The growing attention on renewable energy has already brought a rapid evolution in this field. As one of the most abundant energy on this planet, the solar energy starts to play an important role in the energy market. Various policies have already been proposed to encourage the renewable energy development. With the PV panels involved in the system, consumers can sell the extra energy from the PV panels' generation back to the grid, which makes them become prosumers. However, the PV panels generation cannot perfectly match the load peak, therefore, different power management methods are proposed to better schedule the power flow inside the grid-connected PV system. On the other hand, different tariff structures could also lead to the different energy bill. The prosumers also want to better allocate their load profiles to better suit for the tariff policies. Therefore, to find a suitable combination of power management method and electricity tariff are interested by prosumers.

This thesis aims at finding a suitable combination of power management method and electricity tariff for the prosumers based on the final energy bill. Four different power management methods are proposed to schedule the power flow inside the grid-connected PV system. The power flow data are simulated together with different tariff structures to calculate the final energy bill. A new method to generate the real-time electricity buy-in price is introduced, and four new feed-in tariff structures are designed with different compensation policies. Together with the power flow scheduled by power management methods, the final energy bill is calculated.

It is concluded that at least one of newly designed tariff structures can give a better or almost the same performance when compared with the existed tariff structures, and based on the final energy bill, a suitable combination of power management method and electricity tariff for prosumers can be found for the target countries/region.