Capacitors Voltage Balancing in Neutral-Point Clamped Inverter Using Simplified Finite Set Model Predictive Control and Virtual Voltage Vectors

Saeed Lotfollahzadegan, S. Alireza Davari, Cristian Garcia, Jose Rodriguez

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

Abstract

In this paper a new method for balancing the capacitors voltage in Neutral-point diode clamped inverters (NPC) is proposed. The method is based on using virtual voltage vectors (VVV) instead of medium voltage vectors (MVV) and using redundant small voltage vectors (RSVV). The combination of the Deadbeat-model predictive control (DB-MPC) and sequential finite set-model predictive control (SFS-MPC) is presented and applied. Also, a new method is introduced to find the triangle where the reference voltage vector is located in the space vector diagram (SVD). In this balancing method, the reference voltage vector is obtained firstly due to the main controlling variable (load current). This is done based on the principle of the DB-MPC. Based on magnitude and phase of this reference voltage vector, the triangle where the reference vector is located, is defined. Then, the outline voltage vectors (real, virtual and redundant) of this triangles and the neutral point current are used to predict the capacitors voltage. These vectors are evaluated within the voltage based cost function and the optimum is applied to the NPC inverter. By using these methods, the controlling of two different variables (load current and capacitors voltage) is performed only by one cost function without weighting factor. The validity of these proposed methods is verified by the SIMULINK/MATLAB.

Original languageEnglish
Title of host publication2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158495
DOIs
Publication statusPublished - Feb 2020
Event11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020 - Tehran, Iran, Islamic Republic of
Duration: 4 Feb 20206 Feb 2020

Publication series

Name2020 11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020

Conference

Conference11th Power Electronics, Drive Systems, and Technologies Conference, PEDSTC 2020
CountryIran, Islamic Republic of
CityTehran
Period4/02/206/02/20

Keywords

  • cost function
  • deadbeat-model predictive control (DB-MPC)
  • sequential predictive control (SFS-MPC)
  • space vector diagram (SVD)
  • virtual voltage vector (VVV)
  • weighting factor

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Automotive Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Control and Optimization

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