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I-V and P-V characteristics of PV module at different insolation levels and temperature values: (a) I-V characteristics of the module at different insolation levels; (b) P-V characteristics of the module at different insolation levels; (c) I-V characteristics of the module at different temperature values; (d) P-V characteristics of the module at different temperature values.
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This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic generators using the direct duty ratio control tracking algorithm. Analysis of the buck, boost, and buck-boost converters has been undertaken to study the behavior of the...
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Context 1
... can be observed from Figure 2 that at constant temperature, with the increase in insola- tion levels, the area under the I-V curve increases and the power output of the PV panel also increases. The constant insolation and varying temperature on the other hand shows that with increase in temperature the area under I-V curve decreses and the power output of the PV mod- ule also decreases. ...Context 2
... at low insolation levels and temperature, the tracker losses its ability to track the MPP due to very high resistance of the panel and the mismatch of this value with R i (for R L ¼ 5 X). The MPP tracking curve and the tracking efficiency for resistive loads of 20 X and 5 X for a buck converter are shown in Figures 12 and 13. ...Similar publications
Compared with inductive DC-DC boost converters [1], the charge pump (CP) features no off-chip inductors and is suitable for monolithic low power energy harvesting applications such as Internet of Things (loT) smart nodes. However, the single conversion ratio (CR) CP has a narrow input voltage range. This induces a charge redistribution loss (CRL) a...
This paper introduces the comprehensive as well as comparative study on P&O and INC method for photo-voltaic systems. The photovoltaic (PV) module efficiency conversion is affected by DC-DC converter design and the MPPT algorithms have been implemented by taking converter into consideration. Here in this paper two algorithms are compared and to loc...
The constant voltage (CV) for maximum power point tracking (MPPT) technique is considered one of the most commonly used techniques in the photovoltaic (PV) applications. This study is aimed at proposing an adaptive reference voltage-based MPPT technique (ARV) to improve the performance of the CV technique by making it adaptable to weather condition...
This paper makes a comparative investigation of the three basic non-isolated dc-dc converters used as interface for maximum power point tracking (MPPT) application in photovoltaic (PV). A constraint based analysis of the buck, boost and buck – boost converters is discussed in brief to study the behavior of the converter's performance with respect t...
The maximum power point tracker techniques vary in many aspects as simplicity, digital or analogical implementation, sensor required, convergence speed, range of effectiveness, implementation hardware, popularity, cost and in other aspects. This paper presents in details comparative study between two most popular algorithm technique which is increm...
Citations
... Figure 1. Electrical circuit of a DC-DC boost converter [30] The ripple in the current and voltage along with the dimension of the inductor for the CCM operation and the bandwidth limitation impose the constraints to the optimization problem. They are calculated as (4)-(8): ...
Design optimization of a DC-DC boost converters for minimizing overall operational losses is the problem under study. The optimum design contains selecting the best value of circuit inductance, capacitance, and switching frequency for the continuous conduction mode (CCM) operation. The design constraints selected are the current ripple content, ripple content of voltage, and bandwidth for operation in CCM. Grey wolf optimizer (GWO) algorithm is implemented for the boost DC-DC converter’s optimal design. The comparative investigation of algorithms reveals that GWO outperforms other established optimization algorithms like the particle swarm optimization (PSO), moth flame optimization (MFO) algorithm, simulated annealing (SA) and firefly algorithm (FFA) in terms of convergence time, computational effort, and the minimized system losses while finding the most efficient design of the converter. Parametric study on statistical performance indicates that the GWO algorithm outperforms the rest of the optimization algorithms on comparing with previously reported results. The optimized results obtained in the current work provides and improved converter design with reduction in the power loss in the optimized design of the converter by over 15% from previously reported works.
... DC-DC boost converters[28]. ...
Maximum power point tracking (MPPT) algorithms, which are used in photovoltaic systems and provide a great increase in energy efficiency, and a technique used to obtain the maximum amount of power from solar panels by constantly monitoring the optimum operating point of the panels, which changes depending on environmental conditions. There are many methods of this technique used to optimize the energy output of solar panels. In our study, the incremental conductivity (IC) MPPT algorithm, which is one of these methods, was used in the photovoltaic DC-DC boosting converter system and its design and application were made in MATLAB/Simulink. As a result of the study, the efficiency was obtained at around 96% with the contribution of the incremental conductivity algorithm to the system.
... Tracking methods and DC-DC converter interfaces differ in literature. The converter selection affects the MPPT algorithm, tracking capabilities, and operating point efficiency to extract maximum power from solar radiation, temperature, and load profile [6], [36]. Technology-dependent PV panels and converter interfaces require a suitable methodology. ...
... The Kyocera KC-120-1 PV module is taken as a reference in this paper and its model in the software platform is developed in MATLAB/Simulink and presented in detail in references [6], [36]. The model developed closely matches the electrical specification provided by the manufacturer's datasheet as seen in Figure 4. Figure 5 shows the schematic diagrams for working of the boost converter. ...
... The current study implements five popular MPP tracking schemes to make a comparative investigation of their performance to external atmospheric perturbations. To avoid repetition of the well-known algorithms considered for analysis in this study the reader is referred to earlier works which discuss in detail the philosophy of perturb and observe algorithm [6], [5] for fuzzy logic and artificial neural networks and [33], [38] for cuckoo search algorithm. ...
Working performance of a PV module or array is largely reliant on climate (temperature/irradiation) and is also non-linear. Maximum power point tracking (MPPT) must be used to guarantee that the PV array generates the greatest electricity under any conditions. Researchers have proposed many approaches to track peak performance. There are benefits and drawbacks to every approach. Some approaches might be difficult to apply, while others provide erroneous results. MPPT boosts photovoltaic (PV) system efficiency and electricity output. Current research focuses on designing, developing, and using fast-tracking algorithms with strong dynamic performance and tracking capabilities. Without a uniform test bench, defending the optimal algorithm and converter combination is difficult. MPPT uses artificial neural networks, fuzzy logic control, cuckoo search, perturb and observe, and particle swarm optimisation (PSO) approaches. This study suggests evaluating these well-known MPPT algorithms on a 120 Wp standalone PV system with a dc-dc boost converter MPPT power interface. Tracking efficiency, inaccuracy, relative power loss, and gain are best using the PSO algorithm. Tracking efficiency improves by about 1% compared to other methods and roughly 4.5-5% for previously reported values.
... With an overview of the literature, we can find different buck-boost topologies that have been developed over the years. A diode-based buck boost converter topology is depicted in Figure 1, which is an inverting buck-boost converter, meaning that the output voltage is of the opposite polarity to the input [2]. To overcome the opposite polarity problem, non-inverting topologies have been developed [3][4][5][6]. ...
This paper presents a novel inductorless dual-mode buck-boost charge pump (CP) based DC-DC converter. The proposed architecture allows the same circuit to accomplish two modes of operation, buck and boost, for degrading or elevating the output voltage, respectively, compared to the input. To achieve each mode, only a switching of the input–output connections is needed without any other modification in the design of the DC-DC converter. The dual-mode configuration aims to merge two different functions into one circuit, minimizing the design time and the area the DC-DC converter occupies on the die. The proposed buck-boost CP has been designed using TSMC 65 nm complementary metal–oxide–semiconductor (CMOS) technology. The functional input voltage range of the CP in boost mode is 1.2 V to 1.8 V and the typical output voltage is 1.8 V. For the buck mode, the input voltage range is 3.2 V to 3.6 V and the output is 1.5 V. For both modes, the output can be easily modified to new values by changing the comparator configuration. Efficiency results are also provided for the two modes.
... Fig. 5. DC-DC Buck converter (non-isolated) [20] B. Boost Converter Fig. 6. Non-isolated DC-DC Boost converter [21] The basic circuitry of the boost converter is shown in figure 6. The converter utilizes the combination of a inductor and capacitor in a manner to produce output which exceeds the input voltage. ...
... The duty ratio parameter is regulated by the switching control of the converter. The gain in the circuit is given by [21]: ...
... The advantage of the bio-inspired metaheuristic algorithm is that it can track GMPP in both non-shading conditions with uniform irradiation and partial shading conditions with non-uniform irradiation. The fundamental differences between the algorithms include the speed of convergence, the range of effectiveness, control parameters, the level of design complexity, the sensors used, and the cost of hardware implementation [17]- [19]. ...
span>A new maximum power point tracking (MPPT) technique based on the bio-inspired metaheuristic algorithm for photovoltaic system (PV system) is proposed, namely tunicate swarm algorithm-based MPPT (TSA-MPPT). The proposed algorithm is implemented on the PV system with five PV modules arranged in series and integrated with DC-DC buck converter. Then, the PV system is tested in a simulation using PowerSim (PSIM) software. TSA-MPPT is tested under varying irradiation conditions both uniform irradiation and non-uniform irradiation. Furthermore, to evaluate the performance, TSA-MPPT is compared with perturb & observe-based MPPT (P&O-MPPT) and particle swarm optimization-based MPPT (PSO-MPPT). The TSA-MPPT has an accuracy of 99% and has a reasonably practical capability compared to the MPPT technique, which already existed before.</span
... This causes a mismatch between the fixed load resistance, which is directly powered by the PV, and the variable PV resistance, preventing maximum power transfer from the PV source to the load under different weather conditions. A DC-DC converter is inserted between the PV system and the load to compensate for the mismatch between the load and the source resistances by varying the duty cycle of the DC-DC converter [4] [5]. ...
Understanding in such way the maximum available power generated by the photovoltaic (PV) array varies with the weather is critical for improving system efficiency by encouraging the PV system to operate at that maximum power point (MPP). Therefore, to maintain optimum power functioning at all irradiance levels and temperatures, a Maximum Power Point Tracking (MPPT) system is necessary. MPPT methods have been developed and implemented in a number of studies. The accuracy, convergence speed, ease of hardware implementation, PV dependency, number of necessary sensors, which are significantly differ across these systems. The first technique to be introduced was a single MPPT technique. However, as it works independently, it was unable to achieve several of the required characteristics. Afterwards, the merger techniques of multiple MPPTs and the combination of both (single and multiple MPPTs’ techniques) due to integrate the benefits of each algorithm while removing their limitations. Comparing and surveying MPPT algorithms in general took a significant amount of time. Despite this, there is a limited literature examining the combination techniques towards the multiple MPPT techniques and the single one. This paper presents the work and uses MATLAB/Simulink platform to simulate it. It is based on a study that contrasts single MPPT techniques with different combinations, namely the constant voltage (CV) method, the perturb and observe (PO) method and the combination of both (CV+PO), in order to validate MPPT's better performance.
... A non-isolated conventional boost converter suffers from many demerits like high duty ratio and high reverse recovery losses. The non-isolated high gain dc-dc structures are mostly ideal for this application due to reduced switches, high gain with low duty ratio, and simple control [16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31]. ...
Renewable powered dc microgrid is more cost-effective, simple, reliable, highly efficient, and scalable than the traditional electric grid. This paper provides an overview of high gain dc converter topologies for dc microgrids. This research's primary objective is to impart a unique extensive, comparative, and perceptive analysis in high gain converter configurations. The most recently reported research articles are considered for discussion in this paper. Initially, based on the structural configurations, the converters are segregated and are grouped into four categories, such as Replacement, Reduced Redundant Power Processing (R²P²), Incorporation, Integration (R²I²) techniques. Secondly, based on the dynamic and steady-state analysis, the topological converter configurations are comparatively analyzed. A few topologies' mathematical modeling is also discussed to obtain a comprehensive insight into the converter's dynamic behavior. An extensive analysis, comparisons, and assessment of these converters with diverse configurations are acquainted with tables and figures are presented for choosing an appropriate converter suitable for dc grid application. The pros and cons of the topology derivation under each categorization are presented for benefitting the researchers in selecting the topological configuration method. In the end, the comparison results of the high gain converter clusters are summarized, and recommendations are given, which leads to the guidelines for selecting a significant high gain topology for a specific application. Furthermore, the constraints considered for topology derivation with the type of analysis carried out are presented. This gives a way to find the scope for future research under this area which is finally offered. This study will also provide an insight into the derivation of several configurations of the novel high gain dc-dc converter in the field of dc microgrid.
... When proposing an MPP tracker, the most important job is to choose and design a highly efficient DC-DC converter to regulate converter output voltage. There are number of converter topologies used in PV system; fundamental converters such as buck, boost, and buck-boost; higher order converters such as CUK, SEPIC converters (Sivakumar et al., 2016;Bhattacharjee and Saharia, 2014). They all have their own merits and demerits suitable specified application. ...
... The operating point of the module in that specific voltage level is detected as well as there is some power loss due to this perturbation, leads to flops to tracking the power under fast fluctuating atmospheric circumstances. But still, in the technique is very popular in addition simple [1]. The procedure equivocates at the steady state around the extreme point. ...
Even though solar energy is a fuel free energy generation, but the difficulty involved with the novel generation is needed to consider all the accepts, such as isolation, irradiance and all other atmospheric conditions, including the angle placement of solar cells, causes a low performance with all these conditions not possible to get maximum power at better efficiency. To get the maximum electrical power from the available solar isolation needs to incorporate the novel techniques to increasing the efficiency of the solar system. Out of all maximum power point tracking (MPPT) techniques, the simplest method is perturb and observation method because it is a easiest method out of all other MPPT techniques and it is easier to implementation for DC to DC converters are used to convert the power delivered by the solar system as per the requirement, some of the DC-DC converters are used in the theoretical analysis are boost, buck-boost and CUK converters with the MPPT techniques have been resolved with the help of MATLAB/Simulink and computed the diversity among each and every converter in this paper.
