Renewable energy integration is increasing – alongside it, the main limiting factors of such sourcesof energy have to be considered. Each source of energy comes with its unique sets of challenges,namely the way that the generation curves behave. These patterns should be considered, ifphotovoltaics can contribute at a larger rate to the grid. The current non-renewable sourcesprovide a high response rate and great control over voltage/frequency – key parameters of thegrid. Proper utilization of renewable energies is key to sustainable systems of the future.The work considers the possibility of regulating the energy flow through the usage of electricvehicles (EV). The thesis proposes a model within which particle swarm optimization is used toderive EV charging rates, which contribute to the overall performance of a controlled householdsystem. Three control strategies are considered – individual, bottom-up and top-down control.The methodologies are introduced and compared in the study.Top-down control proves to be the most stable and most efficient at reducing energy mismatchwhen compared to other control strategies. It should however be underlined that any controlstrategy proposed in the study leads to a greater utilization of renewable energy and can greatlybenefit any system with EVs and PV energy present.