Efficient Maximum Power Point Tracking for a Distributed PV System under Rapidly Changing Environmental Conditions

When conventional maximum power point tracking (MPPT) techniques are required to operate fast under rapidly changing environmental conditions, a large power loss can be caused by slow tracking speed, output power fluctuation, or additionally required ad hoc parameters. This paper proposes a fast and...

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Bibliographic Details
Published in:IEEE transactions on power electronics 2015-08, Vol.30 (8), p.4209-4218
Main Authors: Yohan Hong, Pham, Son N., Taegeun Yoo, Kookbyung Chae, Kwang-Hyun Baek, Yong Sin Kim
Format: Article
Language:English
Subjects:
Efficiency
Electric power
Electrical equipment
Electronics
Environmental conditions
Fluctuation
Fluctuations
Inverters
Maximum power
Maximum power point trackers
Modules
Photovoltaic cells
Power loss
Pulse width modulation
Simulation
Solar cells
Steady-state
Tracking
Voltage control
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Summary:When conventional maximum power point tracking (MPPT) techniques are required to operate fast under rapidly changing environmental conditions, a large power loss can be caused by slow tracking speed, output power fluctuation, or additionally required ad hoc parameters. This paper proposes a fast and efficient MPPT technique that minimizes the power loss with the adaptively binary-weighted step (ABWS) followed by the monotonically decreased step (MDS) without causing output power fluctuation or requiring additional ad hoc parameter. The proposed MPPT system for a photovoltaic (PV) module is implemented by a boost converter with a microcontroller unit. The theoretical analysis and the simulation results show that the proposed MPPT provides fast and accurate tracking under rapidly changing environmental conditions. The experimental results based on a distributed PV system demonstrate that the proposed MPPT technique is superior to the conventional perturb and observe (P&O) technique, which reduces the tracking time and the overall power loss by up to 82.95%, 91.51% and 82.46%, 97.71% for two PV modules, respectively.
ISSN:0885-8993
1941-0107
DOI:10.1109/TPEL.2014.2352314