702 / 2019-04-23 16:58:58
Performance Evaluation of Variable Constrained Based LMS Algorithm for Power System Harmonic Parameter Estimation
Harmonics,LMS adaptive algorithm,Matlab,NLMS,VCLMS
Abstract Accepted
This paper evaluates performance of the proposed variable constrained based Least Mean Square (VCLMS) algorithm in terms of convergence, computational time, steady state error and mean square error. The parameters of a power signal containing inter harmonics, sub harmonics and high order harmonics are estimated using the VCLMS algorithm and the results are compared with Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) algorithms for judging the comparative performance of VCLMS in presence of white Gaussian noise with a signal to noise ratio of 20 dB, 30 dB and 40 dB. In a broader sense it can be concluded from the experimental results that VCLMS outperforms the LMS and NLMS algorithms. All the experiments are carried out in MATLAB Simulating environment.
Important Date
  • Conference Date

    Oct 21

    2019

    to

    Oct 24

    2019

  • Oct 13 2019

    Abstract Notification of Acceptance

  • Oct 13 2019

    Draft paper submission deadline

  • Oct 14 2019

    Draft Paper Acceptance Notification

  • Oct 24 2019

    Registration deadline

  • Oct 29 2019

    Final Paper Deadline

Organized By
Xi'an Jiaotong University
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