Decision dependent uncertainty modelling methodology for renewable-dominant power systems

In renewable-dominant power systems, renewable energy sources such as wind power and photovoltaics become the main contributors to electric power and power generation. Due to the wind and solar resources across different time and spatial contexts, as well as the different types of load response resources, their uncertainties differ significantly. Compared to traditional power systems, renewable-dominant power systems not only experience a notable increase in uncertainty on the power supply side, but also exhibit significant changes in the characteristics of uncertainty on both supply and demand sides. Focusing on the uncertainty on both supply and demand sides of renewable-dominant power systems, this paper finds the decision dependent uncertainty on both supply and demand sides, reveals the mechanism of the decision dependent uncertainty on both supply and demand sides, puts forward a quantitative characterization method of the decision dependent uncertainty by using mathematical modelling method and joint probability distribution theory, and realizes the optimal solution. According to the example simulation results, the proposed method and constructed model can effectively quantify and characterize the decision dependent uncertainty on both supply and demand sides of renewable-dominant power systems. Moreover, the computational results show a high degree of agreement with actual conditions, thereby validating the rationality and correctness of the research methods employed.