Open AccessConvex combination of least mean square for grid‐tied PV system
Author(s) -
Jain Vandana,
Hussain Ikhlaq,
Kandpal Maulik,
Singh Bhim
Publication year - 2019
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.2018.5552
Subject(s) - photovoltaic system , control theory (sociology) , harmonics , least mean squares filter , voltage , maximum power point tracking , grid , convergence (economics) , square (algebra) , distortion (music) , computer science , adaptive filter , engineering , electronic engineering , mathematics , algorithm , control (management) , electrical engineering , inverter , geometry , artificial intelligence , economic growth , economics , amplifier , cmos
Here, an implementation of three‐phase grid‐tied single‐stage solar photovoltaic (PV) system is done at adverse grid situations of voltage unbalances. The proposed convex combination of least mean square (CCLMS) control approach is adaptive in nature, which extracts the fundamental component of load current (FCI) with fast convergence and provides good performance than conventional controls. The CCLMS algorithm overcomes the compromise of LMS filters between precision and tracking capability due to fixed stepping by providing a combination of two filters for precision and fast tracking. The perturb and observe (P&O)‐based maximum power point tracking (MPPT) is employed for peak power extraction from a PV array. The system is tested in the laboratory on a developed prototype at several adverse conditions like voltages unbalance, load currents unbalances, and irradiation changes. The system performance is acceptable and harmonics distortion is in the limits according to the IEEE‐519 standard while supplying energy to the utility and to the loads.