Computationally Efficient Predictive Control of Photovoltaic Central NPC Inverter with Constant Switching Frequency

Alexander Dahlmann, Venkata Yaramasu, Samir Kouro, Matias Aguirre

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes a computationally efficient modulated model predictive current control method for a three-phase neutral-point clamped (NPC) central inverter in the photovoltaic energy system. The proposed control method calculates the optimal sector number based on grid voltages, grid currents and maximum power point tracking and uses a subset of voltage vectors to reduce the number of calculations significantly, reducing the computational burden. The subset of voltage vectors are used to predict the future behavior of grid currents and DC-link capacitor voltages. A triangular-region based cost function chooses three optimal voltage vectors for a seven-segment switching method. The proposed control method provides low steady-state errors, fast transient response and a constant switching frequency. An 817 kW photovoltaic energy system is simulated to validate the proposed control method under transient and steady-state conditions.

Original languageEnglish (US)
Title of host publication2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350399882
DOIs
StatePublished - 2022
Externally publishedYes
Event7th IEEE Southern Power Electronics Conference, SPEC 2022 - Nadi, Fiji
Duration: Dec 5 2022Dec 8 2022

Publication series

Name2022 IEEE 7th Southern Power Electronics Conference, SPEC 2022

Conference

Conference7th IEEE Southern Power Electronics Conference, SPEC 2022
Country/TerritoryFiji
CityNadi
Period12/5/2212/8/22

Keywords

  • DC/AC power conversion
  • constant switching frequency
  • current control
  • modulated model predictive control
  • optimal sector

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

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