ABSTRACT
In this paper, a load profile management procedure is proposed and evaluated by the bi-objective design optimization of a Stand-Alone Photovoltaic (SAPV) system with battery storage. Load shifting and amplitude modulation are applied on the load profile shape for different rates of Loss of Load Probability (LLP) referring to consumers’ preferences. The Life Cycle Cost (LCC) and the Loss of Power Supply Probability (LPSP) are the optimization objectives presenting the economic criterion and system reliability evaluation criterion. The bi-objective optimization using the genetic algorithm (GA) aims computing the optimal combination of PV panels and batteries subject to the constraints related to the battery bank State of Charge (SOC). The energetic modeling of the system’s components enabling energy flows simulation is presented. Results showed the significant effect of the load profile management on the system design. Furthermore, the optimal solution choice depends on consumers’ preferences regarding the system’s economic and reliability aspects.
