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.
Mixed-integer quadratic program for predictive control of a grid-connected power converter
Vasca F.;
2019-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
