基于电压暂降监测数据的敏感负荷非侵入式识别方法

doi:10.11930/j.issn.1004-9649.202007160

中国电力 ›› 2021, Vol. 54 ›› Issue (8): 35-42,51.DOI: 10.11930/j.issn.1004-9649.202007160

• 电能质量及其治理技术专栏 • 上一篇下一篇

基于电压暂降监测数据的敏感负荷非侵入式识别方法

胡翀¹, 徐斌¹, 甄超², 赵新德¹, 王昕³, 唐兴勇³

1. 国网安徽省电力有限公司电力科学研究院，安徽合肥 230022;
2. 国网安徽省电力有限公司，安徽合肥 230022;
3. 深圳市中电电力技术股份有限公司，广东深圳 518040

收稿日期:2020-07-30 修回日期:2020-12-20 出版日期:2021-08-05 发布日期:2021-08-05
作者简介:胡翀(1972-),男,工程师,从事电能质量研究,E-mail:1076861057@qq.com;徐斌(1980-),男,高级工程师,从事电能质量研究,E-mail:xub0619@ah.sgcc.com.cn
基金资助:
国网安徽省电力有限公司科技项目(521205190025)

A Non-invasive Identification Method for Sensitive Load Based on Voltage Sag Monitoring Data

HU Chong¹, XU Bin¹, ZHEN Chao², ZHAO Xinde¹, WANG Xin³, TANG Xingyong³

1. State Grid Anhui Electric Power Research Institute, Hefei 230022, China;
2. State Grid Anhui Electric Power Co., Ltd., Hefei 230022, China;
3. CET Shenzhen Electric Technology Inc., Shenzhen 518040, China

Received:2020-07-30 Revised:2020-12-20 Online:2021-08-05 Published:2021-08-05
Supported by:
This work is supported by Science and Technology Project of State Grid Anhui Electric Power Co., Ltd. (No.521205190025)

摘要/Abstract

摘要： 针对电压暂降治理时难以准确获取用户敏感设备参数和生产过程结构的问题，提出一种基于电压暂降监测数据识别敏感负荷的方法。对发生电压暂降时的电压和电流进行离散小波变换，计算有功功率轨迹；通过奇异值分解分段法识别轨迹过渡段起始点，获得轨迹特征及其与负荷电压暂降响应的关系；结合典型敏感设备电压耐受曲线，对暂降及负荷响应事件进行分组；再根据记录数据计算电压暂降结束后的有功功率及其恢复比例，由此识别典型敏感负荷有功功率占比。通过Matlab/Simulink仿真证明提出方法和指标的准确性、有效性，有重要的工程意义。

关键词: 电压暂降, 监测数据, 敏感负荷, 响应事件, 奇异值分解, 负荷辨识, 波形分析

Abstract: For the problem that it is difficult to accurately obtain the user's sensitive equipment parameters and the production process structure in voltage sag mitigation, a method is proposed for identifying sensitive loads based on available voltage sag monitoring data. Discrete wavelet transform is performed on the voltage and current recorded when the voltage sag occurs to calculate the active power trajectory. The singular value decomposition method is used to identify the starting point of the transition section of the trajectory, and the characteristics of the trajectory and its relationship with the load voltage sag response are obtained. Combined with the voltage tolerance curve of sensitive equipment, the sag and load-response events are grouped. The active power and its recovery ratio after the end of the voltage sag is then calculated based on the recorded data, thereby the active power percentage of typical sensitive loads is identified. Through Matlab/Simulink simulation, the accuracy and validity of the proposed method and indexes are proved, which has obvious engineering significance.

Key words: voltage sag, monitoring data, sensitive load, load-response events, singular value decomposition, load identification, waveform analysis

胡翀, 徐斌, 甄超, 赵新德, 王昕, 唐兴勇. 基于电压暂降监测数据的敏感负荷非侵入式识别方法[J]. 中国电力, 2021, 54(8): 35-42,51.

HU Chong, XU Bin, ZHEN Chao, ZHAO Xinde, WANG Xin, TANG Xingyong. A Non-invasive Identification Method for Sensitive Load Based on Voltage Sag Monitoring Data[J]. Electric Power, 2021, 54(8): 35-42,51.

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https://www.electricpower.com.cn/CN/Y2021/V54/I8/35

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基于电压暂降监测数据的敏感负荷非侵入式识别方法

A Non-invasive Identification Method for Sensitive Load Based on Voltage Sag Monitoring Data

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基于电压暂降监测数据的敏感负荷非侵入式识别方法

A Non-invasive Identification Method for Sensitive Load Based on Voltage Sag Monitoring Data

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