Flexible Load Scheduling Model with User Response Uncertainty
Yuxiang Jin, Zengji Liu, Tengfei Zhang · 2023
The participation of demand-side resources in grid scheduling is one of the important ways to achieve wind power consumption. Demand-side resources mainly rely on flexible loads that can be dispatched. The uncertainty of user response behavior will have an important impact on grid scheduling. This paper proposes a flexible load scheduling model that takes into account the uncertainty of user response. Firstly, based on consumer psychology principles, a price-based demand response (DR) model is designed, and implement a mechanism that combines standard response and elastic response for incentivized demand response (DR) models. According to the above uncertainty analysis, the price-based and incentive-based DR, conventional units and wind power coordinated control model are established, finally solved based on fuzzy chance constraint programming theory and mixed integer programming methods. The simulation results show that the model can achieve peak shaving and valley filling, improve wind power consumption, and reduce grid scheduling costs when considering user response uncertainty.