FMM Testing and Improved SVM Diagnostic Verification Technology for Intelligent Substation Protection

To address the problems of complex testing, long construction period, and insufficient diagnostic testing results for numerous secondary devices in smart substations, this paper introduces the forward maximum matching (FMM) algorithm to achieve automatic protection testing, and improves the support vector machines (SVM) model based on the frog leaping algorithm (FLA) to complete the verification and diagnosis of test results. For the protection configuration and information relationship of intelligent stations, propose an architecture for protecting automatic testing and diagnosis systems; By analyzing different protection principles and the relationship between applied voltage/current and setpoints, establish protection testing requirements, construct a set of testing templates, compare similarity using hash and edit distance algorithms, and FMM algorithm was used to achieve automatic testing of the device under test. The effectiveness of the proposed technology was verified through case analysis and engineering examples.