减碳目标下考虑区域灵活性互济的源网荷储双层规划模型OA

To fully tap into the flexibility demand among different regions of a provincial power grid and reduce the flexi-bility planning cost of source-grid-load-storage and the carbon emission cost of a system,a double-layer planning model of source-grid-load-storage considering regional flexibility mutual-assistance under an objective of carbon emission re-duction is established.First,based on the optimization theory,a regulation potential evaluation model of demand-side flexibility resources such as temperature-controlled load,electric vehicles,data centers and 5G base stations is con-structed.Then,with the objective of minimizing the grid planning cost and carbon emission cost as well as the consider-ation of grid operation constraints and regional flexibility mutual-assistance constraints,the source-grid-load-storage ca-pacity decision variables are integrated into the production simulation,a source-grid-load-storage collaborative plan-ning model considering the mutual-assistance of flexible resource partitions is built,and a linear transformation solution method is further proposed.Finally,the results of comparative analysis of an example show that the proposed method can effectively balance the flexibility between regions and reduce the carbon emission cost of the system.Experimental results show that the double-layer planning model constructed in this paper significantly enhances the system's flexibili-ty while reducing its carbon emissions and operating costs.