In the context of the large-scale renewable energy integrated into power system

the power balance equation with uncertain variables of prediction error is established considering the influence of renewable energy output uncertainty on the power balance equation in the intraday rolling dispatching model of the power system. In order to solve the power balance equation with uncertain variables

the equation constraint of power balance equation is transformed into the objective function to maximize the probability of occurrence of random events

and the dependent chance programming is established. Considering the uncertainty of renewable energy output

the robustness and economy of the scheme

the chance-constrained model of the system spinning reserve capacity is established. In order to improve the efficiency of solving the stochastic optimization dispatching model

a deterministic transformation method of chance-constrained conditions based on sampling is proposed

in which the chance-constrained conditions with multiple random variables are equivalently deterministically transformed

and then the goal programming is introduced to transform the multi-objective optimization model into a single-objective optimization model. Finally

an example is discussed to demonstrate the effectiveness of the proposed model.