Model Predictive Control of Seven-Level Single-Phase Boost Inverter without weighting factor for Grid-Tied Photovoltaic Applications

Khan, MNH; Siwakoti, YP; Li, L; Khan, SA; Blaabjerg, F

Model Predictive Control of Seven-Level Single-Phase Boost Inverter without weighting factor for Grid-Tied Photovoltaic Applications

Khan, MNH Siwakoti, YP Li, L

Khan, SA Blaabjerg, F

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 2020, 2020-March, pp. 3238-3243
Issue Date:: 2020-06-25

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Field	Value	Language
dc.contributor.author	Khan, MNH
dc.contributor.author	Siwakoti, YP
dc.contributor.author	Li, L https://orcid.org/0000-0001-8485-2216
dc.contributor.author	Khan, SA
dc.contributor.author	Blaabjerg, F
dc.date	2020-03-15
dc.date.accessioned	2021-05-21T03:26:29Z
dc.date.available	2021-05-21T03:26:29Z
dc.date.issued	2020-06-25
dc.identifier.citation	2020 IEEE Applied Power Electronics Conference and Exposition (APEC), 2020, 2020-March, pp. 3238-3243
dc.identifier.isbn	978-1-7281-4830-4
dc.identifier.issn	1048-2334
dc.identifier.uri	http://hdl.handle.net/10453/149039
dc.description.abstract	This paper presents a switched-capacitor integrated 7-level boost inverter for single-phase photovoltaic (PV) applications and its associated control scheme. It consists of three switched capacitors and eleven active switching elements. A boost converter at the front side helps to maintain the capacitor voltage balance during the operation modes. This topology does not require any control scheme to balance the switched capacitors at the DC-bus due to its inherent voltage balancing capability. Thus, it reduces the control complexity. The proposed structure has the capability to integrate low and varying voltage sources such as PV and consequently, reduces the number of components, required input voltage, and control complexity. Finite control set model predictive control (FCS-MPC) algorithm is used to control the proposed inverter. Thermal analysis of the proposed topology is presented for loss calculation of each power devices. Finally, detailed analysis followed by simulation and measurement results is presented at the end.
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE Applied Power Electronics Conference and Exposition (APEC)
dc.relation.ispartof	IEEE Applied Power Electronics Conference and Exposition
dc.relation.ispartofseries	Annual IEEE Applied Power Electronics Conference and Exposition (APEC)
dc.relation.isbasedon	10.1109/apec39645.2020.9124559
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Model Predictive Control of Seven-Level Single-Phase Boost Inverter without weighting factor for Grid-Tied Photovoltaic Applications
dc.type	Conference Proceeding
utslib.citation.volume	2020-March
utslib.location.activity	New Orleans, LA, USA
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2021-05-21T03:26:27Z
pubs.finish-date	2020-03-19
pubs.publication-status	Published
pubs.start-date	2020-03-15
pubs.volume	2020-March

Abstract:

This paper presents a switched-capacitor integrated 7-level boost inverter for single-phase photovoltaic (PV) applications and its associated control scheme. It consists of three switched capacitors and eleven active switching elements. A boost converter at the front side helps to maintain the capacitor voltage balance during the operation modes. This topology does not require any control scheme to balance the switched capacitors at the DC-bus due to its inherent voltage balancing capability. Thus, it reduces the control complexity. The proposed structure has the capability to integrate low and varying voltage sources such as PV and consequently, reduces the number of components, required input voltage, and control complexity. Finite control set model predictive control (FCS-MPC) algorithm is used to control the proposed inverter. Thermal analysis of the proposed topology is presented for loss calculation of each power devices. Finally, detailed analysis followed by simulation and measurement results is presented at the end.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/149039