Improved maximum power point tracking algorithm with cuk converter for PV systems. Issue 13 (19th January 2018)

• Record Type: Journal Article
• Authors: Sun, Zongchang; Yang, Zhoujun
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1676
• Page End: 1681
• Publication Date: 2018-01-19
• Subjects: maximum power point trackers -- fuzzy control -- photovoltaic power systems; cuk converter -- PV systems -- maximum power point tracking techniques -- MPPT algorithm -- DC–DC converter -- PV model -- maximum power point tracking algorithm -- fuzzy controller -- direct control -- PV cell -- power–current -- photovoltaic systems; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0617
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : The maximum power point tracking (MPPT) techniques are essential for the optimisation of the efficiency in the photovoltaic (PV) systems. Here, a practical PV model is discussed and employed, and cuk converter is selected as MPPT's DC–DC converter for PV systems. Then, on the basis of the power–current ( P – I ) characteristics curve of a PV cell, an improved MPPT algorithm with direct control by using the fuzzy controller is proposed. Compared with some algorithms mentioned here, the proposed algorithm is able to track a more accurate MPP quickly and have a smaller steady‐state oscillation. To validate its correctness and good performance under the varying environmental conditions, simulation study on it is carried out in MATLAB/Simulink. Also, simulation results demonstrate the proposed algorithm here is feasible and in contrast, it has a faster dynamic and more robust steady‐state performance.