The Sand-Table Deduction of Wind Power Feed-In Tariff Policy Optimization Under the CPSSE Framework

The long-term evolution of new energy power generation capacity in the physical dimension is affected by social factors such as new energy policies and investment behavior of power generation companies (GENCOs). Under the guidance of the Cyber-Physical-Social System in Energy (CPSSE) framework of energy, a hybrid simulation model that can simulate the dynamic interaction between wind power feed-in tariff policies, investment behaviors of GENCOs and long-term evolution pathways of new energy power generation capacity is established, and a sand-table deduction of feed-in tariff policy optimization is carried out using wind power as an example. A feed-in tariff policy optimization method based on the idea of “feedback” is realized, in which the feed-in tariff policy adjustment target is set to make up for the gap between the actual development pathway and the planned pathway of new energy, using the information of new energy power generation cost and GENCOs investment behavior. The results of sand-table deduction verify the effectiveness of the proposed method.