Solar hydrogen system configuration using genetic algorithms

Abstract EN

For standalone power supply systems based on solar hydrogen technology to work of efficiently , the photovoltaic generator and electrolyses stack have to be configured so that they produce she needed amount or hydrogen in order for the fuel cell to produce sufficient power to operate the load.

units paper discusses how genetic algorithm> were applied to optimize the design of the photovoltaic generator and electron year combination by searching for the best configuration in terms of number of parallel and series many modules, number of electrolyses cells, and cell surface area.

first polarization characteristics of (lie electrolyses was developed.

the models parameters, w ere obtained by fitting the mathematical models to experimntal data.

a genetic algorithm code was then developed.

the code is based on the pv and electrolyser models as an evaluation measure for the fitness of the solutions generated.

results are presented confirming the effectiveness of using the gentile algorithm technique for solar hydrogen system configuration.