A combination of Genetic Algorithm and BP Artificial Neural for short circuit current forecast

摘要

This paper presents a new algorithm based on integrating the use of genetic algorithm and BP artificial neural methods to forecast three-phase short circuit current, and analyses short-circuit current situation as well as the development tendency in China in detail. With a wide range electric network example the superiority of the proposed algorithm is demonstrated in comparison with the traditional method, and three-phase short-circuit current computation based on load flow is carried out. Two algorithms are employed to carry out short-circuit current level forecast so that weak points of short circuit current level could be found. This method can be used in basically unchanged circumstances of the grid structure to forecast short-circuit current level, thereby take efficient measures in time to limit short circuit currents. The feasibility and validity of the proposed method is shown by the simulation and computation.