LMS-LMF Based ANFIS Control Algorithm with of DSTATCOM for Power Quality improvement in Distribution System

Authors

  • Dr. M. Padma Lalitha  M. Tech, Department of Electrical and Electronics Engineering, Annamacharya Institute of Technology and Sciences, Rajampeta, Andhra Pradesh, India
  • K. Sreedhar  Assistant professor, Department of Electrical and Electronics Engineering, Annamacharya Institute of Technology and Sciences, Rajampeta, Andhra Pradesh, India
  • I. Sudarshan Reddy  

Keywords:

ANFIS, MATLAB/SIMULINK, LMS, LMF, CPD, DSTATCOM, UPQC, HVDC, VSC, ZVR

Abstract

This paper proposes a combined east Mean Square-Least Mean Fourth (LMS-LMF) with adaptive neuro-fuzzy inference system (ANFIS) based control algorithm for power quality enhancement in three phase distribution systems. This algorithm is designing by using MATLAB/SIMULINK software for comparing the dynamic performance of the reactive current weights and supply reference currents. the proposed control algorithm is the combination of both LMF and LMS with adaptive neuro-fuzzy inference system (ANFIS) based controller. This control algorithm gives the quick and precise reaction.

References

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Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
Dr. M. Padma Lalitha, K. Sreedhar, I. Sudarshan Reddy, " LMS-LMF Based ANFIS Control Algorithm with of DSTATCOM for Power Quality improvement in Distribution System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 8, pp.641-648, November-December-2017.