The Comparison Performance of MPPT Perturb and Observe, Fuzzy Logic Controller, and Flower Pollination Algorithm in Normal and Partial Shading Condition

Abstract

Efficiency of photovoltaic can be optimal with power tracking system. Maximum Power Point Tracking (MPPT) is static tracking to harvest the electrical energy of photovoltaic module. Photovoltaic module can optimal generated energy in ideal condition that mean irradiation condition about 1000 W/m2 and temperature of 25ºC without shadow on surface of photovoltaic module. However, the implementation photovoltaic work in static and dynamic weather. Surface of photovoltaic module it is often blocked by a shadow like a tree, building, dust and any object around photovoltaic module. This problem resulted two or more peak power on P-V curve. This condition is called partial shading. Partial shading can’t be solved by using the conventional method therefore artificial intelligent method is needed. Hence, this paper comparison some method of MPPT that is Perturb and Observe, Fuzzy Logic Controller, and Flower Pollination Algorithm for normal and partial shading condition. MPPT using Zeta converter to control switching duty cycle. The performance of three methods is tested simulation by PSIM. Result from simulation show that the Fuzzy Logic Controller the best solution in normal condition with accuracy more than 99% and response to convergence. The other hand, Flower Pollination Algorithm method is the best solution for partial shading condition without oscillation and accuracy more than 98%.