节点文献
基于小波和GA-BP网络的小电流接地选线方法
Method of Fault Line Selection in Small Current Neutral Grounding System Based on Wavelet Analysis and GA-BP NN
【摘要】 目前配电网普遍采用中性点不直接接地的方式(又称小电流系统),配电网中单相接地仍是主要的故障形式,准确可靠的选线问题仍未得到有效解决.采用小波分析和遗传优化神经网络相结合的方法实现接地故障选线.Matlab仿真结果表明,该方法能够实现准确可靠的选线.
【Abstract】 The neutral of distribution network is usually non-direct grounding at present(small current system).In distribution network,phase to ground fault is the primary fault.Selecting the fault line truly and reliably is still a difficult problem.A method of combining Wavelet and GA-BP neural network(NN) is utilized to select the faulty line.The Matlab simulation verifies the effectiveness of the proposed method.
【关键词】 故障选线;
小波分析;
模极大值;
神经网络;
遗传算法;
【Key words】 fault line selection; wavelet analysis; modulus maximum; neural network; genetic algorithm;
【Key words】 fault line selection; wavelet analysis; modulus maximum; neural network; genetic algorithm;
- 【文献出处】 上海电力学院学报 ,Journal of Shanghai University of Electric Power , 编辑部邮箱 ,2011年06期
- 【分类号】TM862
- 【被引频次】2
- 【下载频次】77