Implementasi Maximum Power Point Tracking pada Photovoltaic Berbasis P&O-Fuzzy
Abstract: Maximum Power Point
Tracking (MPPT) technology is an alternative solution to improve efficiency of
solar cells (photovoltaic). The main part of MPPT technology is DC-DC converter
circuit and control algorithm. This paper proposes a control algorithm Perturbation
and Observe (P&O)-Fuzzy on MPPT, which can improve the efficiency of solar
cells, and simultaneously comparing the control algorithms P&O and
P&O-Fuzzy. Synchronous buck converter is used to reduce the voltage of
solar cells. The buck converter is controlled using P&O and P&O-Fuzzy
algorithms. These algorithms use two inputs; change of power and change of
voltage, produced by the solar cell. MPPT technology has been tested using
solar cells with a capacity of 50 Watt as a source of electrical energy,
battery 12V/45aH as energy storage, and resistor as load. The test results
indicate that the P&O algorithm has an efficiency of 86% with rise time
(tr) and steady state time (ts) at 0.45 seconds, while the P&O-Fuzzy
algorithm has an efficiency of 89% with rise time (tr) and steady state time
(ts) at 0.3 seconds.
Penulis: Machmud Effendy, Nur
Alif Mardiyah, Khusnul Hidayat
Kode Jurnal: jptlisetrodd170467
