神经网络用于两电站间切机协调控制决策

NEURAL NETWORK BASED COORDINATING DECISION OF GENERATOR SHEDDING REQUIREMENTS BETWEEN TWO POWER PLANTS

提出了一种应用单隐层前馈神经网络决定多机电力系统中两电站间暂态稳定切机协调控制规律的方法．所选神经网络的输入量与输出量间呈近似连续映射关系，从而保证了神经网络结构的合理性．新英格兰１０机３９节点试例系统的仿真结果表明了文中方法的有效性．

The single hidden layer feedforward neural network applied to the coordinating decision of generator shedding requirements between two power plants for transient stability augmentation in multi machine power systems is proposed. The rationality of the proposed neural network structure is guaranteed by the approximately continuous mapping of the selected inputs to outputs. The results of the New England test system demonstrate the effectiveness of the proposed method.