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

Authors(3) :-Dr. M. Padma Lalitha, K. Sreedhar, I. Sudarshan Reddy

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 3 | Issue 8 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 641-648
Manuscript Number : IJSRSET1738181
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
Journal URL : http://ijsrset.com/IJSRSET1738181

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