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Conference Paper: Model predictive control of parallel distributed generation inverters in smart microgrids

TitleModel predictive control of parallel distributed generation inverters in smart microgrids
Authors
Keywordsalternate calculation
FS-MPC
state space model
Issue Date2016
Citation
2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, 2016, p. 3414-3418 How to Cite?
AbstractIn this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.
Persistent Identifierhttp://hdl.handle.net/10722/336689

 

DC FieldValueLanguage
dc.contributor.authorLi, Kerui-
dc.contributor.authorHu, Jiefeng-
dc.contributor.authorChen, Manxin-
dc.date.accessioned2024-02-29T06:55:50Z-
dc.date.available2024-02-29T06:55:50Z-
dc.date.issued2016-
dc.identifier.citation2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016, 2016, p. 3414-3418-
dc.identifier.urihttp://hdl.handle.net/10722/336689-
dc.description.abstractIn this paper, the parallel-connected three-phase voltage source inverter system is modeled and a state space model is obtained. A control algorithm based on finite control set model predictive control (FS-MPC) is proposed. It is applied to the distributed generation (DG) inverters that are able to provide high power quality, load current sharing and plug-n-play operation in microgrids. In this algorithm, the control objectives (voltage tracking and current sharing) are integrated into a weighted cost function. To reduce the computational burden, an alternate calculation scheme is adopted. Analysis and testing results verify the effectiveness and show the advantages of the proposed algorithm.-
dc.languageeng-
dc.relation.ispartof2016 IEEE 8th International Power Electronics and Motion Control Conference, IPEMC-ECCE Asia 2016-
dc.subjectalternate calculation-
dc.subjectFS-MPC-
dc.subjectstate space model-
dc.titleModel predictive control of parallel distributed generation inverters in smart microgrids-
dc.typeConference_Paper-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/IPEMC.2016.7512843-
dc.identifier.scopuseid_2-s2.0-84983283143-
dc.identifier.spage3414-
dc.identifier.epage3418-

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