Experimental measurement of PMU error distribution and its impact on load model identification

@article{Zhang2016ExperimentalMO,
  title={Experimental measurement of PMU error distribution and its impact on load model identification},
  author={Xinran Zhang and Chao Lu and Junjie Lin and Ying Wang and Jifeng Wang and He Huang and Yinsheng Su},
  journal={2016 IEEE Power and Energy Society General Meeting (PESGM)},
  year={2016},
  pages={1-5}
}
Recently, many aspects of power system dynamic analysis, including oscillation identification, load model identification and system state estimation, are conducted based on the measurement data from phasor measurement unit (PMU). However, the impact of PMU measurement error, especially in power system dynamic process, has an assignable impact on these analysis results and thus cannot be neglected. In this paper, the requirements from IEEE standards and the analyze method for PMU measurement… CONTINUE READING

Figures and Tables from this paper.

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

Identifiability Analysis of Load Model Parameter Identification with Likelihood Profile Method

  • 2018 IEEE Power & Energy Society General Meeting (PESGM)
  • 2018
VIEW 1 EXCERPT
CITES BACKGROUND

Micro PMU based monitoring system for active distribution networks

  • 2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)
  • 2017

References

Publications referenced by this paper.
SHOWING 1-5 OF 5 REFERENCES

Research on perception of power system state based on WAMS

  • 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT)
  • 2015

X

June
  • Zhang, C. Lu, Y. Han, S. Yu, J. Wang, H. Huang, and Y. Su, "Ambient Signal based Load Model Parameter Identification using Optimization Method", in Proc. IEEE PES General Meeting, Denver, CO, 2015, pp. 1-5.
  • 2013