Low-Carbon Optimal Scheduling of Multi-Energy Systems with Flexible Loads Considering Wind and Load Uncertainty

A low-carbon optimal scheduling model is proposed in this paper to solve the source-load uncertainty problem. The multi-energy system is constructed based on the wind-solar output and integrated demand response. Firstly, considering the characteristics of the flexible load on the demand side, a Latin hypercube sampling method is used to generate and reduce the scene, and the wind and scenery output uncertainty model is constructed to capture its fluctuation characteristics. Secondly, in order to minimize the total operation and environment cost of the system, the optimization scheduling model of the source-network-load integrated multi-energy system is established. Two scheduling sequence scenarios are proposed to analyze the effects on the system performance. Finally, the simulation shows that different scheduling sequences play an important role in the optimization of low carbonization, economy and flexibility of the system with the participation of wind-solar output uncertainty and flexible load.