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IET Generation, Transmission & Distribution
Article . 2017 . Peer-reviewed
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Gauss–Newton‐based fast and simple recursive algorithm for compensation using shunt active power filter

Authors: Prakash Chittora; Alka Singh; Madhusudan Singh;

Gauss–Newton‐based fast and simple recursive algorithm for compensation using shunt active power filter

Abstract

Three‐phase, four‐wire systems are prone to various power quality (PQ) problems such as load unbalancing, low power factor, harmonics and problem of neutral current. Modified recursive Gauss–Newton (MRGN) algorithm is proposed to mitigate various PQ problems in four‐wire distribution systems. The recursive Gauss–Newton method is quite complex, so it is modified to obtain simple and fast MRGN control technique. The proposed algorithm is developed using MATLAB/Simulink environment and tested for mitigation of various PQ problems. Thereafter, a hardware prototype for shunt active power filter (SAPF) is developed along with various sensors, control circuits using dspace 1104 as digital signal processor. Gating circuits provide proper gating pulses to control SAPF as per the new algorithm. Results with linear and non‐linear loads have been tested under a variety of loading conditions and thoroughly analysed for its performance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
Published in a Diamond OA journal