Optimal Scheduling of Integrated Energy System Considering Hydro-Wind-Solar Correlation

The optimization of integrated energy system (IES) is gradually becoming the development direction of future power systems. However, uncertainties have a significant impact on system optimization, and the correlation between different uncertainties increases the difficulty of optimization under such conditions. Studying the correlation between uncertainties is crucial for optimal scheduling. Therefore, this paper primarily utilizes vine copula theory to investigate the correlation between runoff, wind (WT) output, and photovoltaic (PV) output, and analyzes the impact of the correlation on the optimization results. Case studies show that considering the correlation between runoff, WT output, and PV output can increase the overall power generation efficiency of the IES.