With the continuous development of demand response technology

the flexible loads of user side have shown more schedulable potential. Nevertheless

due to external factors such as user habits

model accuracy

and usage environment

most distributed loads reflect uncertainty

which generates difficulties to accurate load scheduling. Compared with the traditional box type uncertain set

the polyhedral uncertainty set introduces the load correlation coefficient when describing the sample uncertainty space

compressing the sample space uncertainty measure and improve the accuracy and economy of the optimization strategy. By analyzing the performance of the box type uncertainty set and the polyhedral uncertainty set under different correlation conditions

it is known that the load group scheduling optimization strategy model based on the polyhedral uncertainty set can reduce the scheduling cost

identify the high?quality response resources

and reflect the complementarity of negative correlation load.