Mixed-Integer Quadratic Program for Predictive Control of a Grid-Connected Power Converter

Rodrigo Morfín-Magaña1, J. Jesús Rico-Melgoza1, Fernando Ornelas-Tellez1, Francesco Vasca2, David Cortes Vega3

  • 1Universidad Michoacana de San Nicolás de Hidalgo
  • 2University of Sannio
  • 3Universidad Michoacana de San Nicolas de Hidalgo



Regular Session


09:10 - 10:30 | Wed 16 Oct | Pacífico | W3-1

Power systems

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Model predictive control has demonstrated to be an efficient control technique for power electronic systems. In this paper the linear complementarity modeling framework is used for the model predictive control design of a DC-DC boost converter cascaded with a single-phase inverter, a topology usually adopted in microgrids. A linear complementarity model valid for all operating modes of the converter is derived. A mixed-integer quadratic program is formulated for the design of the predictive controller constrained to the dynamic model and implementing a pulse width modulation. Numerical results show the effectiveness of the proposed solution.

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