Comprehensive review on global maximum power point tracking techniques for PV systems subjected to partial shading conditions
Introduction
A photovoltaic module has nonlinear P-V characteristics curves, which vary with environmental conditions such as temperature and solar irradiance. To extract the maximum power available from the PV module at any time, maximum power point tracking (MPPT) control techniques are vital. Traditional strategies such as perturb and observe (P&O), incremental conductance (IC) and hill climb (HC) are usually used to track maximum power under uniform irradiance conditions (Femia et al., 2005, Esram and Chapman, 2007). However, these methods cannot deal with the problem of partial shading, which induces multiple peaks caused by the insertion of bypass diodes. Therefore, partial shading is a serious problem that causes significant power losses which decreases the efficiency of the PV system (Ahmed and Miyatake, 2008, Koutroulis and Blaabjerg, 2012, Renaudineau et al., 2011). To solve this problem, several solutions are offered to maximize the output power of the PV system (Bidram et al., 2012, Belhachat and Larbes, 2015, Belhachat and Larbes, 2017). In this work, we are only interested on tracking techniques of the global maximum power point under partial shading conditions.
A variety of MPPT methods for maximum power point tracking under partial shading conditions have been developed and can be found in literature reviews such as (Belhachat and Larbes, 2018, Lian et al., 2018, Danandeh and Mousavi, 2018, Li et al., 2018a, Makbul et al., 2017, Joshi and Arora, 2017, Mohapatra et al., 2017, Batarseh and Za'ter, 2018, Gupta et al., 2016, Dileep and Singh, 2017).
For instance, in (Belhachat and Larbes, 2018) the GMPPT techniques were categorized as methods based on optimization algorithm, hybrid algorithm, mathematical model and other GMPPT.
In addition to that, other methods have been recently developed to track the GMPP under non-uniform conditions. Among these strategies, those involving the application of intelligent and metaheuristic search algorithms. We can mention improved chicken swarm optimization (ICSO) (Wu et al., 2018), modified cat swarm optimization (MCSO) (Guo et al., 2018), improved gravitational search algorithm (IGSA) (Ling et al., 2018), improved differential evolution algorithm (IDE) (Tey et al., 2018), modified particle velocity-based particle swarm optimization (MPV-PSO) (Sen et al., 2018), modified firefly algorithm (MFA) (Farzaneh et al., 2018), deterministic cuckoo search algorithm (DCS) (Peng et al., 2018), moth-flame optimization algorithm (MFO) (Aouchiche et al., 2018), artificial mountain ape optimization (Gupta and Saurabh, 2017a), modified artificial killer whale optimization algorithm (MAKWO) (Gupta and Saurabh, 2017b). Further, hybrid strategies have been proposed to improve the performance of the above methods such as hybrid grey wolf optimization and beta method (GWO-Beta) (Rocha et al., 2018), modified genetic algorithm and firefly algorithm (MGA-FA) (Huang et al., 2018), single current sensor hill climbing and artificial bee colony (SSHC-ABC) algorithms (Saikrishna et al., 2018), grey wolf optimization and golden-section optimization (GWO-GSO) (Shi et al., 2018), overall distribution and PSO algorithm (OD-PSO) (H. Li et al., 2018), particle swarm optimization combined with one cycle control (PSO-OCC) (Anoop and Nandakumar, 2018), method based on ANN assisted sequential Monte Carlo and quickest change detection (ANN-SMC) (Chen and Wang, 2018), improved 0.8 VOC model and P&O algorithm (Başoğlu and Çakır, 2018), hybrid taguchi genetic algorithm (HTGA) (Lee et al., 2018), artificial neural network and particle swarm optimization algorithm (ANN-PSO) (Said et al., 2017), hybrid particle swarm optimization gravitational search algorithm (PSO-GSA) (Mohamed et al., 2019), gray wolf optimization and fuzzy logic controller (GWO-FLC) (Eltamaly and Farh, 2019), hybrid Gaussian process regression-Jaya (GPR-Jaya) algorithm (Chao et al., 2019).
Other GMPPT methods have been used for the same objective, these methods include approximating I-V curve (Ghasemi et al., 2018), current source region detection of I-V curve (Aquib and Jain, 2018), maximum power trapezium (MPT) algorithm (Furtado et al., 2018), a power-increment algorithm (X. Li et al., 2018), two stage using searching technique and bisection method (Ramana et al., 2018), enhanced Bayesian based MPPT (Keyrouz, 2018), high speed MPPT module (Sankar et al., 2018), enhanced adaptive P&O (EA-P&O) (Ahmed and Salam, 2018), artificial vision algorithm (Martin et al., 2018), a bypass diode scanning approach (Winston et al., 2018), method based on maximum power that the series and parallel configuration of PV cells are able to deliver (Ashouri-Zadeh et al., 2018)…etc. All the above mentioned methods will be detailed in this paper.
As mentioned above, there are several MPPT techniques dealing with partial shading conditions cases in the literature. However, for a designer it is difficult to make the right choice for a specific application. Each application has its own criteria like efficiency, tracking speed, cost, accuracy, implementation complexity etc.
For this purpose, this study reviews the literature on recent MPPT methods under partial shading conditions. The MPPT methods can be classified in different ways on the basis of the criteria used to track the MPP. In this paper, the reviewed MPPT methods are classified into four major groups and compared. The first group includes optimization MPPT techniques. The second category consists of different hybrids techniques. The third category includes the techniques based on exploitation of characteristics curves and the fourth category deals with other global MPPT techniques.
The rest of the paper has the following organization. 2 Characteristics of PV array under partial shading conditions, 3 DC–DC converter topology describe the characteristics of PV array under partial shading conditions and the DC-DC converter topologies, respectively. Section 4 details the selected global MPPT techniques to track GMPP. Section 5 analyzes and discusses reviewed and selected algorithms. Finally, a conclusion is given in Section 6.
Section snippets
Characteristics of PV array under partial shading conditions
As discussed above, in the presence of partial shading, several peaks appear on the characteristic curve of PV array.
Fig. 1 illustrates the Simulink model of the 4 × 4 PV array configuration connected in series. The corresponding irradiance level (shading pattern) for each PV module is depicted in Table 1.
Fig. 2, Fig. 3 show the P-V characteristics of 4x4 PV array connected in series under uniform conditions (1000 W/m2) and partial shading conditions for different temperature levels,
DC–DC converter topology
The DC-DC power converter is the important element in PV system’s optimization, as it acts as an interface between the PV generator and the adapted load (Ba et al., 2018). This DC-DC power converter is controlled through its switch by a signal called the duty cycle which is generated by the MPPT technique.
In general, the duty cycles given to the switch decreases or increases the voltage produced by the PV generator so that it can converges to the MPP voltage, by using a voltage step-down (buck)
GMPPT methods
There are different MPPT techniques available for extracting maximum power from PV arrays. Some of the important techniques are discussed below.
The selected methods can be categorized into four main groups. The first group includes optimization algorithms based MPPT techniques. The second category includes different hybrid algorithms based MPPT. The third category includes methods that exploit characteristics curves of the PV array. The fourth category is classified as other GMPPT.
Comparison and discussion
In the previous sections, the methods developed in the literature for the PSC cases have been classified and evaluated with their advantages and drawbacks. In this section, Table 2 aims to give a brief evaluation of the selected studies to the designers. In Table 2, all studies of this review were evaluated from the point of view of complexity level, tracking speed, efficiency, and complexity level, etc.
Through the analysis of the different methods, the following remarks can be made:
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The
Conclusion
In the literature, there is wide variety of works dealing with tracking the global MPP under partial shading conditions. Therefore, it is extremely difficult for the designer to determine the suitable method given the large number of techniques. For this purpose, this review study has discussed and analyzed the most important and recent techniques developed in the literature, revealing the advantages and disadvantages of each technique. In this study, the selected techniques were classified
Conflict of interest
The authors declare that they have no conflict of interest.
References (66)
- et al.
A maximum power point tracking (MPPT) for PV system using cuckoo search with partial shading capability
Appl. Energy
(2014) - et al.
A novel maximum power point tracking for photovoltaic applications under partially shaded insolation conditions
Electric Power Syst. Res.
(2008) - et al.
AI-based global MPPT for partial shaded grid connected PV plant via MFO approach
Sol. Energy
(2018) - et al.
A novel technique to extract the maximum power of photovoltaic array in partial shading conditions
Electrical Power Energy Syst.
(2018) - et al.
Comparisons of MPPT performances of isolated and non-isolated DC–DC converters by using a new approach
Renew. Sustain. Energy Rev.
(2016) - et al.
Hybrid maximum power point tracking techniques: a comparative survey, suggested classification and uninvestigated combinations
Sol. Energy
(2018) - et al.
Modeling, analysis and comparison of solar photovoltaic array configurations under partial shading conditions
Sol. Energy
(2015) - et al.
Global maximum power point tracking based on ANFIS approach for PV array configurations under partial shading conditions
Renew. Sustain. Energy Rev.
(2017) - et al.
A review of global maximum power point tracking techniques of photovoltaic system under partial shading conditions
Renew. Sustain. Energy Rev.
(2018) - et al.
Comparative and comprehensive review of maximum power point tracking methods for PV cells
Renew. Sustain. Energy Rev.
(2018)
Application of soft computing techniques for maximum power point tracking of SPV system
Sol. Energy
Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies
Sol. Energy
Dynamic global maximum power point tracking of the PV systems under variant partial shading using hybrid GWO-FLC
Sol. Energy
A modified cat swarm optimization based maximum power point tracking method for photovoltaic system under partially shaded condition
Energy
A comparative investigation of maximum power point tracking methods for solar PV system
Sol. Energy
Maximum power point tracking methodologies for solar PV systems – a review
Renew. Sustain. Energy
Application of bio-inspired algorithms in maximum power point tracking for PV systems under partial shading conditions – a review
Renew. Sustain. Energy Rev.
A novel power-increment based GMPPT algorithm for PV arrays under partial shading conditions
Sol. Energy
MPPT in PV systems under partial shading conditions using artificial vision
Electr. Power Syst. Res.
Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm
Knowledge-Based Syst.
A review on MPPT techniques of PV system under partial shading condition
Renew. Sustain. Energy Rev.
An improved P&O algorithm integrated with artificial bee colony for photovoltaic systems under partial shading conditions
Sol. Energy
A new approach in tracking maximum power under partially shaded conditions with consideration of converter losses
Sol. Energy
Maximum power extraction in solar renewable power system- a bypass diode scanning approach
Comput. Electr. Eng.
Novel bio-inspired memetic salp swarm algorithm and application to MPPT for PV systems considering partial shading condition
J. Cleaner Prod.
An enhanced adaptive P&O MPPT for Fast and efficient tracking under varying environmental conditions
IEEE Trans. Sustain. Energy
A novel maximum power point tracking method based on particle swarm optimization combined with one cycle control
Proceedings of the International Conference on Power, Instrumentation, Control and Computing (PICC). Thrissur
A global maximum power point tracking technique based on current source region detection of I-V curve
Proceedings of the IEEMA Engineer Infinite Conference (eTechNxT). New Delhi, India, 13–14 March
Comparative study of different DC/DC power converter for optimal PV system using MPPT (P&O) method
Appl. Solar Energy
Topologies of DC-DC converter in solar PV applications
Indonesian J. Electr. Eng. Comput. Sci.
Hybrid global maximum power point tracking approach for photovoltaic power optimisers
IET Renew Power Gener.
An enhanced scanning-based MPPT approach for DMPPT systems
Int. J. Electron.
Control and circuit techniques to mitigate partial shading effects in photovoltaic arrays
IEEE J. Photovolt.
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