Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/6300
Title: Control algorithms for a three-phase Shunt Compensator – A comparative study
Authors: Gupta Gunjan 
Fritz Wilfred 
Keywords: Adaptive neuro-fuzzy inference system (ANFIS);Hyperbolic tangent function (HTF);Distribution Static Compensator (DSTATCOM);Least mean square (LMS)
Issue Date: Feb-2017
Publisher: Computational Intelligence & Communication Technology (CICT)
Source: Computational Intelligence & Communication Technology (CICT), 2017 3rd International Conference on 9-10 February 2017
Conference: 3 rd IEEE International Conference on "Computational Intelligence and Communication Technology" (IEEE-CICT 2017) 
Abstract: A comparison between the performance of the two control algorithms, Adaptive neuro-fuzzy inference system based on least mean square (ANFIS-LMS) and hyperbolic tangent function-based on least mean square (HTF-LMS) control algorithm for three-phase DSTATCOM (Distribution static compensator) is presented in this paper. A Shunt compensator consists of a three leg VSC (voltage source converter) and a zigzag transformer to eliminate the defects caused by the loads which are nonlinear in nature, in three-phase systems. The ANFIS-LMS-based control algorithm estimates reference supply currents by extracting fundamental components of active and reactive power and the hyperbolic function control algorithm based on LMS enhances the convergence rate with the noise suppression in the power systems. The DSTATCOM prototype is developed in real time and implementation is performed on DSP (Digital signal processor). Simulation is done in MATLAB environment, resulting in the HTF-LMS based control algorithm that is much faster than the ANFIS-LMS based algorithm with a more reduced static error rate.
URI: http://hdl.handle.net/11189/6300
DOI: 10.1109/CIACT.2017.7977349
Appears in Collections:Eng - Conference Papers

Files in This Item:
File Description SizeFormat 
Control algorithms for a three phase shunt compensator.pdf520.56 kBAdobe PDFView/Open
Show full item record

Page view(s)

8
checked on May 26, 2018

Download(s)

1
checked on May 26, 2018

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons