In order to improve the deterioration of the adaptability index after the increase of the proportion of wind power integration, improve the adaptability of the power grid to high proportion of wind power, and coordinate the economics of the system operation strategy, a multi-objective transmission network structure optimization model considering adaptability and economy is established in this paper. The clustering algorithm is used to construct multi-scene method to process the massive data generated by source-load fluctuation, and the multi-objective model is solved by the weighted minimum modulus ideal point method based on particle swarm optimization. Based on the analysis of the characteristics of high-scale wind power grid-connection, the adaptive index including consumption, economy, fluctuation and fault is proposed. The example results show that the multi-objective transmission network structure optimization method improves the adaptability of the original system to high proportion of wind power access.
