Open AccessAdaptive noise cancellation based harmonic elimination in grid integrated photovoltaic system
Author(s) -
Verma Arun Kumar,
Jain Chinmay,
Singh Bhim,
Shahani Dilip Tekchand
Publication year - 2016
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
eISSN - 1752-1424
pISSN - 1752-1416
DOI - 10.1049/iet-rpg.2015.0505
Subject(s) - photovoltaic system , harmonics , control theory (sociology) , grid connected photovoltaic power system , electronic engineering , maximum power point tracking , computer science , harmonic , noise (video) , maximum power principle , converters , active noise control , engineering , electrical engineering , voltage , noise reduction , inverter , control (management) , physics , acoustics , artificial intelligence , image (mathematics)
In this study, an adaptive noise cancellation technique is applied to eliminate harmonics in a grid integrated solar photovoltaic (PV) system under non‐linear load. A neuron is used to extract a fundamental component from polluted load currents. The proposed system serves multiple functions, as improvement of power quality at point of common coupling including other connected non‐linear loads, extraction of maximum power from a given PV array and feeding extracted solar power into the distribution system. The multiple functionality at a time helps in fast recovery of cost of power converters. The proposed control algorithm is based on adaptive detection of fundamental component. The proposed control algorithm presents an improved sensitivity for fast load changes. This proposed two‐stage PV power generating system is designed, modelled and tested to provide the solutions of several power quality problems in three‐phase four‐wire distribution system.