A High Accuracy Phasor Estimation Algorithm for Phasor Measurement Units Calibrator

被引:0
|
作者
Xu S. [1 ]
Liu H. [1 ]
Bi T. [1 ]
Qian C. [1 ]
Zhang F. [2 ]
机构
[1] State Key Lab of Alternate Electric Power System with Renewable Energy Sources, North China Electric Power University, Beijing
[2] State Grid Xinjiang Electric Power Company, Urumqi
关键词
Phasor measurement method; Phasor measurement units; PMU calibrator; PMU test;
D O I
10.19595/j.cnki.1000-6753.tces.181531
中图分类号
TM93 [电气测量技术及仪器];
学科分类号
080802 ;
摘要
The testing and calibration of phasor measurement units (PMUs) are fundamental for their deployments and operation in power systems. Therefore, how to offer references with enough accuracy for PMU static and dynamic tests is critical. In this paper, a high accuracy phasor estimation algorithm for PMU calibrator is proposed. The universal phasor fitting models are built; the non-linear fitting-based phasor calculation algorithm is proposed according to the built optimization model minimizing the sum of squares of residuals; parameter initial points and bound constraints setting methods are proposed to solve multiple solutions resulting from nonlinear and nonconvex phasor fitting models; white noise restrain methods are presented to further improve the measurement accuracy. Furthermore, the PMU calibrator is developed. The results of both simulation and experimental test show that the accuracy of the PMU calibrator can meet requirements for calibration. The developed PMU calibrator can be used to test PMUs in the laboratory without high accuracy generator. © 2020, Electrical Technology Press Co. Ltd. All right reserved.
引用
收藏
页码:372 / 382
页数:10
相关论文
共 21 条
  • [1] Luo S., Li Y., Shi D., Wide area monitoring system observability probabilistic evaluation and it's application in optimal PMU placement, Transactions of China Electrotechnical Society, 33, 8, pp. 1844-1853, (2018)
  • [2] Shao Y., Tang F., Liu D., Et al., An approach of transient angle stability assessment in power system for WAMS measured data, Power System Protection and Control, 43, 6, pp. 33-39, (2015)
  • [3] Wang Z., Li C., Lin Z., Et al., Research on low frequency oscillation mode identification based on FOMC-HTLS-Adaline algorithm considering colored gaussian noises, Transactions of China Electrotechnical Society, 32, 6, pp. 21-30, (2017)
  • [4] Jiang T., Jia H., Li G., Et al., Cross-correlation coefficient-based coherency identification in Bulk power system using wide-area measure-ments, Transactions of China Electrotechnical Society, 32, 1, pp. 1-11, (2017)
  • [5] IEEE standard for synchro-phasor measurements for power systems
  • [6] IEEE standard for synchro-phasor measurements for power systems-amendment 1: modification of selected performance requirements
  • [7] Pogliano U., Braun J.P., Voljc B., Et al., Software platform for PMU algorithm testing, IEEE Transactions on Instrumentation & Measurement, 62, 6, pp. 1400-1406, (2013)
  • [8] Grando F.L., Denardin G.W., Moreto M., Test platform for analysis and development of phasor measurement units (PMU), IEEE International Conference on Industry Applications, pp. 1-6, (2017)
  • [9] Bi T., Liu H., Yang Q., Dynamic performance of PMU algorithm and its testing system, Automation of Electric Power Systems, 38, 1, pp. 62-67, (2014)
  • [10] Caldwell D., ANSI/NCSL Z540.3: 2006: Require-ments for the calibration of measuring and test equipment, (2006)