The modern optimization algorithms in the application of grounding grid fault diagnosis

With the development of power system, scale of grounding grid is continuously expanding,thus fault diagnosis of grounding grid becoming more complex. The traditional optimization algorithms a in grounding grid diagnosis gradually appears boundedness, while the advantage of modern optimization algorithms is gradually prominent. Nowadays, a lot of methods of grounding grid fault diagnosis based on modern optimization algorithms have appeared. In this paper, genetic algorithm and particle swarm optimization applied in grounding grid fault diagnosis are introduced and compared with the traditional optimization.