| A new method for PQ disturbance detection and identification |
| |
| 作者姓名： | References： |
| |
| 作者单位： | Dept.of Information Science and Engineering Zhejiang Normal University，Dept.of Electrical Engineering，Shanghai Jiaotong University，Shanghai 200030，China，Dept.of Electrical Engineering，Shanghai Jiaotong University，Dept.of Electrical Engineering，Shanghai Jiaotong University，Dept.of Electrical Engineering，Shanghai Jiaotong University，Jinhua 321004，China，Shanghai 200030，China，Shanghai 200030，China，Shanghai 200030，China |
| |
| 摘 要： | A new method based on phase-shift and N-1 Support Vector Machines(SVMs)is presented for power quality(PQ)disturbance detection and identification.Through phase-shift and simple algebra operation,the method detects out the PQ disturbances easily and effectively.Then a data dealing process is carried out to extract features from the detecting outputs.Then SVM theory is introduced into the identification of PQ disturbances.N kinds of PQ disturbances are classified with an N-1 SVMs classifier.The testing results show that the proposed method can detect and classify the PQ disturbances successfully.Moreover,the classifier has a good performance on training speed and correct ratio.
|
| 关 键 词： | 相变 支持向量机 检测 识别 PQ扰动 功率 |
| 文章编号： | 1005-9113（2007）03-0392-06 |
| 修稿时间： | 2004-01-12 |
A new method for PQ disturbance detection and identification |
| |
| LV Gan-yun,CHENG Hao-zhong,DING Yi-feng,ZHAI Hai-bao.A new method for PQ disturbance detection and identification[J].Journal of Harbin Institute of Technology,2007,14(3):392-397. |
| |
| Authors: | LV Gan-yun CHENG Hao-zhong DING Yi-feng ZHAI Hai-bao |
| |
| Abstract: | A new method based on phase-shift and N-1 Support Vector Machines(SVMs)is presented for power quality(PQ)disturbance detection and identification.Through phase-shift and simple algebra operation,the method detects out the PQ disturbances easily and effectively.Then a data dealing process is carried out to extract features from the detecting outputs.Then SVM theory is introduced into the identification of PQ disturbances.N kinds of PQ disturbances are classified with an N-1 SVMs classifier.The testing results show that the proposed method can detect and classify the PQ disturbances successfully.Moreover,the classifier has a good performance on training speed and correct ratio. |
| |
| Keywords: | PQ disturbances phase-shift SVMs classifier identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
