Rapid socio-economic development has also brought about problems such as resource depletion and ecological and environmental pollution. Electricity is the most important form of energy supply for human beings, and its production and use are undergoing fundamental changes. This thesis conducts an in-depth study on the source-load interaction scheduling method in new energy power grids., which realizes a safe, economical, low-carbon and environmentally friendly intelligent scheduling mode through two-way interaction between the demand side and the grid. Firstly, the virtual power plant management mode of demand-side resources is studied to achieve new energy consumption through price-based demand response. Second, a safety-constrained unit model for source-load interaction is established. Then, the fuzzy opportunity scheduling model and solution method of the new energy power system under the source-load interaction scheduling mode are studied. Finally, the wide-area source-load interaction scheduling problem under the conservation of energy and reduction of emissions environment is studied, the conservation of energy and reduction scheduling model is proposed and a demand-side standby bidding and scheduling model under the future carbon emission trading is designed.