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文章摘要
基于同步相量的高密度量测数据压缩技术研究
Research on High Density Measurement Data Compression Technology Based on Synchronous Phasor
Received:January 27, 2019  Revised:January 27, 2019
DOI:10.19753/j.issn1001-1390.2020.13.015
中文关键词: 故障录波器  故障信号  向量化算法  数据压缩
英文关键词: fault recorder  fault signal  phasor transformation  data transmission
基金项目:基金项目:国网辽宁省电力有限公司电力科学研究院科技项目 名称:故障录波数据相量化及故障定位装置开发 项目编号:SGLNDK00DWJS1800121
Author NameAffiliationE-mail
caiyupeng* LiaoNing Electric Power Research Institute hnzzzsjie@163.com 
2 武汉中元华电科技股份有限公司 2@163.com 
张武洋 国网辽宁省电力有限公司电力科学研究院 3@163.com 
4 4 4@163.com 
5 55 5@163.com 
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中文摘要:
      针对目前电网故障分析中存在的覆盖范围单一、不适应网络化、系统化分析需求的问题,本文在同步相量测量装置和故障录波器普及化的前提下,通过研究故障录波器数据相量化压缩技术,将故障录波数据转化为广域测量系统数据,从而实现高密度量测数据源全覆盖。本文首先通过理论分析,研究了相量化算法中常用的算法结构,然后结合现场提出了向量化压缩算法流程,计算得到故障信号的幅值、相位、频率和频率变化率四个量,大大减少了数据冗余。最后本文通过仿真验证,分析了频率偏移、耦合谐波、幅值突变、相位突变、频率斜坡变化五种典型情况的相量压缩计算结果,结果表明本文提出的故障录波数据相量化压缩算法可有效降低数据冗余量,完全满足高密度量测数据分析要求。
英文摘要:
      In view of the problems of single coverage, unsuitable for network and systematic analysis in current power grid fault analysis, this paper studies the phase quantization compression technology of fault recorders data under the premise of popularization of PMU and fault recorder.It converts fault-recorded data into wide-area measurement system data, enabling full coverage of high-density measurement data sources.Firstly, the algorithm structure commonly used in phase quantization algorithm is studied.Then, the vectorization compression algorithm flow is proposed, and the amplitude, phase, frequency and frequency change rate of the fault signal are calculated, which greatly reduces the amount.Finally, the phasor compression calculation results of five typical cases of frequency offset, coupled harmonics, amplitude abrupt change, phase abrupt change and frequency ramp change are analyzed by simulation.The results show that the compression algorithm can effectively reduce the amount of data redundancy and fully meet the requirements of high-density measurement data analysis.
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