Investigating the impact of consolidated supportive policy on the influence of home-based photovoltaic power plants

In recent years, increasing share of renewable technologies in energy supply basket lead to a change of viewpoint in power system planning and operation. The aim of “diffusion of innovation” models is to predict and simulate new technology adoptions by the members of society. Questions related to policy design and power system planning can be answered by utilizing diffusion of solar photovoltaic systems.
In this paper, the impact of combined politics (lending and feed in tariffs) has been simulated on the diffusion of the home-grown photovoltaic power plant. Factor decision making is modeled with regard to risk taking and budget and capacity constraints. The dynamics of the cost of building a photovoltaic power plant in the simulation process is considered using the technology learning model.
In order to evaluate the consolidation policy, various scenarios for loan and feed in tariffs payments have been investigated. The simulation results show that, in order to increase the diffusion of photovoltaic power plants in the medium term (the next five years), the use of financial incentives (lending) will be more effective. Therefore, in the medium term, lending policies will be more effective if government funding is limited. The results also show that the best diffusion in the middle (end of the fifth year) is for a scenario in which fixed tariffs and fixed loan amounts are given each year.
In general, the model presented in this paper can be used to assess the effectiveness of the consolidated support policy of the state. This model can determine the optimal allocation of resources between different financial incentives. It also provides optimal time dynamics for various incentives