In order to improve the ship power system brittleness analysis and simplified calculation steps,and improve the ship power system brittleness calculation speed,is proposed based on artificial neural network (ANN) load cutting model,because the model is not online calculation of ship power system fault flow calculation and load cut calculation.To illustrate based on artificial neural network load cut the accuracy of model,and introduced based on dc the trend of the linear programming model of ship power system calculation brittleness.Use of this two kinds of brittle evaluation model of warship power system for example respectively brittleness of calculation verified the based on artificial neural network (ANN) load cutting model of the feasibility and effectiveness.%为提高船舶电力系统脆性分析和简化计算步骤,以及提高船舶电力系统脆性计算速度,提出基于人工神经网络(ANN)负荷削减模型,该模型不需要在线计算船舶电力系统中的故障潮流计算和负荷削减计算.为说明基于人工神经网络负荷削减模型的精确性,又引入了基于直流潮流的线性规划模型,对船舶电力系统进行脆性计算.利用这2种脆性评估模型对实例中的船舶电力系统脆性分别进行计算,验证了基于人工神经网络(ANN)负荷削减模型的可行性和有效性.
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