Robust Multi-objective Optimization of a Photovoltaic System with Grid Connection

Photovoltaic panels are a way of providing electricity without altering natural resources. Due to its intermittent nature and to meet consumers demand, this energy has to be stored, for example by using batteries. In this work, an energy model for buildings with battery is developed based on electrical consumption and production data. This model takes into account the depth of discharge, state of charge and efficiency over a cycle of a lithium type battery. Three rule-based strategies are then described. This leads to our optimization problem. The optimization is applied on two time slots: one day (in order to explore rapidly the behavior of different algorithm strategies) and one week (for pseudo real-time simulation). Robust multi-objective optimization is performed in order to reduce the impact of consumption prediction errors.