166 / 2021-10-29 21:22:50
Interval Robust State Estimation Based on Uncertainty Measurement Error
Interval state estimation, Robust state estimation, Bad data identification, Uncertainty
Final Paper
Xu Zhang / Chongqing university
Meiqing Huo / Chongqing University
Wei Yan / Chongqing University
The state estimation based on measurement error often deviates from the actual state of power system, mainly because the error interval assumed cannot contain the true value. To solve this problem, an interval robust state estimation method based on uncertain measurement error (IRSE) have been proposed. The method have used interval state estimation (ISE) to obtain the error interval which containing the true value, and based on the measurement uncertainty state estimation model (MNMR) to implement robust state estimation. Compared with MNMR and WLS, the method avoid the misjudgment of MNMR on bad data, and has an obvious improvement on estimation accuracy.
Important Date
  • Conference Date

    Jul 11

    2023

    to

    Aug 18

    2023

  • Nov 10 2021

    Draft paper submission deadline

  • Dec 10 2021

    Registration deadline

  • Dec 11 2021

    Contribution Submission Deadline

Sponsored By
IEEE IAS
Organized By
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST