Open AccessModified leaky LMS‐based control strategy for reliable operation of single‐stage three‐phase grid‐tied PV system
Author(s) -
Parida Abhisek,
Subudhi Bidyadhar
Publication year - 2020
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.2019.0776
Subject(s) - control theory (sociology) , least mean squares filter , photovoltaic system , grid , computer science , maximum power point tracking , maximum power principle , harmonics , algorithm , mathematics , engineering , adaptive filter , control (management) , voltage , electrical engineering , geometry , inverter , artificial intelligence
This study presents development of a modified leaky least mean square (MLLMS)‐based control strategy for a single‐stage three‐phase grid‐tied photovoltaic (PV) system. In the proposed MLLMS‐based control scheme, the authors employ an incremental conductance maximum power point tracking algorithm for maximum power extraction, MLLMS algorithm for extraction of fundamental active and reactive components of the load current, delivering PV power to the grid, balancing the grid current and compensating harmonics of the connected loads at the point of common coupling. By virtue of a leakage factor and selection of sum of the exponential of the adaptation error in the cost function, the MLLMS algorithm overcomes the problems of drifting, low convergence and oscillations in weights encountered by some popular adaptive algorithms, e.g. least mean square (LMS) and least mean fourth (LMF) algorithms. The proposed control scheme is simulated in MATLAB/Simulink environment under different load and environmental conditions. Subsequently, the proposed control scheme is realised on a prototype grid‐tied PV system developed in the laboratory. From both the simulation and experimental results, it is observed that the proposed MLLMS algorithm outperforms LMS and LMF algorithms in terms of mean square error, oscillation in weights and total harmonic distortions of the grid currents.