Consensus-based distributed model predictive control applied to modular multilevel converters

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review


Modular multilevel converters (MMCs) have the potential to improve the performance of high- and medium-power applications, such as renewable energy generation and fast charging stations. The functioning of MMCs relies on their ability to balance capacitor voltages across all modules. Motivated by the capacitor voltage balancing (CVB) problem, this paper studies consensus-based distributed model predictive control (DMPC) schemes. As a result, we propose an alternative cost function that enables output synchronization of linear systems and, consequently, solves the CVB problem. The advantages of the proposed method are demonstrated by proving its stability properties and comparing its computational time and performance with existing DMPCs. Simulation results for a benchmark multi-agent system example from the literature and an MMC AC/DC topology demonstrate the effectiveness of the developed consensus DMPC
Originele taal-2Engels
Titel 2023 IEEE Conference on Control Technology and Applications (CCTA)
UitgeverijInstitute of Electrical and Electronics Engineers
Aantal pagina's6
ISBN van elektronische versie9798350335446
StatusGepubliceerd - 22 sep. 2023


This research was funded by the NEON (New Energy and Mobility Outlook for the Netherlands) Crossover NWO (Dutch Research Council) Grant, project number 17628.

Nederlandse Organisatie voor Wetenschappelijk Onderzoek17628


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