Protection information substation test case generation method and system based on genetic algorithm

• Main Authors: TIAN XIAOYING, GAO XIANG, HOU CHANGPING
• Format: Patent
• Language: Chinese; English
• Published: 29.03.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS

The invention relates to the technical field of intelligent substation protection information substations, and provides a protection information substation test case generation method and system based on a genetic algorithm, and the method comprises the steps: enumerating all state sequence scripts from an SCD according to an automatic script state sequence model; dividing the state sequence script into M parts according to protection types; taking the state sequence script as an initial population; calculating the self-adaption degree values of all state sequence scripts; arranging the scripts of the self-adaption values according to a sequence from large to small; taking out a half state sequence script with a higher self-adaption degree value by using a bisection method; combining the M optimized state sequence scripts to obtain a final state sequence script; and generating a test case according to the final state sequence script, and performing automatic testing according to the cooperation of the test ca