Flexible Resource Cross-Regional Game Optimization and Scheduling under High Proportion of Renewable Energy

Flexibility can be achieved between different regional power grids, enabling regions with a high proportion of renewable energy to obtain flexible resources from other regions, thereby ensuring the safe and flexible operation of the power grid. Based on this, this paper proposes a cross-regional optimal scheduling method for multivariate flexible resources considering a master-slave game. Firstly, the flexible supply capacity of wind and solar energy, along with the flexibility adjustment demand of renewable energy, is quantitatively analyzed. A multi-agent optimization model for the upper-level region is constructed with the goal of minimizing the net income of each operator and aggregator. Secondly, the flexibility and mutual aid capability of the tie-line are analyzed, and an optimal dispatching model for the lower-level multi-regional power grid is developed with the objective of minimizing the operating cost of each regional power grid. This model engages in a master-slave game with the upper-level model. Finally, three interconnected IEEE-39 node systems are established for case analysis. The results demonstrate that the proposed double-layer optimal scheduling model based on the master-slave game can effectively reduce the system's operating costs and enhance the overall flexibility and mutual aid level of the power grid.