Abstract:In order to effectively deal with the fluctuations caused by large-scale wind power and photovoltaic power grid connection, and ensure the safe and stable operation of the power grid, this study constructs a comprehensive complementary power generation system through in-depth analysis of the complementary characteristics of wind power generation, photovoltaic power generation, hydraulic power generation and pumped storage. On this basis, two optimal scheduling models are proposed for various power constraints in the system: one is to minimize the fluctuations of complementary systems, and the other is to minimize the equivalent load fluctuations of thermal power units. To solve these two Optimization models, an improved Adaptive Weight Optimization Algorithm (ADWOA) was used. The effectiveness of the algorithm in the two models is verified by simulation experiments, and the results show that the two optimal scheduling models can effectively track the optimization target, and significantly reduce the influence caused by wind and photovoltaic power generation, so as to enhance the operational stability of the power grid.