PROJECT TITLE :

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

ABSTRACT:

When conventional most power point tracking (MPPT) techniques are required to control fast beneath rapidly changing environmental conditions, a massive power loss will be caused by slow tracking speed, output power fluctuation, or additionally needed accidental parameters. This paper proposes a fast and efficient MPPT technique that minimizes the ability loss with the adaptively binary-weighted step (ABWS) followed by the monotonically decreased step (MDS) without causing output power fluctuation or requiring further unexpected 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 quick and correct tracking below rapidly changing environmental conditions. The experimental results based mostly on a distributed PV system demonstrate that the proposed MPPT technique is superior to the traditional perturb and observe (P&O) technique, that reduces the tracking time and the general power loss by up to 82.ninety five%, 91.fifty one% and 82.46%, 97.71% for 2 PV modules, respectively.


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