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Model Predictive Direct Power Control of Grid-connected Converters Considering Unbalanced Filter Inductance and Grid Conditions

  • Weichen Yang
  • , Shihong Miao*
  • , Zhiwei Liu
  • , Ji Han
  • , Yulong Xiong
  • , Qingyu Tu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The grid-connected converter (GCC) is widely used as the interface between various distributed generations and the utility grid. To achieve precise power control for GCC, this paper presents a model predictive direct power control (MPDPC) with consideration of the unbalanced filter inductance and grid conditions. First, the characteristics of GCC with unbalanced filter inductance are analyzed and a modified voltage control function is derived. On this basis, to compensate for the power oscillation caused by unbalanced filter inductance, a novel power compensation method is proposed for MPDPC to eliminate the DC-side current ripple while maintaining sinusoidal grid current. Besides, to improve the control robustness against mismatched filter inductance, a filter inductance identification scheme is proposed. Through this scheme, the estimated value of filter inductance is updated in each control period and applied in the proposed MPDPC. Finally, simulation results in PSCAD/EMTDC confirm the validity of the proposed MPDPC and the filter inductance identification scheme.

Original languageEnglish
Pages (from-to)1279-1288
Number of pages10
JournalJournal of Modern Power Systems and Clean Energy
Volume9
Issue number6
DOIs
StatePublished - 1 Nov 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Inductance identification
  • grid-connected converter
  • model predictive control
  • power oscillation elimination
  • unbalanced grid conditions

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