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The main basement of fault diagnose in power system is estimate the fault location by making use of the informations from the actions of circuit breakers and protective relays, and find out the fault elements is the main job, which also is difficult, describe the question as a target function, then turn the fault diagnose to a 0-1 integer programming model. This kind of question is easy to solve by intelligent algorithm。Particle optimization algorithm approach converge is fast when solving the problem, but it’s easy to fall into local optimum。Glowworm swarm optimization algorithm can find out the best value while it’s a little slower than particle optimization algorithm. The paper make full use of the two algorithm’s advantages, combine them and lead them in power system fault diagnose. the simulation results prove that the new idea is successfully, it has a high approach converge and can find out the best value while precise and stability.