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Predictive Optimal Switching Sequence Direct Power Control for Grid-Tied 3L-NPC Converters

Andrés Mora, Roberto Cárdenas, Ricardo P. Aguilera, Alejandro Angulo, Pablo Lezana, Dylan Dah‐Chuan Lu

2020IEEE Transactions on Industrial Electronics43 citationsDOI

Abstract

A model predictive control (MPC) strategy based on optimal switching sequence concepts is presented for direct power control of grid-connected three-level neutral-point clamped converters. The proposed control strategy explicitly considers the modulator in its formulation along with the model of the system. Through two well-formulated optimal control problems, the proposed strategy is shown to optimally achieve control of the average trajectory of the active and reactive powers as well as the dc-link capacitor voltages without using weighting factors to tradeoff both control targets. Experimental results demonstrate this strategy produces improved steady-state performance with a well-defined output voltage spectrum and fixed-switching frequency while maintaining the inherent fast dynamic responses of MPC strategies.

Topics & Concepts

Control theory (sociology)ConvertersModel predictive controlWeightingOptimal controlTrajectoryAC powerCapacitorVoltageGridSequence (biology)Power (physics)Power controlComputer scienceControl (management)EngineeringMathematicsMathematical optimizationElectrical engineeringPhysicsQuantum mechanicsMedicineArtificial intelligenceBiologyAstronomyRadiologyGeneticsGeometryMultilevel Inverters and ConvertersMicrogrid Control and OptimizationAdvanced DC-DC Converters
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