Abstract
To solve the problems of high peak shaving pressure, low energy utilization rate and poor economy of the multi-energy complementary system caused by the integration of wind and solar power into the grid, the research builds a two-layer optimization model of energy storage and routine power peak shaving based on the predicted output and load of wind and solar power on a typical day. The outer layer aims at the maximum annual net profit of the muit energy complementary system, and the inner layer aims at the lowest daily operating cost. The improved PSO and nonlinear programming are used to coordinate and solve the problem to determine the multi-energy complementary system’s intra-day peak-shaving scheduling method, which is reasonable and reasonable. Finally, an example of an actual power grid is analyzed, and the results show that the multi-energy complementary system after optimal configuration of energy storage can greatly raise the level of new energy consumption and has good economy.
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