A fault location method based on genetic algorithm for high-voltage direct current transmission line

摘要

A fault location method based on genetic algorithm for high-voltage direct current (HVDC) transmissionnline is proposed in this article. This method adopts the Bergeron model of transmission line, in which thenvoltage at any point of the line can be calculated by the voltage and current data sampled at both terminalsnof the line, and the fault position can be identified using the distributed characteristics of voltage along thenline. Unlike the traditional fault location methods based on the Bergeron model, which depend on accuratenline parameters and highly synchronized samples at two terminals of the line, the proposed method takesnline parameters and asynchronous time at two terminals of the line together with the unknown fault locationnas the variables in model building to obtain the fault location. As an optimization problem, the model isnsolved by genetic algorithm. The significant advantage of the method is that it can reduce the influencenof line parameter deviation and asynchronous samples at two terminals to the fault location result. The purposenof proposing this method is to avoid the situation without location result for the traveling wave faultnlocation method when a grounding fault occurred with high resistance and to improve the accuracy of faultnlocation result under harsh environment condition. The simulation model of a typical 500 kV HVDC transmissionnline in the Chinese power system was built by PSCAD, and MATLAB was used to verify the algorithm.nActual fault recording data obtained from the south grid of China were used to test the effectivenessnof this method. Simulation results show that the proposed method is valid and is capable of eliminating theninfluence of line parameters deviation and asynchronous data on the accuracy of fault location results for thenHVDC transmission line. Copyright © 2012 John Wiley & Sons, Ltd.