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Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods

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Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods. / Messo, Tuomas; Roinila, Tomi; Aapro, Aapo; Rasilo, Paavo.

2018 IFAC Symposium on System Identification. 2018. s. 449-454 (IFAC-PapersOnLine; Vuosikerta 51, Nro 15).

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Harvard

Messo, T, Roinila, T, Aapro, A & Rasilo, P 2018, Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods. julkaisussa 2018 IFAC Symposium on System Identification. IFAC-PapersOnLine, Nro 15, Vuosikerta. 51, Sivut 449-454, 9/07/18. https://doi.org/10.1016/j.ifacol.2018.09.186

APA

Messo, T., Roinila, T., Aapro, A., & Rasilo, P. (2018). Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods. teoksessa 2018 IFAC Symposium on System Identification (Sivut 449-454). (IFAC-PapersOnLine; Vuosikerta 51, Nro 15). https://doi.org/10.1016/j.ifacol.2018.09.186

Vancouver

Messo T, Roinila T, Aapro A, Rasilo P. Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods. julkaisussa 2018 IFAC Symposium on System Identification. 2018. s. 449-454. (IFAC-PapersOnLine; 15). https://doi.org/10.1016/j.ifacol.2018.09.186

Author

Messo, Tuomas ; Roinila, Tomi ; Aapro, Aapo ; Rasilo, Paavo. / Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods. 2018 IFAC Symposium on System Identification. 2018. Sivut 449-454 (IFAC-PapersOnLine; 15).

Bibtex - Lataa

@inproceedings{eb2355b62ace476aa5234e9ee8f84152,
title = "Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods",
abstract = "Power electronic inverters are devices that are used to interface renewables, such as photovoltaic panels or wind turbines, with the electrical distribution system. The inverter should control its output current to follow a sinusoidal reference to avoid distorting the voltage waveform of the power system. However, in real inverters dead-time is used in the control signals which causes harmonics in inverter output current, thus, creating undesired power quality problems. The amount of distortion is difficult to predict due to nonlinear nature of the deadtime. Moreover, the harmonic distortion depends on many variables, such as control parameters of the inverter and impedance of the power system. This paper shows that the frequency response from inverter control signal (duty ratio) to grid current can be used to evaluate the effect of dead time on power quality. The frequency response is identified by perturbing the inverter control signal with a maximum length binary sequence (MLBS). The MLBS employs several advantageous properties, such ease of digital implementation and low peak factor. The magnitude of the identified frequency response is shown to follow the same trend as the amount of current distortion. The magnitude is affected by the power system and control parameters, which is in line with the observations made based on time-domain waveforms. Therefore, the effect of dead-time on power quality could potentially be modeled using a linearized model.",
author = "Tuomas Messo and Tomi Roinila and Aapo Aapro and Paavo Rasilo",
year = "2018",
doi = "10.1016/j.ifacol.2018.09.186",
language = "English",
series = "IFAC-PapersOnLine",
number = "15",
pages = "449--454",
booktitle = "2018 IFAC Symposium on System Identification",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Evaluation of Dead-Time Effect of Grid-Connected Inverters Using Broadband Methods

AU - Messo, Tuomas

AU - Roinila, Tomi

AU - Aapro, Aapo

AU - Rasilo, Paavo

PY - 2018

Y1 - 2018

N2 - Power electronic inverters are devices that are used to interface renewables, such as photovoltaic panels or wind turbines, with the electrical distribution system. The inverter should control its output current to follow a sinusoidal reference to avoid distorting the voltage waveform of the power system. However, in real inverters dead-time is used in the control signals which causes harmonics in inverter output current, thus, creating undesired power quality problems. The amount of distortion is difficult to predict due to nonlinear nature of the deadtime. Moreover, the harmonic distortion depends on many variables, such as control parameters of the inverter and impedance of the power system. This paper shows that the frequency response from inverter control signal (duty ratio) to grid current can be used to evaluate the effect of dead time on power quality. The frequency response is identified by perturbing the inverter control signal with a maximum length binary sequence (MLBS). The MLBS employs several advantageous properties, such ease of digital implementation and low peak factor. The magnitude of the identified frequency response is shown to follow the same trend as the amount of current distortion. The magnitude is affected by the power system and control parameters, which is in line with the observations made based on time-domain waveforms. Therefore, the effect of dead-time on power quality could potentially be modeled using a linearized model.

AB - Power electronic inverters are devices that are used to interface renewables, such as photovoltaic panels or wind turbines, with the electrical distribution system. The inverter should control its output current to follow a sinusoidal reference to avoid distorting the voltage waveform of the power system. However, in real inverters dead-time is used in the control signals which causes harmonics in inverter output current, thus, creating undesired power quality problems. The amount of distortion is difficult to predict due to nonlinear nature of the deadtime. Moreover, the harmonic distortion depends on many variables, such as control parameters of the inverter and impedance of the power system. This paper shows that the frequency response from inverter control signal (duty ratio) to grid current can be used to evaluate the effect of dead time on power quality. The frequency response is identified by perturbing the inverter control signal with a maximum length binary sequence (MLBS). The MLBS employs several advantageous properties, such ease of digital implementation and low peak factor. The magnitude of the identified frequency response is shown to follow the same trend as the amount of current distortion. The magnitude is affected by the power system and control parameters, which is in line with the observations made based on time-domain waveforms. Therefore, the effect of dead-time on power quality could potentially be modeled using a linearized model.

U2 - 10.1016/j.ifacol.2018.09.186

DO - 10.1016/j.ifacol.2018.09.186

M3 - Conference contribution

T3 - IFAC-PapersOnLine

SP - 449

EP - 454

BT - 2018 IFAC Symposium on System Identification

ER -