DESIGN OF MAXIMUM POWER POINT TRACKING BASED ON ADAPTIVE NEURO-FUZZY SYSTEM FOR SOLAR ARRAY SYSTEM

摘要

This paper proposes a design of maximum power point tracking (MPPT) based on adaptive neuro-fuzzy system for solar array system. In a solar power plant, MPPT serves to maximize the solar array output power. The characteristics of solar array performance always follow the sun's line. Under normal circumstances, the maximum solar array output power is obtained when the maximum sunlight intensity. This power will decrease as the intensity of sunlight decreases. Therefore, MPPT technology is needed to maximize solar array output power at any time. Several methods have been applied to MPPT technology. In this study the proposed method is adaptive neuro-fuzzy based method. MPPT supported by this adaptive neuro-fuzzy method is mounted on a power converter connected to the solar array output. Along with this MPPT, it is expected that solar array output power is always maximal. Solar array with adaptive neuro-fuzzy-based MPPT method has been implemented in Simulink software. Based on the research results, they have been obtained that MPPT is able to maximize solar array output power well.