Optimized Scheduling Strategy for Power Grids Considering Complementary Characteristics of Renewable Energy Forecast Errors

The rapid expansion of renewable energy has introduced significant challenges to maintaining power grid balance due to the inherent intermittency and forecast errors of renewable generation. These uncertainties increase reserve capacity requirements in grid operations. However, studies show that the aggregate forecast errors of multiple renewable power plants are smaller than the sum of absolute values of individual errors-a phenomenon known as the complementary characteristics of forecast errors. Leveraging this property, this paper develops an optimized grid scheduling strategy to enhance system efficiency. First, we analyze how forecasts errors of different renewable sources mutually offset, reducing overall forecast errors. Next, we introduce a reduced reserve constraint and formulate a corresponding optimization model for power system scheduling. Experimental validation demonstrates that the proposed strategy improves renewable energy accommodation while achieving an optimal balance between robustness and economic efficiency.