Model Predictive Control of Grid Connected Modular Multilevel Converter for Integration of Photovoltaic Power Systems

Amir Shahirinia, Amin Hajizadeh

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Investigation of an advanced control structure for integration of Photovoltaic Power Systems through Grid Connected-Modular Multilevel Converter (GC-MMC) is proposed in this paper. To achieve this goal, a non-linear model of MMC regarding considering of negative and positive sequence components has been presented. Then, due to existence of unbalance voltage faults in distribution grid, non-linarites and uncertainties in model, model predictive controller which is developed for GC-MMC. They are implemented based upon positive and negative components of voltage and current to mitigate the power quality problems. Finally, numerical results are given in order to show the dynamic performance of GC-MMC prototype under normal and unbalanced fault conditions. They illustrate the proposed current controllers are more effective under voltage disturbance conditions and it could keep the MMC stable under different conditions.
Original languageEnglish
Title of host publicationProceedings of the 44th IEEE Photovoltaic Specialists Conference
Number of pages4
PublisherIEEE Press
Publication dateJun 2017
ISBN (Print)978-1-5090-5606-4
ISBN (Electronic)978-1-5090-5605-7
Publication statusPublished - Jun 2017
Event44th IEEE Photovoltaic Specialists Conference - Marriott Wardman Park Hotel, Washington D.C, United States
Duration: 25 Jun 201730 Jun 2017
http://www.ieee-pvsc.org/PVSC44/

Conference

Conference44th IEEE Photovoltaic Specialists Conference
LocationMarriott Wardman Park Hotel
Country/TerritoryUnited States
CityWashington D.C
Period25/06/201730/06/2017
Internet address

Keywords

  • Modular Multilevel Converter
  • Photovoltaic
  • Power System
  • Model Predictive Control

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