Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation

• Published in: IEEE transactions on industrial electronics (1982) Vol. 61; no. 10; pp. 5384 - 5392
• Main Authors: Kok Soon Tey, Mekhilef, Saad
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Approximation algorithms; Arrays; Fuzzy logic; Hardware; Impedance; Incremental conductance; Load management; Maximum power; Maximum power point trackers; Photovoltaic cells; Radiation effects; Shading; Solar cells; Solar energy; Tracking; DC¿DC converter; maximum power point tracking (MPPT); partial shading; incremental conductance (Inc Cond); photovoltaic (PV) system
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2014.2304921

Under partial shading conditions, multiple peaks are observed in the power-voltage (P- V) characteristic curve of a photovoltaic (PV) array, and the conventional maximum power point tracking (MPPT) algorithms may fail to track the global maximum power point (GMPP). Therefore, this paper proposes a modified incremental conductance (Inc Cond) algorithm that is able to track the GMPP under partial shading conditions and load variation. A novel algorithm is introduced to modulate the duty cycle of the dc-dc converter in order to ensure fast MPPT process. Simulation and hardware implementation are carried out to evaluate the effectiveness of the proposed algorithm under partial shading and load variation. The results show that the proposed algorithm is able to track the GMPP accurately under different types of partial shading conditions, and the response during variation of load and solar irradiation are faster than the conventional Inc Cond algorithm. Hence, the effectiveness of the proposed algorithm under partial shading condition and load variation is validated in this paper.