The Research Of Fault Line Selection Of Small Current Grounding Based On Genetic Algorithm

In the indirectly grounding power system, a single fault line selection method has limitations. Some useful fault characteristics can't be fully utilized, which may lead to the fault or leakage of the line selection and has a low accuracy. A comprehensive analysis with the use of multiple fault characteristics was presented. With the fault characteristics of transient and steady-state conditions, the gene probability was calculated according to the different line selection methods. Through coding gene probability, the encoding to the genetic algorithm system was used for a integrated selection of the line. Through the selection, crossover and mutation of the genetic algorithm model, the optimal chromosome string was obtained and decoded to get the fault line. This method is validated by means of the establishment of the fault simulation system. The experimental results show that the line selection is in high accuracy.The method for indirectly grounding power system based on genetic algorithm is proposed, through system failure stable state of active power line selection method and reactive power line selection method, as well as transition condition parameter based wavelet route selection method, the algorithm obtains a reliable selection criterion of the indirectly grounding power system. The algorithm carries on the code with different route selection method's gene probability, it forms the initial population, through choice, overlapping, variation operation with the population gene, it obtains the most superior chromosome string, after decoding, the faulty line information is obtained. The algorithm is able to solve the single criterion of line selection methods existing in the low reliability, poor selectivity and low adaptability of grid structure problems immensely.