Abstract:As traditional fossil energy continues to be depleted, new energy sources have garnered widespread attention in the power generation sector. However, due to constraints such as the uncertainty of renewable energy output, the uncontrollable nature of grid loads, and the cross-regional transmission of power grids, new energy often cannot be fully accommodated. Traditional analytical methods tend to be overly conservative, which is detrimental to enhancing the consumption capacity of new energy. Taking Guizhou Province as an example, this paper analyzes the consumption capacity of renewable energy in the power system based on the time-series operational simulation method. Firstly, it analyzes the distribution of new energy resources in Guizhou Province, their output characteristics, and their temporal and spatial distribution patterns, examining the fluctuation characteristics of wind power and photovoltaic power. Secondly, it adopts a time-series operational simulation to analyze the short-term operation of the system, establishes a time-series operational simulation model for new energy power systems, fully considers the randomness of new energy output caused by prediction errors, determines the operation mode of the system, and identifies the consumable range of new energy power, thereby quantifying the clean energy consumption capacity of the system. Finally, based on planning data regarding new energy output and load conditions in Guizhou Province, the paper conducts a case study to analyze and verify the proposed model.