Research On Fault Location In Small Current Grounding Based On Improved Genetic Algorithm

With the high-speed development of our country economy, all kinds of household appliances has entered countless families, which resulted in increased demand for electricity consumption gradually and the requirements improved for stability of the power supply. A lot of important enterprises, such as banks and hospitals can’t be outages.Therefore, the power supply departments not only should guarantee normal operation of the power grid, but also confirm the fault location and recovery the power supply after the fault occurred. Nowadays our country distribution network structure is complex, and the fault location method has its characteristic which subject to practical application. So how to locate failure position, reduce troubleshooting time and reduce losses caused by outage quickly is an urgent problem to solve.Based around the small current grounding fault generated transient information characteristics between the genetic algorithm to do the further research, optimization method of improved genetic algorithm is proposed for small current grounding fault location. First, the Hilbert-Huang Transform method is applied on the zero sequence transient current signal’s reconstruction, the amplitude and direction of transient signal characteristics which is obtained by the Empirical Mode Decomposition are contrast more apparent, which prepared for coding by genetic algorithm. Second, process of selection, crossover and mutation of genetic algorithm are improved which can improve the efficiency of the algorithm, get the global optimal solution and shorten the time of troubleshooting. According to the feature of the fault point zero sequence current and voltage phase are difference for coding by genetic algorithm, using the improved genetic algorithm to determine the location. Finally, the effectiveness of this method is proved by Matlab, the simulation results show that the improved genetic algorithm for small current grounding fault section location is accurate and can improve the operation efficiency and shorten time for searching the faults.