Short-circuit current forecast application of big electrical network based on improved BP Artificial Neural Network combined with Genetic Algorithm

In recent years,with the rapid growth of power load and network expansion,the problem of short circuit currents has become significant for the planning and operation of the power system.This paper analyzes in detail the short-circuit current situation as well as the development tendency in our country,proposes a new algorithm to forecast the three-phase short circuit current on the basis of Genetic Algorithm and improved BP Artificial Neural Network Algorithm.Taking a wide range electrical network as an example,the three-phase short-circuit current computation based on load flow is implemented.To find some weak points of short-circuit current level,two algorithms are used to carry out short-circuit current level forecast for those weak points.The feasibility and validity of the method proposed are shown by the simulation and computation.The forecast results provide scientific basis for decision-making for the power sector in the planning and construction of power grids which need some measures to limit the short-circuit current in time.