DocumentCode
43883
Title
Predictive Optimal Switching Sequence Direct Power Control for Grid-Connected Power Converters
Author
Vazquez, Sergio ; Marquez, Abraham ; Aguilera, Ricardo ; Quevedo, Daniel ; Leon, Jose I. ; Franquelo, Leopoldo G.
Author_Institution
Dept. of Electron. Eng., Univ. de Sevilla, Sevilla, Spain
Volume
62
Issue
4
fYear
2015
fDate
Apr-15
Firstpage
2010
Lastpage
2020
Abstract
Grid-connected power converters play a key role in several applications such as the integration of renewable energy sources and motor drives. For this reason, the development of high performance control strategies for this particular class of power converters has increasingly attracted the interest of both academic and industry researchers. This paper presents the predictive optimal switching sequence (OSS) direct power control (DPC) (OSS-DPC) algorithm for grid-connected converters. The OSS-DPC method belongs to the predictive-DPC family and provides the desired power references by calculating globally OSSs. To address computational and implementation issues, an efficient control algorithm, named reduced OSS-DPC, is introduced. The implementation of the proposed control strategy in a standard DSP is evaluated on a two-level power converter prototype working as a STATCOM. Experimental results show the algorithm´s potential to provide high performance during both transient and steady states.
Keywords
digital signal processing chips; power control; power convertors; power grids; power system transients; static VAr compensators; OSS-DPC; STATCOM; direct power control; efficient control algorithm; grid connected power converters; motor drives; power references; predictive optimal switching sequence; renewable energy sources; standard DSP; steady state; transient state; Cost function; Inverters; Power control; Reactive power; Switches; Vectors; Voltage control; AC???DC converters; model predictive control; power converters; power electronics; smartgrid;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/TIE.2014.2351378
Filename
6882818
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