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| 基于人工神经网络和模式识别的配网故障恢复算法研究 | |
| 引用本文： | 张玉春,杨成峰,王文娟,李红全. 基于人工神经网络和模式识别的配网故障恢复算法研究[J]. 华中电力, 2007, 20(6): 1-4,7 |
| 作者姓名： | 张玉春 杨成峰 王文娟 李红全 |
| 作者单位： | 1. 国电南思系统控制有限公司,江苏,南京,211153 2. 东南大学电气工程学院,江苏,南京,210096 3. 郑州热电厂,河南,郑州,450003 4. 小浪底水力发电厂,河南,济源,454681 |
| 摘 要： | 研究了基于人工神经网络和模式识别的新方法以实现供电故障恢复,分析了ANN方法和模式识别方法中的训练和测试阶段涉及到的详细步骤.ANN算法适合于有效解决比较复杂的问题.通过实例配电系统证明了所研究的ANN算法的有效性,从算例结果可以得到结论:用ANN算法和模式识别方法可非常高效地获得合理的恢复方案. |
| 关 键 词： | 人工神经网络 模式识别 故障恢复 算法 工神经网络 模式识别 配网 故障恢复 算法研究 Method Pattern Recognition Artificial Neural Network Based Distribution Network Fault Restoration Study 恢复方案 结果 算例 有效性 配电系统 问题 比较 有效解决 |
| 文章编号： | 1006-6519（2007）06-0001-04 |
| 收稿时间： | 2007-06-29 |
| 修稿时间： | 2007-06-29 |
The Arithmetic Study of Fault Restoration in Distribution Network Based Artificial Neural Network and Pattern Recognition Method |
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| ZHANG Yu-chun,YANG Cheng-feng,WANG Wen-juan,LI Hong-quan. The Arithmetic Study of Fault Restoration in Distribution Network Based Artificial Neural Network and Pattern Recognition Method[J]. Central China Electric Power, 2007, 20(6): 1-4,7 | |
| Authors: | ZHANG Yu-chun YANG Cheng-feng WANG Wen-juan LI Hong-quan |
| Abstract: | Based on artificial neural network(ANN) and pattern recognition algorithm,a new method for fault restoration in distribution system is studied in this paper.Training and testing phase and detailed step for the method of ANN and pattern recognition is analyzed.The ANN arithmetic is suitable to solve complex problem more effectively.The validity of ANN arithmetic is well demonstrated by a actual distribution system.The analysis and experiment results prove that reasonable restoration solution can be obtained efficiently by ANN arithmetic and pattern recognition method. |
| Keywords: | artificial neural network pattern recognition fault restoration arithmetic |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |