scholarly journals Optimal Hybrid PV Array Topologies to Maximize the Power Output by Reducing the Effect of Non-Uniform Operating Conditions

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 3014
Author(s):  
Suneel Raju Pendem ◽  
Suresh Mikkili ◽  
Shriram S. Rangarajan ◽  
Sudhakar Avv ◽  
Randolph E. Collins ◽  
...  
Keyword(s):  
Power Output ◽  
Power Loss ◽  
Short Circuit ◽  
Local Maximum ◽  
Operating Conditions ◽  
Maximum Power ◽  
Global Maximum ◽  
Maximum Power Point ◽  
Pv Array ◽  
Power Point

The photovoltaic (PV) system center inverter architecture comprises various conventional array topologies such as simple-series (S-S), parallel (P), series-parallel (S-P), total-cross-tied (T-C-T), bridge-linked (B-L), and honey-comb (H-C). The conventional PV array topologies under non-uniform operating conditions (NUOCs) produce a higher amount of mismatching power loss and represent multiple maximum-power-points (M-P-Ps) in the output characteristics. The performance of T-C-T topology is found superior among the conventional topologies under NUOCs. However, T-C-T topology’s main limitations are higher redundancy, more number of electrical connections, higher cabling loss, poor performance during row-wise shading patterns, and more number of switches and sensors for the re-configuration of PV modules. This paper proposes the various optimal hybrid PV array topologies to overcome the limitations of conventional T-C-T array topology. The proposed hybrid topologies are such as series-parallel-cross-tied (S-P-C-T), bridge-link-cross-tied (B-L-C-T), honey-comb-cross-tied (H-C-C-T), series-parallel-total-cross-tied (S-P-T-C-T), bridge-link-total-cross-tied (B-L-T-C-T), honey-comb-total-cross-tied (H-C-T-C-T), and bridge-link-honey-comb (B-L-H-C). The proposed hybrid topologies performance is evaluated and compared with the conventional topologies under various NUOCs. The parameters used for the comparative study are open-circuit voltage, short-circuit current, global-maximum-power-point (GMPP), local-maximum-power-point (LMPP), number of LMPPs, and fill factor (FF). Furthermore, the mismatched power loss and the conversion efficiency of conventional and hybrid array topologies are also determined. Based on the results, it is found that the hybrid array topologies maximize the power output by mitigating the effect of NUOCs and reducing the number of LMPPs.

An Advanced MPPT Based on Artificial Bee Colony Algorithm for MPPT Photovoltaic System under Partial Shading Condition

2017 ◽  
Vol 8 (2) ◽  
pp. 647 ◽  
Author(s):  
Salmi Hassan ◽  
Badri Abdelmajid ◽  
Zegrari Mourad ◽  
Sahel Aicha ◽  
Baghdad Abdenaceur
Keyword(s):  
Local Maximum ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Solar Irradiation ◽  
Global Maximum ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pv Array ◽  
Point Tracking ◽  
Power Point

<p>Maximum power point tracking (MPPT) algorithms are employed in photovoltaic (PV) systems to make full utilization of PV array output power, which have a complex relationship between ambient temperature and solar irradiation. The power-voltage characteristic of PV array operating under partial shading conditions (PSC) exhibits multiple local maximum power points (LMPP). In this paper, an advanced algorithm has been presented to track the global maximum power point (GMPP) of PV. Compared with the Perturb and Observe (P&amp;O) techniques, the algorithm proposed the advantages of determining the location of GMPP whether partial shading is present.</p>

Improved PSO Algorithm Based MPPT Control under Partial Shaded Environment

2013 ◽  
Vol 798-799 ◽  
pp. 620-623
Author(s):  
An Qi Pan ◽  
Kai Ru Zhang ◽  
Xue Jiao Chu ◽  
Cheng Cheng Xing
Keyword(s):  
Power Output ◽  
Local Maximum ◽  
Mathematic Model ◽  
Pso Algorithm ◽  
Maximum Power ◽  
Maximum Point ◽  
Maximum Power Point ◽  
Pv Array ◽  
Power Point ◽  
Improved Pso

In partial shaded environment, the power output of generation system which contains multiple sets of PV cells presented multi-peak characteristic. Traditional maximum power point tracking (MPPT) couldnt maximize the capability of PV array in the reason that they were likely to fall into local maximum point. MPPT control based on improved PSO algorithm can solve the accuracy problem of multi-peak output efficiency, as well as improve the maximum power point (MPP) searching speed through adaptive learning factors and inertia weight. Using Simulink and the mathematic model of single PV cell, the simulation model of PV array under different topology can be build. On this basis, the power output curves and regularities under various partial shaded situations can be obtained. Simulated the improved MPPT method in MATLAB, the superiorities was obtained by contrasting with existing MPPT methods in both MPP searching speed and accuracy.

scholarly journals An Intelligent Automatic Adaptive Maximum Power Point Tracker for Photovoltaic Module Arrays

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4775
Author(s):  
Kuei-Hsiang Chao ◽  
Yu-Ju Lai
Keyword(s):  
Digital Signal Processor ◽  
Local Maximum ◽  
Maximum Power ◽  
Photovoltaic System ◽  
Global Maximum ◽  
Photovoltaic Module ◽  
Maximum Power Point ◽  
Maximum Power Point Tracker ◽  
Tlbo Algorithm ◽  
Power Point

In this study, a maximum power point tracker was developed for photovoltaic module arrays by using a teacher-learning-based optimization (TLBO) algorithm to control the photovoltaic system. When a photovoltaic module array is shaded, a conventional maximum power point tracker may obtain the local maximum power point rather than the global maximum power point. The tracker developed in this study was aimed at solving this problem. To prove the viability of the proposed method, a SANYO HIP 2717 photovoltaic module with diverse connection patterns and shading ratios was used. Thus, single-peak, double-peak, triple-peak, and multi-peak power–voltage characteristic curves of the photovoltaic module array were obtained. A simulation of maximum power point tracking (MPPT) was then performed with MATLAB software. With regard to practical testing, a boost converter was used as the hardware structure of the maximum power point tracker and a TMS320F2808 digital signal processor was selected to execute the rules for MPPT. The results of the practical tests verified that the proposed improved TLBO algorithm had a superior accuracy to existing TLBO algorithms. In addition, the proposed improved TLBO algorithm can shorten the tracking time to 1/2 or 1/4, so it can improve the efficiency of power generation by two to three percentage.

scholarly journals A Novel PV Array Reconfiguration Algorithm Approach to Optimising Power Generation across Non-Uniformly Aged PV Arrays by Merely Repositioning

J ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. 32-53 ◽  
Author(s):  
Mohammed Alkahtani ◽  
Zuyu Wu ◽  
Colin Sokol Kuka ◽  
Muflah S. Alahammad ◽  
Kai Ni
Keyword(s):  
Cost Effective ◽  
Maximum Power ◽  
Global Maximum ◽  
Energy Potential ◽  
Maximum Power Point ◽  
Pv Array ◽  
Point Tracking ◽  
Novel Approach ◽  
Pv Modules ◽  
Power Point

Photovoltaic (PV) module working conditions lack consistency and PV array power outputs fluctuate due to the non-uniform impact that aging has on various PV modules in a PV array. No assessment has been conducted on the energy potential of a non-uniform PV array, despite the fact that the maximum power point (MPP) can be tracked by global maximum power point tracking (GMPPT). Therefore, the present work undertakes such an assessment by devising an algorithm to optimise the PV array electrical structure as the PV modules undergo aging in a non-uniform way. To enable PV arrays with non-uniform aging to produce as much power as possible and to make maintenance more cost-effective, the work puts forward a novel approach for reconfiguring PV arrays, where the PV modules are repositioned by retaining the aged PV modules. By this approach, the selection of the best reconfiguration topology necessitates the information on the electrical parameters associated with the PV modules in an array. Furthermore, the non-uniform aging of the PV modules can engender an incompatibility effect, which can be diminished in the proposed algorithm through iterative sorting of the modules in a hierarchical pattern. To determine how effective the method is for PV arrays with non-uniform aging and of different sizes, such as 3 × 4, 5 × 8 and 7 × 8 arrays, computer simulation and analysis have been conducted, with findings indicating that, irrespective of dimensions, PV arrays with non-uniform aging can have improved power yield.

scholarly journals MPPT for a PV Grid-Connected System to Improve Efficiency under Partial Shading Conditions

2020 ◽  
Vol 12 (24) ◽  
pp. 10310 ◽  
Author(s):  
Abdulaziz Almutairi ◽  
Ahmed G. Abo-Khalil ◽  
Khairy Sayed ◽  
Naif Albagami
Keyword(s):  
Solar Cell ◽  
Local Maximum ◽  
Maximum Power ◽  
Convergence Time ◽  
Global Maximum ◽  
Cell Array ◽  
Pv System ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Power Point

The disadvantage of photovoltaic (PV) power generation is that output power decreases due to the presence of clouds or shade. Moreover, it can only be used when the sun is shining. Consequently, there is a need for further active research into the maximum power point tracking (MPPT) technique, which can maximize the power of solar cells. When the solar cell array is partially shaded due to the influence of clouds or buildings, the solar cell characteristic has a number of local maximum power points (LMPPs). Conventional MPPT techniques do not follow the actual maximum power point, namely, the global maximum power point (GMPP), but stay in the LMPP. Therefore, an analysis of the occurrence of multiple LMPPs due to partial shading, as well as a study on the MPPT technique that can trace GMPP, is needed. In order to overcome this obstacle, the grey wolf optimization (GWO) method is proposed in order to track the global maximum power point and to maximize the energy extraction of the PV system. In addition, opposition-based learning is integrated with the GWO to accelerate the MPPT search process and to reduce convergence time. Simultaneously, the DC link voltage is controlled to reduce sudden variations in voltage in the event of transients of solar radiation and/or temperature. Experimental tests are presented to validate the effectiveness of the proposed MPPT method during uniform irradiance and partial shading conditions. The proposed method is compared with the perturbation and observation method.

scholarly journals Exergetic Optimization of a Solar Photovoltaic Array

2009 ◽  
Vol 2009 ◽  
pp. 1-11 ◽  
Author(s):  
Faramarz Sarhaddi ◽  
Said Farahat ◽  
Hossein Ajam ◽  
Amin Behzadmehr
Keyword(s):  
Short Circuit ◽  
Exergy Efficiency ◽  
Maximum Power ◽  
Electrical Performance ◽  
Design Parameters ◽  
Solar Photovoltaic ◽  
Maximum Power Point ◽  
Photovoltaic Array ◽  
Pv Array ◽  
Power Point

An exergetic optimization is developed to determine the optimal performance and design parameters of a solar photovoltaic (PV) array. A detailed energy and exergy analysis is carried out to evaluate the electrical performance, exergy destruction components, and exergy efficiency of a typical PV array. The exergy efficiency of a PV array obtained in this paper is a function of climatic, operating, and design parameters such as ambient temperature, solar radiation intensity, PV array temperature, overall heat loss coefficient, open-circuit voltage, short-circuit current, maximum power point voltage, maximum power point current, and PV array area. A computer simulation program is also developed to estimate the electrical and operating parameters of a PV array. The results of numerical simulation are in good agreement with the experimental measurements noted in the previous literature. Finally, exergetic optimization has been carried out under given climatic, operating, and design parameters. The optimized values of the PV array temperature, the PV array area, and the maximum exergy efficiency have been found. Parametric studies have been also carried out.

scholarly journals Investigation of Partial Shading Scenarios on a Photovoltaic Array’s Characteristics

Electronics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 96
Author(s):  
Abdelilah Chalh ◽  
Aboubakr El Hammoumi ◽  
Saad Motahhir ◽  
Abdelaziz El Ghzizal ◽  
Aziz Derouich ◽  
...  
Keyword(s):  
Maximum Power ◽  
Global Maximum ◽  
Pv System ◽  
Maximum Power Point ◽  
Simple Method ◽  
Partial Shading ◽  
Pv Array ◽  
Power Point ◽  
Two Peaks ◽  
The Impact

The purpose of this study is to investigate the impact of different partial shading scenarios on a PV array’s characteristics in order to develop a simple and easy-to-implement GMPP controller that tracks the PV array’s global maximum power point (GMPP). The P-V characteristic of the PV array becomes more complicated under partial shading, owing to the presence of many power peaks, as opposed to uniform irradiance conditions, when there is only one peak called the maximum power point. In fact, and according to an experiment conducted in this study, when a PV array is partially shaded, the P-V characteristic mostly presents two peaks, given the existence of only two levels of irradiance, one of which is called the global peak (i.e., the GMPP). Furthermore, the first peak is located at Vmpp1 (the PV array’s voltage corresponds to this peak), whereas the second is at Vmpp2. The proposed approach works by estimating the values of Vmpp1 and Vmpp2 using two equations in order to control the DC/DC converter of the PV system. The first equation is used when the GMPP is at the first peak, while the other is used when the GMPP is at the second peak. Several scenarios are simulated and presented in this paper to verify the accuracy of these equations. In addition, some conclusions are drawn to suggest a simple method for tracking the GMPP.

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