Regional-provincial coordination dispatch can maximize the complementarity of the energy resources

which is the key technology of the power balanced dispatch for the high-proportion renewable energy system. However

the provincial renewable energy prediction error distribution is wide and diverse. How to realize regional power balance with inter-provincial mutual power support is the key problem faced by the regional-provincial two-level coordinated dispatch in China. Based on the error distribution characteristics of the regional-provincial renewable energy prediction uncertainty

this paper adopts robust reserve constraints for the regional system and opportunistic reserve constraints for provincial systems. This paper proposes a two-level stochastic optimal scheduling model of regional-robustness-provincial-random- chance-constrained

and applies the interval bipartite iterative method to iteratively optimize the stochastic confidence of provincial system. The case study based on the actual renewable energy prediction shows that the proposed two-level coordination strategy can achieve the safe and economic dispatch of the regional-provincial system effectively

and realize the coordination of power supply adequacy and renewable energy consumption by reasonably optimizing the random confidence level of each provincial system. On the other hand

the accuracy and distribution type of renewable energy prediction will affect the dispatching decisions and random confidence of regional-provincial system. The two-level coordinated optimal dispatching technology and the stochastic confidence optimization method proposed in this paper can be used to guide the coordinated operation of regional and provincial power systems in China.