LIU Yu-gen1, TIAN Zi1, QIAN Guo-chao2, et al. Research of Fault Diagnosis of Grounding Grid Corrosion Based on Genetic Algorithm[J]. High voltageapparatus, 2013, 49(7): 18-24.
LIU Yu-gen1, TIAN Zi1, QIAN Guo-chao2, et al. Research of Fault Diagnosis of Grounding Grid Corrosion Based on Genetic Algorithm[J]. High voltageapparatus, 2013, 49(7): 18-24. DOI: 10.13296/j.1001-1609.hva.2013.07.007.
Research of Fault Diagnosis of Grounding Grid Corrosion Based on Genetic Algorithm
In order to position and judge the corrosion condition of grounding gird accurately
genetic algorithm was applied to fault diagnosis of grounding gird corrosion.There are two kinds of train of thought in real fault diagnosis of grounding gird corrosion
voltage method and resistance method.This paper established two fitness functions according to these two kinds of train of thought respectively and corresponding MATLAB programs were compiled.Technology of multilayer reducing dimension was used to optimize programs in order to solve the problems that branch variable dimension number is large and convergence rate is slow in late iterative procedure.Finally we took a grounding gird with 60 branches
36 nodes as an example to test and comprise the effect on fault diagnose of voltage method and resistance method.Simulation experimental results showed that after five layer genetic algorithm iteration
both misdiagnosis rate and missed diagnosis rate of these two methods were 0.Diagnosis result of resistance method was slightly better than voltage method
but its computation time was higher than voltage method.