摘要
提出了基于人工神经元网络 (ANN)的预想事故无功电压预测的方法 .此方法以潮流计算所得的数据为训练样本 ,经过筛选及预处理后 ,在不同的负荷条件下及不同的系统拓扑结构下对 ANN进行训练 ,建立了可在预想事故下进行电压预测的 ANN网络模型 .在 Ward & Hale 6节点系统上仿真计算结果证明 ,该方法能够满足在线安全分析对精度和速度的要求 .
A new method using ANN for contigency reactive power voltage prediction is proposed. The training set is composed of the result of load flow computation at different topologies, and the ANN model for contigency voltage prediction is established. The results applied to Ward & Hale 6 nodes system proves that the ANN model can work quickly and accurately.
关键词
安全调度
电力网络分析
电压分布计算
Security dispatching(electrical power systems)
Electric network analysis
Voltage distribution computation
