Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy
This paper presents techniques of maximum power point tracking (MPPT) implemented with finite step model predictive control (FSMPC) for the application of Z-source inverter. Incremental conductance MPPT algorithm and FSMPC model is developed to control the output current of the grid-tied Z-source in...
Saved in:
Main Authors: | , , |
---|---|
Other Authors: | |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/102000 http://hdl.handle.net/10220/12714 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-102000 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1020002020-03-07T13:24:51Z Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy Loh, Andrew Poh Chiang Frede, Blaabjerg Wei, Mo School of Electrical and Electronic Engineering IEEE Conference on Industrial Electronics and Applications (7th : 2012 : Singapore) DRNTU::Engineering::Electrical and electronic engineering This paper presents techniques of maximum power point tracking (MPPT) implemented with finite step model predictive control (FSMPC) for the application of Z-source inverter. Incremental conductance MPPT algorithm and FSMPC model is developed to control the output current of the grid-tied Z-source inverter in order to extract maximum solar power from the panel and then directly injecting the power into grid. The output current, passive component voltage and current are well regulated with proposed MPPT based FSMPC control strategy. Simulation of this proposed control algorithm is conducted in Matlab platform with PLECS toolbox. Both steady-state and transient results show that the high efficient and robust response of the proposed control technique. 2013-08-01T02:33:29Z 2019-12-06T20:48:12Z 2013-08-01T02:33:29Z 2019-12-06T20:48:12Z 2011 2011 Conference Paper https://hdl.handle.net/10356/102000 http://hdl.handle.net/10220/12714 10.1109/ICIEA.2012.6360965 en |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Loh, Andrew Poh Chiang Frede, Blaabjerg Wei, Mo Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
description |
This paper presents techniques of maximum power point tracking (MPPT) implemented with finite step model predictive control (FSMPC) for the application of Z-source inverter. Incremental conductance MPPT algorithm and FSMPC model is developed to control the output current of the grid-tied Z-source inverter in order to extract maximum solar power from the panel and then directly injecting the power into grid. The output current, passive component voltage and current are well regulated with proposed MPPT based FSMPC control strategy. Simulation of this proposed control algorithm is conducted in Matlab platform with PLECS toolbox. Both steady-state and transient results show that the high efficient and robust response of the proposed control technique. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Loh, Andrew Poh Chiang Frede, Blaabjerg Wei, Mo |
format |
Conference or Workshop Item |
author |
Loh, Andrew Poh Chiang Frede, Blaabjerg Wei, Mo |
author_sort |
Loh, Andrew Poh Chiang |
title |
Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
title_short |
Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
title_full |
Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
title_fullStr |
Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
title_full_unstemmed |
Maximum power point tracking technique implementation of Z-source inverter through finite step model predictive control strategy |
title_sort |
maximum power point tracking technique implementation of z-source inverter through finite step model predictive control strategy |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/102000 http://hdl.handle.net/10220/12714 |
_version_ |
1681035054570012672 |