Optimization of Stand-Alone Polycrystalline Photovoltaic Array System by Implementing Fuzzy Logic and Perturbation and Observation Maximum Power Point Tracking Controller
Renewable energy is energy that is obtained from renewable resources such as solar, air, water, tides, waves, and so forth. Photovoltaic (PV) energy has proven that it is more important than other renewable energy sources. However, the efficiency of the PV system cannot be maintained as the temperature and irradiance can affect the efficiency of the PV systems. The main focus on this study is to simulate the PV system in Matlab Simulink software that consists of two different types of system, namely, the PV system with maximum power point tracking (MPPT) and PV system without MPPT controller. Fuzzy logic and perturbation and observation (P&O) MPPT algorithm were used as the MPPT controller. Five modules of KC200GT PV model were arranged in one series circuit to generate a 1000W from PV array. At standard temperature condition of 25°C and 1000W/m2, the power obtained for PV system without MPPT is 469.62W. On the other hand, the power obtained from the PV system with fuzzy logic MPPT is 679.97W, with 44.79% of increasing power. For P&O MPPT, the obtained power is 782.82W, with the increment of 66.69%. Therefore, it can be seen that the P&O MPPT controller showed a more promising performance when compared to fuzzy logic MPPT controller.