Different DC-Link Control Methods with Multilevel Inverter for Low Harmonic and Efficient Power Transfer in Grid-Tied Hydrogen Fuel Cell Systems

Ünal Yılmaz

Makale detayları

Different DC-Link Control Methods with Multilevel Inverter for Low Harmonic and Efficient Power Transfer in Grid-Tied Hydrogen Fuel Cell Systems

Yazarlar:

Ünal Yılmaz

Yayıncı:

Dicle University

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.14 Issue 2, pp.289-304

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291731

pISSN:

1309-8640

Anahtar kelimeler:

Özet:

 In grid-connected power generation systems, dc-link voltage control is needed to prevent energy losses, reduce voltage fluctuations and provide a stable energy flow. In addition, control of the power factor via the voltage source inverter is a process that supports the efficient use of the energy produced. Moreover, keeping the total harmonic distortion THD of the current injected into the grid in accordance with IEEE-519 harmonic standards 5, will increase the quality of the grid electrical current. In this study, three different methods cascade pi-based, adaptive neuro fuzzy and artificial neural networks methods were proposed for dc-link control. In addition, due to its high power factor and low harmonic distortion performance, a three-level neutral point clamped NPC inverter is modeled for grid-tied proton-exchange membrane fuel cells PEMFC. The rated power of the proposed system is 50 kW and the system was tested under five different operation scenarios. According to the performance results, the THD in the grid current has been reduced from 10.58 to 3.52 compared to traditional methods, dc-link voltage ripple was observed to be around 1V 1, and also the power factor regulation performance increased as unity 0.99.

 In grid-connected power generation systems, dc-link voltage control is needed to prevent energy losses, reduce voltage fluctuations and provide a stable energy flow. In addition, control of the power factor via the voltage source inverter is a process that supports the efficient use of the energy produced. Moreover, keeping the total harmonic distortion THD of the current injected into the grid in accordance with IEEE-519 harmonic standards 5, will increase the quality of the grid electrical current. In this study, three different methods cascade pi-based, adaptive neuro fuzzy and artificial neural networks methods were proposed for dc-link control. In addition, due to its high power factor and low harmonic distortion performance, a three-level neutral point clamped NPC inverter is modeled for grid-tied proton-exchange membrane fuel cells PEMFC. The rated power of the proposed system is 50 kW and the system was tested under five different operation scenarios. According to the performance results, the THD in the grid current has been reduced from 10.58 to 3.52 compared to traditional methods, dc-link voltage ripple was observed to be around 1V 1, and also the power factor regulation performance increased as unity 0.99.

 In grid-connected power generation systems, dc-link voltage control is needed to prevent energy losses, reduce voltage fluctuations and provide a stable energy flow. In addition, control of the power factor via the voltage source inverter is a process that supports the efficient use of the energy produced. Moreover, keeping the total harmonic distortion THD of the current injected into the grid in accordance with IEEE-519 harmonic standards 5, will increase the quality of the grid electrical current. In this study, three different methods cascade pi-based, adaptive neuro fuzzy and artificial neural networks methods were proposed for dc-link control. In addition, due to its high power factor and low harmonic distortion performance, a three-level neutral point clamped NPC inverter is modeled for grid-tied proton-exchange membrane fuel cells PEMFC. The rated power of the proposed system is 50 kW and the system was tested under five different operation scenarios. According to the performance results, the THD in the grid current has been reduced from 10.58 to 3.52 compared to traditional methods, dc-link voltage ripple was observed to be around 1V 1, and also the power factor regulation performance increased as unity 0.99.

 In grid-connected power generation systems, dc-link voltage control is needed to prevent energy losses, reduce voltage fluctuations and provide a stable energy flow. In addition, control of the power factor via the voltage source inverter is a process that supports the efficient use of the energy produced. Moreover, keeping the total harmonic distortion THD of the current injected into the grid in accordance with IEEE-519 harmonic standards 5, will increase the quality of the grid electrical current. In this study, three different methods cascade pi-based, adaptive neuro fuzzy and artificial neural networks methods were proposed for dc-link control. In addition, due to its high power factor and low harmonic distortion performance, a three-level neutral point clamped NPC inverter is modeled for grid-tied proton-exchange membrane fuel cells PEMFC. The rated power of the proposed system is 50 kW and the system was tested under five different operation scenarios. According to the performance results, the THD in the grid current has been reduced from 8.02 to 3.52 compared to traditional methods, dc-link voltage ripple was observed to be around 1V 1, and also the power factor regulation performance increased as unity 0.99.

Makale detayları

Different DC-Link Control Methods with Multilevel Inverter for Low Harmonic and Efficient Power Transfer in Grid-Tied Hydrogen Fuel Cell Systems

Yazarlar:

Ünal Yılmaz

Yayıncı:

Dicle University

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.14 Issue 2, pp.289-304

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291731

pISSN:

1309-8640

Multilevel Inverter

DC-Link Control

Grid-Tied Systems

PEMFCPEMFC

DC-Link Control

Multilevel Inverter

Grid-Tied Systems

Sayı

Makale detayları

Yazarlar: Ünal Yılmaz

Yayıncı: Dicle University

Dergi: Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.14 Issue 2, pp.289-304

Belge Tipi: Makale

Yayın Tarihi: 6/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001291731

pISSN: 1309-8640

Sayı

Yazarlar:

Ünal Yılmaz

Yayıncı:

Dicle University

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.14 Issue 2, pp.289-304

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001291731

pISSN:

1309-8640