<p>The parsing of smart substation configuration files is frequently hindered by data inconsistency and redundant data interference, necessitating inefficient iterative comparison processes. This paper presents an improved parsing method that employs regular expressions to describe smart substation configuration file information. A multi-branch tree structure serves as the equipment monitoring information point table for the intelligent substation, with an associated multi-branch index library being established. For the configuration file information that conforms to the regular expression rules, it is directly matched with the known information in the multi-branch index library; for the configuration file information that does not conform to the regular expression rules, the common attributes of configuration file information are extracted from the multi-branch index database, and a dictionary table is established. Combined with the improved forward maximum matching algorithm, word segmentation matches the configuration file information reported in real time. The matching results of configuration file information conforming and non-conforming to the regular expression are compared and analyzed, and the similarity is calculated. If it reaches or exceeds the set similarity threshold, the matching is successful, and the result is stored in the matching success database as the analysis of the smart substation configuration files. Experimental results demonstrate that the proposed method effectively derives regular expressions for smart substation profile information and reliably processes configuration files to obtain accurate parsing outcomes.</p>