In view of the source-load imbalance and the lack of new energy consumption capacity

cross-area grid interconnection with complementary time-space source/load distribution on both sending and receiving ends

a two-layer planning model of the grid interconnection channel in which the new energy consumption capacity and investment income are taken into consideration is proposed. Firstly

based on grey relational analysis and new energy consumption

a time-space matching rate model of the interconnected area is established. Secondly

technical and economic constraints are taken into consideration

and a two-layer planning model for grid interconnection channel to enhance new energy consumption capacity is constructed. In which

the upper model aims at optimizing the capacity of new energy consumption

and it can realize the optimal combination of candidate interconnected areas through the matching of the time and space of the source and charge of the interconnected area; the lower mixed integer programming model uses the topology and capacity of the interconnected channel as the decision variables to invest optimal target of economic benefit

and it is used to realize the optimal selection of landing points and parameters of interconnected transmission lines. Finally

the improved hybrid genetic algorithm is used to solve the model. The research results show that the wind-load matching rate has reached 0.95 when using the proposed model

and the wind curtailment rate has reduced from 23% to 14%. The research verifies the effectiveness of the proposed method.