Benefit evaluation system and method for direct-current power distribution network of infrastructure network access

The invention relates to the field of intelligent evaluation, and particularly discloses a direct-current power distribution network benefit evaluation system for infrastructure network access and a method of the direct-current power distribution network benefit evaluation system. According to the method, a neural network model based on deep learning is adopted to mine time sequence cooperation difference association feature information of use cost and utility values of a plurality of infrastructures in a time dimension when the plurality of infrastructures are accessed to the DC power distribution network, so that the network access benefits of the plurality of infrastructures accessed to the DC power distribution network are accurately evaluated. Therefore, the full-life-cycle comprehensive benefit quantification of direct-current power grid resources participated by multiple subjects is realized. 本申请涉及智能评估领域，其具体地公开了一种基础设施入网的直流配电网效益评估系统及其方法，其通过采用基于深度学习的神经网络模型挖掘出多个基础设施在接入直流配电网下的使用成本和效用值在时间维度上的时序协同差异性关联特征信息，以