A New Method to Detect Voltage Sag Based on Wavelet Energy Entropy

Author:

Wang Chang Gang1,Wang Lin Chuan1,Liu Jia1,Liu Bin1

Affiliation:

1. Northeast DianLi university

Abstract

Voltage sags was a common power system disturbance, usually associated with power system faults. Nowadays, there were more and more methods to detect voltage sag, involving with RMS, peak voltage detect, FFT. Owing to their defections, they were too slow when they came to being applied to detect voltages sags. This paper presents a method based on wavelet energy entropy detection voltage sags, this method can detect the drop time quickly and sensitively. In order to verify the feasibility of the proposed method, a numerical example simulation has been done based on matlab / simulink , results show that there is a significant effect.

Publisher

Trans Tech Publications, Ltd.

Reference13 articles.

1. Guang Shen, Runping Chen, Xin Li. Study of Distribution Network Voltage Sags Using a Real-time Power Quality Monitoring System[J]. High Voltage Engineering, 2006, 32(5): 97-99. (in chinese).

2. Xiangning Xiao, Yonghai Xu, Hao Liu, Research on the Detection Method of Voltage Sag Characteristics[J]. Electric Power Automation Equipment; 2002, 22(1): 19-22. (in chinese).

3. N. S. Tunaboylu,E. R. Collins, JR. PR. Chaney, Voltage disturbance evaluation using the missing voltage technique, Proceedings of 8th International Conference on Harmonics and Quality of Power, Athens Greece, 1998:577-582.

4. Yunchan Liu, Chun Huang, Liquan Ou, Method for Unbalanced Voltage Sags Detection Based on dq Transform[J], Proceedings of the CSU-EPSA, 2007, 19(3); 72-76. (in chinese).

5. Jie Yang, Jinhao Wang, Xuemeng Zhang, Yonghai Xu, Analysis of voltage sag source location based on wavelet multiresolution method[J], Power System Protection and Control, 2010, 38(22): 90-95. (in chinese).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3