A Grey-Box Parameters Identification Method of Grid-Connected Inverter Using Vector Fitting Algorithm

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Resumé

This paper presents a vector fitting (VF) algorithm-based grey-box structure and controller parameters identification method for grid-connected inverter. Terminal frequency responses of inverter are first measured by frequency scanning method. Then, mathematical representation of these impedance frequency responses are fitted in a form of polynomial transfer function by using VF algorithm. Finally, the theoretical terminal impedance formulas of possible control structures are compared with the fitted transfer function. Simulation results show that the proposed method is able to identify internal control
structure and system parameters when internal parameters are unknown due to industrial secrecy or are perturbated due to variation of operation points, temperature and aging impact.
OriginalsprogEngelsk
Titel10th International Conference on Power Electronics - ECCE Asia
Publikationsdato30 jan. 2019
StatusAccepteret/In press - 30 jan. 2019

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Frequency response
Transfer functions
Identification (control systems)
Aging of materials
Polynomials
Scanning
Controllers
Temperature

Citer dette

Zhou, W., Wang, Y., & Chen, Z. (Accepteret/In press). A Grey-Box Parameters Identification Method of Grid-Connected Inverter Using Vector Fitting Algorithm. I 10th International Conference on Power Electronics - ECCE Asia
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title = "A Grey-Box Parameters Identification Method of Grid-Connected Inverter Using Vector Fitting Algorithm",
abstract = "This paper presents a vector fitting (VF) algorithm-based grey-box structure and controller parameters identification method for grid-connected inverter. Terminal frequency responses of inverter are first measured by frequency scanning method. Then, mathematical representation of these impedance frequency responses are fitted in a form of polynomial transfer function by using VF algorithm. Finally, the theoretical terminal impedance formulas of possible control structures are compared with the fitted transfer function. Simulation results show that the proposed method is able to identify internal controlstructure and system parameters when internal parameters are unknown due to industrial secrecy or are perturbated due to variation of operation points, temperature and aging impact.",
author = "Weihua Zhou and Yanbo Wang and Zhe Chen",
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A Grey-Box Parameters Identification Method of Grid-Connected Inverter Using Vector Fitting Algorithm. / Zhou, Weihua; Wang, Yanbo; Chen, Zhe.

10th International Conference on Power Electronics - ECCE Asia. 2019.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - A Grey-Box Parameters Identification Method of Grid-Connected Inverter Using Vector Fitting Algorithm

AU - Zhou, Weihua

AU - Wang, Yanbo

AU - Chen, Zhe

PY - 2019/1/30

Y1 - 2019/1/30

N2 - This paper presents a vector fitting (VF) algorithm-based grey-box structure and controller parameters identification method for grid-connected inverter. Terminal frequency responses of inverter are first measured by frequency scanning method. Then, mathematical representation of these impedance frequency responses are fitted in a form of polynomial transfer function by using VF algorithm. Finally, the theoretical terminal impedance formulas of possible control structures are compared with the fitted transfer function. Simulation results show that the proposed method is able to identify internal controlstructure and system parameters when internal parameters are unknown due to industrial secrecy or are perturbated due to variation of operation points, temperature and aging impact.

AB - This paper presents a vector fitting (VF) algorithm-based grey-box structure and controller parameters identification method for grid-connected inverter. Terminal frequency responses of inverter are first measured by frequency scanning method. Then, mathematical representation of these impedance frequency responses are fitted in a form of polynomial transfer function by using VF algorithm. Finally, the theoretical terminal impedance formulas of possible control structures are compared with the fitted transfer function. Simulation results show that the proposed method is able to identify internal controlstructure and system parameters when internal parameters are unknown due to industrial secrecy or are perturbated due to variation of operation points, temperature and aging impact.

M3 - Article in proceeding

BT - 10th International Conference on Power Electronics - ECCE Asia

ER -