The conventional energy utilization methods have been unable to solve the problem of high proportion of renewable energy grid connection. To solve this problem

the space-time complementary characteristics of multiple energy sources are used to coordinate and optimize the dispatch of wind

solar

water

thermal

pumped storage and high-load energy loads

and a multi-energy power system with source-load coordination and two-level scheduling model is established

which takes the minimal system operating costs

the maximal renewable energy consumption and the minimal net load fluctuations as the goal

and employs improved grasshopper optimization algorithm and particle swarm optimization algorithm to solve the upper and lower optimization scheduling models respectively. By comparing the calculation results of four scheduling scenarios

it is concluded that the proposed scheduling strategy can reduce the fluctuation of the system's net load

improve the level of renewable energy consumption and realize the economic operation of the system

which verifies the effectiveness of the above model and the improved algorithm.