Stabilization of Cascaded Power Converters Using Enhanced Model Predictive Control

Yi Zhu, Huiqing Wen*, Yong Yang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

Abstract

Due to the rapid development of renewable energy technologies, energy storage technologies have also been extensively investigated. Recently, cascaded power converters have gained great attention for developing energy storage systems. In this paper, the instability issue of voltage source converters driving constant power loads is investigated. Based on the Nyquist criterion, the instability can be explained in the impedance model. A few examples are given to illustrate this kind of instability. The key to avoiding instability is to decrease the output impedance of the source converter, which can be done by Model Predictive Control (MPC). An enhanced model predictive control with impedance compensation, is proposed in this paper to avoid instability. A DC system example and an AC system example are given to verify the proposed method.

Original languageEnglish
Title of host publication2024 6th International Conference on Power and Energy Technology, ICPET 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-51
Number of pages6
ISBN (Electronic)9798350375855
DOIs
Publication statusPublished - 2024
Event6th International Conference on Power and Energy Technology, ICPET 2024 - Beijing, China
Duration: 12 Jul 202415 Jul 2024

Publication series

Name2024 6th International Conference on Power and Energy Technology, ICPET 2024

Conference

Conference6th International Conference on Power and Energy Technology, ICPET 2024
Country/TerritoryChina
CityBeijing
Period12/07/2415/07/24

Keywords

  • Cascaded Power Converters
  • Disturbance Compensation
  • Model Predictive Control (MPC)
  • Small-Signal Instability

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