Day-ahead Scheduling Model for Power Systems with a High Proportion of Renewable Energy

As the proportion of renewable energy in the power system continues to increase, the problems of abandoning wind and photovoltaics and peaking have become more prominent. Therefore, this paper establishes a day-ahead scheduling model for future power systems. First, this paper establishes a wind-photovoltaic-hydropower-thermal power-energy storage joint optimization model, and the proportion of thermal power installed capacity is less than 40%. Second, this paper converts the power of abandoning wind and photovoltaic and the number of start-stops of thermal power units into costs to make the objective function more streamlined. Third, this paper introduces a carbon treatment fee to make the model more suitable for the future electricity market. Fourth, this paper adopts Pareto optimal frontier for dual-objective optimization, which realizes the combination of subjective and objective. Finally, the model proposed in this paper has achieved the expected purpose through the verification of the example.