Complementarity Model of a Photovoltaic Power Electronic System With Model Predictive Control

• Published in: IEEE transactions on circuits and systems. I, Regular papers Vol. 66; no. 11; pp. 4402 - 4414
• Main Authors: Morfin-Magana, Rodrigo, Rico-Melgoza, J. Jesus, Ornelas-Tellez, Fernando, Vasca, Francesco
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: complementarity model; Dynamic models; Energy conversion; Integrated circuit modeling; Inverters; Irradiance; Maximum power tracking; Modulation; Modulators; Photovoltaic cells; Photovoltaic systems; Power converters; Power system modeling; Predictive control; Predictive models; Pulse duration; pulse width modulation converters; Subsystems; Switches; Synchronism
• ISSN: 1549-8328; 1558-0806
• DOI: 10.1109/TCSI.2019.2923978

The modeling and control problem for a grid-connected photovoltaic (PV) power electronic system, which includes a dc/dc boost converter, an inverter and a filter are considered. A linear complementarity (LC) dynamic model of the PV system allows the design of a model predictive controller (MPC). Dynamic models of the subsystems are obtained and merged in order to represent the whole PV system in a compact and comprehensive LC model, which is valid for all operating modes of power converters and PV cells involved in the energy conversion process. A finite-control-set MPC problem is formulated as a mixed-integer quadratic program subject to the dynamic LC model and pulse width modulators. The minimization of an objective function aimed at tracking dc voltage and grid current references provides directly the commands for the switches of the boost converter and inverter. Numerical results show the effectiveness of the proposed strategy for maximum power point tracking and synchronization to the grid under dynamic scenarios characterized by variations of the solar irradiance.