|Table of Contents|

 Finite states model predictive control for grid-connectedinverter of clean energy power generation(PDF)

[ISSN:1007-449X/CN:23-1 408/TM]

Issue:
2018年04
Page:
89-97
Research Field:
Publishing date:

Info

Title:
 Finite states model predictive control for grid-connectedinverter of clean energy power generation
Author(s):
 JIN Nan1 GUO Lei-lei1 DOU Zhi-feng1 ZHANG Yang2 HAN Dong-xu1
 ( 1. School of Electric and Information Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China;2. School of Electric Power,
North China University of Water Resources and Electrical Power,Zhengzhou 450045,China)
Keywords:
 clean energy power generation finite states model prediction coordinated control delaycompensation switching frequency reduction
PACS:
TM464
DOI:
10.15938/j.emc.2018.04.012
Abstract:
 In order to reduce the switching frequency and avoid delay problems caused by the algorithmexecution,a model predictive coordinated control( MPCC) strategy is designed. When sampling frequencyis high,the delay problem of MPDPC algorithm implementation will influence the output power quality andincrease output power ripple. Based on direct power prediction model,a two-step power prediction wasdesigned to compensate time delay. In order to realize coordinated control,an optimized cost function wasdesigned by adding target additions and analyzing the influence of the cost function on the control quality.The 5 k W experimental prototype of grid connected inverter was designed. The comparisons of the experi-mental results show that the MPCC strategy can decrease power ripple and reduce switching frequency,which validates the effectiveness of the proposed plan.

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Last Update: 2018-07-01