Direct State-Space Model for Model Predictive Control of Multi-Level Power Converters

Samuel Jupin (1) , Ionel Vechiu (1) , Gerardo Tapia (2)

1 ESTIA INSTITUTE OF TECHNOLOGY
2 Systems Engineering & Automation Department

— With reliability and flexibility criteria surging, multi-level converters become of growing interest for high-power medium-voltage renewable energy applications. Specific objectives are met with specialized intelligent controls. The goal of this paper is to present a universal intelligent controller able to manage all degrees of freedom of multi-level power converters and any paradigm. To do so, a couple formed by a model and an appropriate optimizer is introduced, relying on state-space representation and Dijkstra algorithm. The obtained controller does not require modulation and could control any topology on any application under any constraints. In order to demonstrate the effectiveness of this controller, the operation of two multi-level converter topologies is investigated in simulation.

Mots clés: MPC; multi-level power converters; direct power control; neutral point clamped; flying capacitor; Dijsktra algorithm; branch and bound

Domaines: Electronique; Energie électrique; Automatique / Robotique

Samuel Jupin, Ionel Vechiu, Gerardo Tapia. Direct State-Space Model for Model Predictive Control of Multi-Level Power Converters. IECON 2017 : the 43rd Annual Conferenceof the IEEE Industrial Electronics Society , Oct 2017, Beijing, China. ⟨hal-01654810⟩