Abstract: With the rapid increase of the installed capacity of new energy and the proportion of power generation, the installed capacity of traditional thermal power units has been greatly reduced. It is urgent to incorporate the load side into scheduling optimization to shift the randomness and volatility of new energy output. Therefore, this paper proposes a high-proportion new energy power system scheduling model considering customer directrix demand response. First, a high-proportion new energy output uncertainty scenario set is constructed considering the extreme output and climb of new energy output. Secondly, according to the load structure characteristics of each node, the difference in node load response capacity is described, and the regularization term is added to constrain the shape of the directrix. A nodal customer directrix model considering load response capacity is proposed on this basis. Thirdly, the linear demand response is introduced into day-ahead scheduling, and the two-stage scheduling optimization model of a high-proportion new energy power system is established. Finally, an example analysis of the IEEE-30 node system shows that the proposed scheduling method can effectively suppress the uncertainty of new energy and enhance the new energy consumption capacity and reliable power supply capacity of a high-proportion new energy power system.