of GCI considering the synchronization dynamics. The impedance frequency responses of GCI are measured by the frequency scanning method on the dq-frame. Meanwhile, the influence of synchronization dynamics and background harmonics is theoretically investigated. A vector fitting (VF) algorithm, co-designed with impedance identification, is then applied to generate polynomial transfer functions. Based on the obtained transfer functions, the stability of the GCI can be judged by the distance relationship between the prohibited area boundary and the center of the gershgorin-circle through the distance formula. Finally, the experiments of both RT-LAB and experimental prototypes are conducted to verify the feasibility of the proposed method.

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Vector Fitting-Based Reduced Order Modelling Method for Power Cables

Cited by 2 publications

References 16 publications

Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems

Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems

A Gray-Box Stability Analysis Method of Grid-Connected Inverter Considering Synchronization Dynamics

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