Multiobjective optimisation of hybrid wind-PV-battery-fuel cell-electrolyser-diesel systems: An integrated configuration-size formulation approach

A generic integrated configuration-size optimisation formulation for design of hybrid renewable energy systems (HRES) is presented in this paper. This allows identifying the optimum configuration a given site and size each component that by solving only one problem. Single multiobjective case studies are defined both on-grid standalone using wind turbine, PV panel, battery bank, fuel cell, electrolyser diesel generator as potential components. To solve problems genetic algorithm (GA) nondominated sorting GA (NSGA-II) developed, which reproduction operators designed carefully robust exploration exploitation at levels. Eight single variety resources, objectives constraints conducted. The results show versatility problem defining different HRES robustness developed NSGA-II search within space levels finding simultaneously.