Maximum Power Point Tracking control for stand-alone photovoltaic system using fuzzy sliding mode control

Photovoltaic (PV) technology, as one of renewable energy resource with green technology characteristic, has a great chance to develop in Indonesia since this country has tropical climate. This paper proposed the other method to control of maximum power point tracker for stand-alone photovoltaic system using fuzzy sliding mode control. A DC-DC Cuk converter was chosen to regulate the DC voltage from the PV module. To obtain optimum PV power, duty cycle of Cuk converter was controlled by the 'MPPT_Fuzzy Sliding Mode (MPPT_FSM) controller. PV voltage and current values at the Maximum Power Point (MPP) point, as controller references, were obtained using Perturb and Observe algorithm. It can be concluded from the simulation results that by using MPPT_FSM controller, Cuk converter was able to optimize the PV power, in accordance with its MPP point at V vs. P characteristic curve. In constant load tests, with the input radiation and temperature constant and varied, it was seen that the MPPT_FSM controller was capable to eliminate overshot and reduce oscillations (harmonics) due to the ripple factor of 60%.