首页> 外文会议> >A novel methodology for power transformer differential protection by incorporating artificial neural network

【24h】

A novel methodology for power transformer differential protection by incorporating artificial neural network

机译：结合人工神经网络的电力变压器差动保护新方法

获取原文

获取原文并翻译 | 示例

页面导航

摘要
著录项
相似文献
相关主题

摘要

The core task of the differential relay is to protect the power transformer under faulty condition and to exercise the restrain function in other operating conditions. This paper proposes a better protection scheme by incorporating ANN along with differential relay. The pattern classification property of ANN is exploited which distinguishes the various operating conditions occurring in the power transformer and gives the trip command when internal fault occurs. This scheme is superlative as it is least affected by the establishment of harmonics in the differential current. The model of this ANN based scheme comprises of one ANN structure using FFBP learning method. The learning data are obtained by simulation of a power system network having a transformer using MATLAB. The regression plot and performance plot clearly indicate that the model is fast and more accurate in recognizing and classifying the catastrophic condition occurring in the power transformer.

机译：差动继电器的核心任务是在故障条件下保护电力变压器，并在其他工作条件下发挥约束功能。通过结合人工神经网络和差分继电器提出了一种更好的保护方案。利用ANN的模式分类属性，该属性可区分发生在电力变压器中的各种运行状况，并在发生内部故障时发出跳闸命令。该方案是最高级的，因为它受差分电流中谐波的影响最小。这种基于ANN的方案的模型包括一个使用FFBP学习方法的ANN结构。学习数据是通过使用MATLAB仿真具有变压器的电力系统网络而获得的。回归图和性能图清楚地表明，该模型可以快速，更准确地识别和分类电力变压器中发生的灾难性状况。

著录项

来源
《》|2016年|68-74|共7页
会议地点 Bhopal(IN)
作者
Nimish Bhatt; O.P Rahi; Nitish Bharadwaj;
展开▼
作者单位

Department of Electrical Engineering, NIT Hamirpur H.P, India;

Department of Electrical Engineering, NIT Hamirpur H.P, India;

Department of Electrical Engineering, NIT Hamirpur H.P, India;

展开▼
会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Power transformers; Relays; Training; Biological neural networks; Surges; Neurons; Artificial neural networks;

机译：电力变压器;继电器;培训;生物神经网络;浪涌;神经元;人工神经网络;

相似文献

外文文献
中文文献
专利

1. Power transformer differential protection using neural network Principal Component Analysis and Radial Basis Function Neural Network [J] . Manoj Tripathy Simulation modelling practice and theory: International journal of the Federation of European Simulation Societies . 2010,第5期

机译：基于神经网络主成分分析和径向基函数神经网络的电力变压器差动保护
2. An alternative approach using artificial neural networks for power transformer protection [J] . D. V. Coury, E. C. Segatto European Transactions on Electrical Power . 2006,第1期

机译：使用人工神经网络进行电力变压器保护的另一种方法
3. DIFFERENTIAL PROTECTION OF TRANSFORMER BASED ON ARTIFICIAL NEURAL NETWORK AND PROGRAMMABLE LOGIC [J] . Isaque S. Almeida, Ricardo C. Santos International journal of power & energy systems . 2015,第4期

机译：基于人工神经网络和可编程逻辑的变压器差动保护
4. A novel methodology for power transformer differential protection by incorporating artificial neural network [C] . Nimish Bhatt, O.P Rahi, Nitish Bharadwaj International Conference on Electrical Power and Energy Systems . 2016

机译：一种新的电力变压器差动保护方法，包括人工神经网络
5. A Novel Adaptive Power System Protection Application Using Synchrophasor Measurements and Artificial Neural Networks [D] . Maier, Tyson Kenneth. 2020

机译：一种新颖的自适应电力系统保护应用，使用同步射频测量和人工神经网络
6. Comparative Analysis of Logistic Regression Support Vector Machine and Artificial Neural Network for the Differential Diagnosis of Benign and Malignant Solid Breast Tumors by the Use of Three-Dimensional Power Doppler Imaging [O] . Shou-Tung Chen, Yi-Hsuan Hsiao, Yu-Len Huang, 2009

机译：Logistic回归支持向量机和人工神经网络通过三维功率多普勒成像鉴别诊断良性和恶性实体乳腺肿瘤的比较分析
7. Recurrent Neural Networks Based Differential Protection of Power Transformers [O] . A. Y. Hatata, M. S. Kandil, M.M.I. El-Shamoty, 2014

机译：基于电力变压器的经常性神经网络的差动保护

A novel methodology for power transformer differential protection by incorporating artificial neural network

摘要

著录项

相似文献

相关主题

期刊订阅