The invention discloses an automobile charging facility optimization
layout method fusing multi-
source data, and relates to the technical field of
new energy automobile infrastructure planning, a three-dimensional
decision model including the type, position and capacity of a charging facility is constructed, an initial scheme is generated based on a scene
adaptation evaluation function, and a three-dimensional
decision model is established; the method has the advantages that multi-
source data such as
geographic space, traffic demands,
power grid parameters and policy constraints are fused and preprocessed, six types of core scenes such as residential areas and office areas are accurately divided, multi-
source data such as the
power grid parameters and the policy constraints are subjected to multi-source data fusion and preprocessing, and multi-source data such as the
power grid parameters and the power grid parameters and the policy constraints are subjected to multi-source data fusion and pre-
processing; according to the method, the joint decision of the type, the position and the capacity of the charging facilities is realized based on the scene
adaptation evaluation function, and the user flow, energy flow and cost flow triple constraint
verification is applied at the same time, so that the defects that the
layout of the charging facilities is split and collaborative optimization of multiple types of facilities is not realized in the prior art are overcome, and the mismatching of the charging resources in the same area is avoided.