A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation
文献类型：会议论文
| 作者 | Shen L(沈力)1; Shen, Yang1; Song CH(宋纯贺)2 ; Li, Zhao1; Ran, Ran1; Zeng P(曾鹏)2
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| 出版日期 | 2019 |
| 会议日期 | July 26-28, 2019 |
| 会议地点 | New York city, NY, United states |
| 页码 | 499-508 |
| 英文摘要 | Identification of anomaly data is very important for power system state estimation. In this paper, a method of power system anomaly data identification based on neural network and affine propagation is proposed. In this first step, a 3-layer neural network is trained as a predictor using normal data. In the second step, data to be detected is preprocessed using the trained neural network, and predicted residuals are obtained. In the third step, these predicted residuals are clustered using the affine propagation clustering algorithm, and in the final step, anomaly data is identified based on the clustering results. As the neural network training process is easy to fall into local minimum, which reduces the prediction accuracy of the neural network, in this paper a novel chaotic particle swarm optimization algorithm is proposed to train the neural network. From the experimental results it can be seen that, compared with previous anomaly data identification method using the BP neural network and the gap statistic algorithm or the K-mean clustering algorithm, the proposed method can effectively improve the accuracy of anomaly data identification. |
| 产权排序 | 2 |
| 会议录 | Artificial Intelligence and Security - 5th International Conference, ICAIS 2019, Proceedings
 |
| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Berlin |
| 语种 | 英语 |
| ISSN号 | 0302-9743 |
| ISBN号 | 978-3-030-24264-0 |
| 源URL | [http://ir.sia.cn/handle/173321/25393]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Song CH(宋纯贺) |
| 作者单位 | 1.State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China; 2.Shenyang Institute of automation, Chinese Academy of Sciences, Shenyang 110016, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Shen L,Shen, Yang,Song CH,et al. A Novel Power System Anomaly Data Identification Method Based on Neural Network and Affine Propagation[C]. 见:. New York city, NY, United states. July 26-28, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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