A multi-objective optimization design tool for Smart Converters in photovoltaic applications

During last decade new scenarios are emerging in the energetic context. Photovoltaic systems role has expanded since they are not only employed in residential/industrial plants, but they also appear promising solutions in DC micro-grids and Net Zero Energy Buildings. In fact, Smart Converters can improve photovoltaic generators productivity and they can also contribute to energy and data flows control. The mentioned scenarios require performant Smart Converters able to assure high efficiency and reliability levels. The design of such converters is a challenging task since many and conflicting requirements have to be considered. A dedicated tool can represent a useful design support for optima Smart Converters realization. The proposed software is developed by a modular architecture on the base of the specific energetic scenario considered and the relative specifications and constraints. This paper focuses on the implementation concepts and fundamental phases of the developed tool depicting the applied approach. A Graphical User Interface allows the selection of Smart Converter topologies and input/output operating data depending on the specific applicative context. An evolutionary optimization algorithm identifies feasible electronic device in commercial databases and suitable subroutines run adequate circuital equations to evaluate reliability indices and thermal stresses which the converter devices are subjected in real operating conditions. The optimization process provides a set of nondominated performant solutions able to satisfy all the design requirements. The developed tool is realized by means of MathWorks MATLAB environment able to manage the issue complexity and to generate stand-alone software.