Journal
IET RENEWABLE POWER GENERATION
Volume 14, Issue 9, Pages 1453-1462Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2019.0776
Keywords
power grids; photovoltaic power systems; least mean squares methods; power generation control; harmonic distortion; maximum power point trackers; modified leaky LMS-based control strategy; single-stage three-phase grid; modified leaky least mean square-based control strategy; MLLMS-based control scheme; incremental conductance maximum power point tracking algorithm; maximum power extraction; MLLMS algorithm; fundamental active components; reactive components; load current; PV power; compensating harmonics; connected loads; leakage factor; popular adaptive algorithms; prototype grid-tied PV system; mean square error; grid currents
Categories
Funding
- Department of Science and Technology - Solar Energy Research Initiative (DST-SERI), Government of India [DST/TM/SERI/DSS/331]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available