Optimization of “wind, solar, thermal, and storage” double-layer allocation for multi-energy complementary new energy bases

<p indent="0mm">To cope with the problems of insufficient regulating capacity, high uncertainty, and a mismatch between transmission channels and power supply construction in the current new energy base, this paper constructs a two-layer configuration optimization model for the new energy base based on the complementary characteristics of wind power, photovoltaic power, thermal power, energy storage, and other forms of energy. The upper layer focuses on capacity allocation optimization for various energy types, while the lower layer performs intra-day economic operation optimization based on the capacity allocation results. The model accounts for multi-energy complementarity capacity optimization and uncertainty factors in wind power generation to further enhance the system’s reliability, flexibility, and economy. Simulation results demonstrate that compared with traditional methods, the model strengthens the capability to address uncertainties, significantly reduces wind and solar curtailment, achieves supply-demand balance, and improves renewable energy utilization. This study aims to effectively enhance the overall performance of multi-energy complementary large base systems and provide a reference for the construction and optimization strategies of large-scale clean energy bases.