Comparative Study of Buck-Boost, SEPIC, Cuk and Zeta DC-DC Converters Using Different MPPT Methods for Photovoltaic Applications

Abstract

The power produced in a photovoltaic (PV) system is highly dependent on meteorological conditions and the features of the connected load. Therefore, maximum power point tracking (MPPT) methods are crucial to optimize the power delivered. An MPPT method needs a DC-DC converter for its implementation. The proper selection of both the MPPT technique and the power converter for a given scenario is one of the main challenges since they directly influence the overall efficiency of the PV system. This paper presents an exhaustive study of the performance of four step-down/step-up DC-DC converter topologies: Buck-Boost, SEPIC, Zeta and Cuk, using three of the most commonly implemented MPPT techniques: incremental conductance (IncCond), perturb and observe (P&O) and fuzzy logic controller (FLC). Unlike other works available in the literature, this study compares and discusses the performance of each MPPT/converter combination in terms of settling time and tracking efficiency of MPPT algorithms, and the conversion efficiency of power converters. Furthermore, this work jointly considers the effects of incident radiation variations, the temperature of the PV panel and the connected load. The main contribution of this work, other than selecting the best combination of converter and MPPT strategy applied to typical PV systems with DC-DC power converters, is to formulate a methodology of analysis to support the design of efficient PV systems. The results obtained from simulations performed in Simulink/MATLAB show that the FLC/Cuk set consistently achieved the highest levels of efficiency, and the FLC/Zeta combination presents the best transient behavior. The findings can be used as a valuable reference for the decision to implement a particular MPPT/converter configuration among those included in this study.

Development of multiple input supply based modified SEPIC DC–DC converter for efficient management of DC microgrid

“…In co-ordination with the buck-boost and Cuk where the converters have same topologies of working where in combined, they can work in more efficient way. The output can be of same when compared SEPIC and the combination of Buck-Boost & Cuk converter 25 . However, the issue is the increase of complexity, where the complexity can be reduced and the desired output can be acquired as well.…”

Deep learning based buck-boost converter for PV modules

“…The output ripple problem is a topic of research interest nowadays. The major cause of this problem is the non-linearity in the converters produces faults, decreasing the system's overall efficiency [24] , [25] , [26] . Power electronics use approximation to overcome the issue.…”

Simplified Nonlinear Current-Mode Control of DC-DC Cuk Converter for Low-Cost Industrial Applications

“…In [ 5 , 6 , 7 , 8 , 9 , 10 , 11 ], robust control methods have been studied with the DC-DC Cuk converter. For instance, a control algorithm based on fuzzy logic has been implemented with a photovoltaic (PV) system, in which a DC motor is fed via a Cuk power converter [ 5 ].…”

“…An ant colony-optimized maximum power-point tracking (MPPT) control system that employs a single Cuk converter as an impedance power adapter has been given in [ 10 ]. A fuzzy logic-based MPPT control technique for buck-boost, Cuk, SEPIC, and ZETA DC-DC converters has been studied for PV applications [ 11 ]. Despite the robust tracking performance of the aforementioned controllers, their practical implementation is complicated and requires expensive platforms such as dSPACE and DAQCard-6062E, which are not attractive for low-cost industrial applications.…”