The penetration of photovoltaic power generation combined with energy storage system in the residential sector can help to balance the electrical power grid. However, the system initial costs are expensive. The photovoltaic/energy storage system configuration must maximize the system usage and reduce the power grid dependency. This paper presents an advanced controller that uses the potential photovoltaic production and the demand profiles to define an optimal configuration for photovoltaic/energy storage system in a group of households using a genetic algorithm as the optimization method. The results highlight a number of operational and economic benefits of using the proposed operational strategy.
['Rodrigo Martins', 'Petr Musilek']
Optimization of photovoltaic power self-consumption using genetic algorithm