Methodology for Performing Synchrophasor Data Conditioning and Validation

被引:107
作者
Jones, Kevin D. [1 ]
Pal, Anamitra [2 ]
Thorp, James S. [2 ]
机构
[1] Virginia Elect & Power Co, Richmond, VA 23219 USA
[2] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
关键词
Data quality; Kalman filter; phasor measurement unit (PMU); state estimation; DYNAMIC STATE ESTIMATION; TRACKING STATE; KALMAN FILTER; PHASOR; ALGORITHM; ROBUST;
D O I
10.1109/TPWRS.2014.2347047
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];
摘要
A phasor measurement unit (PMU) only state estimator is intrinsically superior to its SCADA analogue with respect to speed, performance, and reliability. However, ensuring the quality of the data stream which enters the linear estimator is crucial before establishing it as the front end of an EMS or other network applications. One approach is to pre-process the phasor data before it arrives at the linear estimator. This paper presents an algorithm for synchrophasor data conditioning and repair that fits neatly as a prefix into the existing linear state estimation formulation. The methodology has been tested using field data obtained from PMUs installed in Dominion Virginia Power's (DVP's) EHV network. The results indicate that the proposed technique provides a computationally simple, elegant solution to the synchrophasor data quality problem.
引用
收藏
页码:1121 / 1130
页数:10
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